patent_num
int64 3.93M
10.2M
| claim_num1
int64 1
519
| claim_num2
int64 2
520
| sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
0.99
|
|---|---|---|---|---|---|
8,165,881 | 10 | 15 | 10. A text-to-speech (TTS) control system for use in an automotive vehicle comprising: at least one vehicle sensor adapted for measuring at least one operating state of the automotive vehicle; a TTS voice synthesizer for synthesizing a TTS voice; a TTS phrase database operatively coupled to the TTS voice synthesizer for providing data to be synthesized, the data comprising at least a plurality of phrases; and a TTS processing engine comprising: a TTS parameter database operatively coupled to the TTS voice synthesizer and adapted for storing at least one TTS voice parameter for controlling a characteristic of the TTS voice; a TTS parameter calculation module operatively coupled to the at least one vehicle sensor and adapted for calculating a value of the at least one TTS voice parameter based on the at least one operating state of the automotive vehicle; a phrase break detector operatively coupled to the TTS phrase database and adapted for detecting at least one break in the plurality of phrases and for controlling an update of the at least one TTS voice parameter stored in the TTS parameter database; and a TTS parameter damping module adapted for filtering the value of the at least one TTS voice parameter calculated by the TTS parameter calculation module and for further controlling the update of the at least one TTS voice parameter stored in the TTS parameter database. | 10. A text-to-speech (TTS) control system for use in an automotive vehicle comprising: at least one vehicle sensor adapted for measuring at least one operating state of the automotive vehicle; a TTS voice synthesizer for synthesizing a TTS voice; a TTS phrase database operatively coupled to the TTS voice synthesizer for providing data to be synthesized, the data comprising at least a plurality of phrases; and a TTS processing engine comprising: a TTS parameter database operatively coupled to the TTS voice synthesizer and adapted for storing at least one TTS voice parameter for controlling a characteristic of the TTS voice; a TTS parameter calculation module operatively coupled to the at least one vehicle sensor and adapted for calculating a value of the at least one TTS voice parameter based on the at least one operating state of the automotive vehicle; a phrase break detector operatively coupled to the TTS phrase database and adapted for detecting at least one break in the plurality of phrases and for controlling an update of the at least one TTS voice parameter stored in the TTS parameter database; and a TTS parameter damping module adapted for filtering the value of the at least one TTS voice parameter calculated by the TTS parameter calculation module and for further controlling the update of the at least one TTS voice parameter stored in the TTS parameter database. 15. The TTS parameter damping module of claim 10 , further comprising a moving-average filter adapted for averaging the value of the at least one TTS voice parameter calculated by the TTS parameter calculation module with values of the at least one TTS voice parameter calculated by the TTS parameter calculation module at previous times. | 0.623608 |
10,007,722 | 8 | 9 | 8. A computer program product for improving engagement of user in collaboration activities, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code comprising the programming instructions for: detecting a request to select an artifact in a communication system, wherein said artifact is a digital object displayed to said user on a user's computing device that is used for engaging in collaborative activity with other users, wherein said selecting said artifact comprises selecting to view a collaboration summary of said artifact, wherein said selection of said artifact is detected to have occurred in response to one of the following: said artifact having a threshold number of updates over a period of time and said artifact is associated with a threshold number of users; analyzing said communication system for identifying collaboration activities related to said artifact using natural language processing to identify other related artifacts; retrieving details of said artifact upon detecting said user selecting said artifact; retrieving details concerning said identified collaboration activities related to said artifact, wherein said details are selected from the group consisting of: names of users who made postings and time and date of said postings; analyzing said details of said artifact and said details concerning said identified collaboration activities related to said artifact; creating a list of artifacts related to said artifact based on said analysis of said details of said artifact and said details concerning said identified collaboration activities related to said artifact to identify other related activities; determining for each artifact in said list of related artifacts if the respective artifact is permitted for collaboration based on a policy associated with said respective artifact, wherein if said respective artifact is not permitted for collaboration, removing said respective artifact from said list of related artifacts; determining collaboration activities for each artifact in said list of related artifacts, wherein said collaboration activities for each artifact in said list of related artifacts are determined using natural language processing; analyzing said determined collaboration activities for each artifact in said list of related artifacts; forming said collaboration summary for each artifact in said list of related artifacts based on said analysis of said determined collaboration activities for each artifact in said list of related artifacts, wherein said collaboration summary comprises a summary of collaboration activities; weighting said collaboration activities in said collaboration summary for each artifact in said list of related artifacts based on time of said collaboration activities; ordering said collaboration activities in said collaboration summary for each artifact in said list of related artifacts based on said weights; and presenting said collaboration summary for each artifact in said list of related artifacts to a user based on said order. | 8. A computer program product for improving engagement of user in collaboration activities, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code comprising the programming instructions for: detecting a request to select an artifact in a communication system, wherein said artifact is a digital object displayed to said user on a user's computing device that is used for engaging in collaborative activity with other users, wherein said selecting said artifact comprises selecting to view a collaboration summary of said artifact, wherein said selection of said artifact is detected to have occurred in response to one of the following: said artifact having a threshold number of updates over a period of time and said artifact is associated with a threshold number of users; analyzing said communication system for identifying collaboration activities related to said artifact using natural language processing to identify other related artifacts; retrieving details of said artifact upon detecting said user selecting said artifact; retrieving details concerning said identified collaboration activities related to said artifact, wherein said details are selected from the group consisting of: names of users who made postings and time and date of said postings; analyzing said details of said artifact and said details concerning said identified collaboration activities related to said artifact; creating a list of artifacts related to said artifact based on said analysis of said details of said artifact and said details concerning said identified collaboration activities related to said artifact to identify other related activities; determining for each artifact in said list of related artifacts if the respective artifact is permitted for collaboration based on a policy associated with said respective artifact, wherein if said respective artifact is not permitted for collaboration, removing said respective artifact from said list of related artifacts; determining collaboration activities for each artifact in said list of related artifacts, wherein said collaboration activities for each artifact in said list of related artifacts are determined using natural language processing; analyzing said determined collaboration activities for each artifact in said list of related artifacts; forming said collaboration summary for each artifact in said list of related artifacts based on said analysis of said determined collaboration activities for each artifact in said list of related artifacts, wherein said collaboration summary comprises a summary of collaboration activities; weighting said collaboration activities in said collaboration summary for each artifact in said list of related artifacts based on time of said collaboration activities; ordering said collaboration activities in said collaboration summary for each artifact in said list of related artifacts based on said weights; and presenting said collaboration summary for each artifact in said list of related artifacts to a user based on said order. 9. The computer program product as recited in claim 8 , wherein said artifact is selected from the group consisting of: a community, a file, a virtual business card, a folder, a wiki page, a web page, an activity stream, an e-mail application, an instant messenger, a chat session, and a forum. | 0.625 |
9,135,396 | 26 | 27 | 26. The system of claim 25 , wherein the program instructions are configured to, for the at least one misalignment, determine that said word, and said other word, match words of a predetermined set of words, and assign a subscore to said at least one misalignment based on said predetermined set of words. | 26. The system of claim 25 , wherein the program instructions are configured to, for the at least one misalignment, determine that said word, and said other word, match words of a predetermined set of words, and assign a subscore to said at least one misalignment based on said predetermined set of words. 27. The system of claim 26 , wherein said predetermined set of words comprises one of: a set of multiple colors and a set of multiple sizes. | 0.707113 |
7,900,134 | 1 | 4 | 1. A method of providing a user interface (UI) comprising: rendering a DHTML document from an XML document using a crystal, the crystal containing one or more behaviors and at least one XSLT transformation (XSL-T); presenting a user interface based, at least in part, on the XSL-T that was used to render the DHTML document; receiving, via the user interface, user interactions with the DHTML document; and mapping, via the one or more behaviors, the user interactions to the XML document. | 1. A method of providing a user interface (UI) comprising: rendering a DHTML document from an XML document using a crystal, the crystal containing one or more behaviors and at least one XSLT transformation (XSL-T); presenting a user interface based, at least in part, on the XSL-T that was used to render the DHTML document; receiving, via the user interface, user interactions with the DHTML document; and mapping, via the one or more behaviors, the user interactions to the XML document. 4. The method of claim 1 , wherein the user interface comprises an in-document user interface. | 0.708075 |
9,990,191 | 15 | 17 | 15. One or more computer storage media having computer-executable instructions embodied thereon that, when executed, by one or more physical processors, cause the one or more physical processors to perform operations for translating software, the operations comprising: storing in a first buffer of a first database content extracted from one or more software development files and identified for translation, wherein the first database stores, from one or more third-party application developers, software applications that require translation, wherein one or more languages selected for translation are selected by the one or more third-party application developers; receiving at a second database the content stored in the first buffer of the first database, wherein the second database stores profiles associated with one or more translators; notifying one or more translators of content stored in the second database that matches a language stored in the profiles corresponding to the one or more translators; receiving translated content from the one or more translators and storing the translated content in a second buffer for verification, wherein the second buffer is isolated from the first database that includes the one or more software development files; and loading the translated content into the one or more software development files in the first database. | 15. One or more computer storage media having computer-executable instructions embodied thereon that, when executed, by one or more physical processors, cause the one or more physical processors to perform operations for translating software, the operations comprising: storing in a first buffer of a first database content extracted from one or more software development files and identified for translation, wherein the first database stores, from one or more third-party application developers, software applications that require translation, wherein one or more languages selected for translation are selected by the one or more third-party application developers; receiving at a second database the content stored in the first buffer of the first database, wherein the second database stores profiles associated with one or more translators; notifying one or more translators of content stored in the second database that matches a language stored in the profiles corresponding to the one or more translators; receiving translated content from the one or more translators and storing the translated content in a second buffer for verification, wherein the second buffer is isolated from the first database that includes the one or more software development files; and loading the translated content into the one or more software development files in the first database. 17. The media of claim 15 , wherein notifications are sent to one or more mobile devices or one or more computing devices identified in the profiles associated with the one or more translators that match one or more languages associated with the content selected for translation. | 0.5 |
7,801,912 | 25 | 27 | 25. The system as recited in claim 1 , wherein the plurality of nodes is distributed among two or more data centers. | 25. The system as recited in claim 1 , wherein the plurality of nodes is distributed among two or more data centers. 27. The system as recited in claim 25 , wherein each data center includes, from the plurality of nodes: one or more storage nodes configured to persistently store at least a portion of the searchable indexes; one or more query nodes each configured to maintain a local query cache of responses to previous query requests; and at least one coordinator node configured to: receive service requests from the web services platform; forward each storage request to one or more of the storage nodes in the data center; and forward each query request to one or more of the query nodes in the data center. | 0.5 |
8,510,173 | 1 | 6 | 1. A method programmed in a non-transitory memory of a device comprising: a. automatically fact checking an email to determine a factual accuracy of the email by comparing, with the device, the email with source information, wherein fact checking occurs after the email is sent; and b. automatically indicating a status of the email based on a result of the comparison of the email with the source information. | 1. A method programmed in a non-transitory memory of a device comprising: a. automatically fact checking an email to determine a factual accuracy of the email by comparing, with the device, the email with source information, wherein fact checking occurs after the email is sent; and b. automatically indicating a status of the email based on a result of the comparison of the email with the source information. 6. The method of claim 1 wherein the source information comprises a plurality of sources, and each source of the plurality of sources has a reliability rating. | 0.874803 |
9,124,922 | 3 | 4 | 3. The method according to claim 1 , where determining that the frame of video contains a table having cells containing text is carried out by tracking remote control commands transmitted from a remote control to identify commands that result in display of a table having cells containing text. | 3. The method according to claim 1 , where determining that the frame of video contains a table having cells containing text is carried out by tracking remote control commands transmitted from a remote control to identify commands that result in display of a table having cells containing text. 4. The method according to claim 3 , where the commands comprise commands that cause display of a program guide, list of content, PVR list, dialogue box, closed captioning, or setup table. | 0.5 |
9,454,760 | 11 | 13 | 11. A system, comprising: a communications interface; a computer memory; a processor coupled to the computer memory; and wherein the processor accesses a message of a contact center received from a sender, formulates a portion of a response to the message, store the portion of the response in the memory, accesses a user context of the sender, selects an embellishment in accord with the user context, retrieves the stored portion of the response, updates the retrieved portion of the response to include banter associated with embellishment thereby creating an updated response, and sends the updated response via the communications interface to the sender. | 11. A system, comprising: a communications interface; a computer memory; a processor coupled to the computer memory; and wherein the processor accesses a message of a contact center received from a sender, formulates a portion of a response to the message, store the portion of the response in the memory, accesses a user context of the sender, selects an embellishment in accord with the user context, retrieves the stored portion of the response, updates the retrieved portion of the response to include banter associated with embellishment thereby creating an updated response, and sends the updated response via the communications interface to the sender. 13. The system of claim 11 , wherein the user context comprises, one of age, gender, occupation, marital status, income, education, or area of residency. | 0.771642 |
9,377,950 | 1 | 3 | 1. A computer implemented method of processing a gesture input on a touch screen display device, the method comprising: in response to receiving an invocation gesture on a touch screen display of the touch screen display device, displaying the annotation canvas as at least a partially transparent overlay on the touch screen display; receiving an input gesture on the touch screen display; when the input gesture is detected within the annotation canvas, interpreting the input gesture as an annotation gesture for inputting an annotation, and executing an annotation function associated with the input gesture within the annotation canvas based on the received annotation gesture; when the same input gesture is detected outside of the annotation canvas, interpreting the input gesture as a navigation gesture for moving an underlying graphical space to relocate the annotation canvas, and moving the underlying graphical space to relocate the annotation canvas, and displaying the annotation canvas on the touch screen display so long as the user's touch associated with the invocation gesture is maintained on the touch screen display, and stopping the display of the annotation canvas when the user's touch associated with the invocation gesture is removed from the touch screen display. | 1. A computer implemented method of processing a gesture input on a touch screen display device, the method comprising: in response to receiving an invocation gesture on a touch screen display of the touch screen display device, displaying the annotation canvas as at least a partially transparent overlay on the touch screen display; receiving an input gesture on the touch screen display; when the input gesture is detected within the annotation canvas, interpreting the input gesture as an annotation gesture for inputting an annotation, and executing an annotation function associated with the input gesture within the annotation canvas based on the received annotation gesture; when the same input gesture is detected outside of the annotation canvas, interpreting the input gesture as a navigation gesture for moving an underlying graphical space to relocate the annotation canvas, and moving the underlying graphical space to relocate the annotation canvas, and displaying the annotation canvas on the touch screen display so long as the user's touch associated with the invocation gesture is maintained on the touch screen display, and stopping the display of the annotation canvas when the user's touch associated with the invocation gesture is removed from the touch screen display. 3. A computer implemented method of claim 1 , wherein responsive to receiving the input gesture outside of the annotation canvas, interpreting the gesture outside of the annotation canvas as a navigation input further comprises: blocking execution of the navigation input while the annotation gesture is being received and executed within the annotation canvas. | 0.601545 |
9,971,794 | 1 | 5 | 1. A computer-implemented method comprising providing a processor configured to cause: an engine to receive an existing multi-source universe database comprising a plurality of details; the engine to analyze the existing multi-source universe database referencing a configuration file in order to identify a detail to be changed including vendor and version information, wherein the detail comprises a vendor-specific syntax of a join operation; the engine to register a new single-source connection with a repository; and the engine to reference the configuration file to create a new single-source universe database including the single-source connection and the changed detail by removing a qualifier and an alias table name, and by generating a business layer compatible with the single-source universe database and further comprising a derived table used to generate a native query of the single-source universe database including the join operation updated with a new column name and a new table name. | 1. A computer-implemented method comprising providing a processor configured to cause: an engine to receive an existing multi-source universe database comprising a plurality of details; the engine to analyze the existing multi-source universe database referencing a configuration file in order to identify a detail to be changed including vendor and version information, wherein the detail comprises a vendor-specific syntax of a join operation; the engine to register a new single-source connection with a repository; and the engine to reference the configuration file to create a new single-source universe database including the single-source connection and the changed detail by removing a qualifier and an alias table name, and by generating a business layer compatible with the single-source universe database and further comprising a derived table used to generate a native query of the single-source universe database including the join operation updated with a new column name and a new table name. 5. A method as in claim 1 wherein the configuration file comprises an XML file. | 0.825991 |
9,430,557 | 1 | 2 | 1. A computer system providing an answer to at least one analytical question containing at least one table or at least one chart, the computer system comprising: one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising: receiving an input question containing at least one table or at least one chart, wherein the received input question is entered via a graphical user interface associated with a computer and the received input question is associated with the at least one analytical question; extracting, by the computer, a plurality of information from the input question based on a natural language analysis of the input question; forming a well-defined statement based on the extracted plurality of information; extracting, by the computer, the at least one table or at least one chart associated with the input question; extracting, by the computer, a plurality of information from the extracted at least one table or at least one chart, wherein the extracted plurality of information comprises a data value, a data label, a header, a footer, a legend, an overlay, a unit, a line, an edge, a contour, a shape, a length, a proportion, and an angle; forming at least one mathematical equation based on the well-defined statement and the extracted plurality of information from the extracted at least one table or at least one chart; solving the at least one mathematical equation; determining the answer to the input question in natural language based on the solved at least one mathematical equation; and narrating the determined answer to the input question in natural language, wherein narrating the determined answer to the input question comprises displaying the determined answer to the input question via the graphical user interface. | 1. A computer system providing an answer to at least one analytical question containing at least one table or at least one chart, the computer system comprising: one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising: receiving an input question containing at least one table or at least one chart, wherein the received input question is entered via a graphical user interface associated with a computer and the received input question is associated with the at least one analytical question; extracting, by the computer, a plurality of information from the input question based on a natural language analysis of the input question; forming a well-defined statement based on the extracted plurality of information; extracting, by the computer, the at least one table or at least one chart associated with the input question; extracting, by the computer, a plurality of information from the extracted at least one table or at least one chart, wherein the extracted plurality of information comprises a data value, a data label, a header, a footer, a legend, an overlay, a unit, a line, an edge, a contour, a shape, a length, a proportion, and an angle; forming at least one mathematical equation based on the well-defined statement and the extracted plurality of information from the extracted at least one table or at least one chart; solving the at least one mathematical equation; determining the answer to the input question in natural language based on the solved at least one mathematical equation; and narrating the determined answer to the input question in natural language, wherein narrating the determined answer to the input question comprises displaying the determined answer to the input question via the graphical user interface. 2. The computer system of claim 1 , wherein the extracted at least one table or at least one chart associated with the at least one analytical question is extracted in an image format. | 0.603448 |
9,904,679 | 11 | 16 | 11. A non-transitory computer-readable medium comprising computer program instructions, the computer program instructions when executed by a processor of a computer device causes the processor to perform the steps including: determining a source language for an item of user-generated content; determining language competency information for a viewing user of the item of user-generated content, wherein determining the language competency information comprises: determining, in a social network system, a number of users connected to the viewing user that are competent in a language based on language competency information for the users connected to the viewing user; determining whether the determined number is greater than a threshold; and responsive to determining that the determined number is greater than the threshold, determining that the viewing user is competent in the language; determining whether the language competency information determined for the viewing user indicates a match for the determined source language; upon a determination that the language competency information for the viewing user indicates a match for the determined source language and indicates that the viewing user's primary language is different from the source language, providing for display an option to vote on one or more previously obtained machine-generated translations of the user-generated content into the primary language; receiving a vote from the viewing user on the one or more translations based on the quality of the translations; and providing for display one of the one or more translations to a subsequent viewer of the item of user-generated content based on the received vote. | 11. A non-transitory computer-readable medium comprising computer program instructions, the computer program instructions when executed by a processor of a computer device causes the processor to perform the steps including: determining a source language for an item of user-generated content; determining language competency information for a viewing user of the item of user-generated content, wherein determining the language competency information comprises: determining, in a social network system, a number of users connected to the viewing user that are competent in a language based on language competency information for the users connected to the viewing user; determining whether the determined number is greater than a threshold; and responsive to determining that the determined number is greater than the threshold, determining that the viewing user is competent in the language; determining whether the language competency information determined for the viewing user indicates a match for the determined source language; upon a determination that the language competency information for the viewing user indicates a match for the determined source language and indicates that the viewing user's primary language is different from the source language, providing for display an option to vote on one or more previously obtained machine-generated translations of the user-generated content into the primary language; receiving a vote from the viewing user on the one or more translations based on the quality of the translations; and providing for display one of the one or more translations to a subsequent viewer of the item of user-generated content based on the received vote. 16. The non-transitory computer-readable storage medium of claim 11 , wherein determination of the language competency information for the viewing user is based at least in part on one or more languages used in user-generated content generated by the viewing user. | 0.501887 |
10,019,409 | 7 | 11 | 7. A non-transitory computer program product for providing a remote direct memory access (RDMA) to a memory, the computer program product comprising: a non-transitory computer readable storage medium and program instructions stored on the computer readable storage medium, the program instructions comprising: program instructions to receive, in a first semantic, an RDMA request to a memory in a second semantic; program instructions to encode, in the first semantic, the RDMA request, by encoding a type of the RDMA request into a memory area identifier used for identifying areas of the memory, wherein the memory area identifier is based on an index and a key, wherein the index has a number of bits and wherein the key has a number of bits; program instructions to process the RDMA request based on a number of bits of the memory area identifier, wherein the numbers of bits of the identifier derive from the number of bits of the index and the number of bits of the key; responsive to processing the RDMA request, program instructions to augment: (i) a number of possible operations based of the number of bits of the key, and (ii) storage of the first semantic and the second semantic; and responsive to encoding the RDMA request, program instructions to forward the memory area identifier to the memory. | 7. A non-transitory computer program product for providing a remote direct memory access (RDMA) to a memory, the computer program product comprising: a non-transitory computer readable storage medium and program instructions stored on the computer readable storage medium, the program instructions comprising: program instructions to receive, in a first semantic, an RDMA request to a memory in a second semantic; program instructions to encode, in the first semantic, the RDMA request, by encoding a type of the RDMA request into a memory area identifier used for identifying areas of the memory, wherein the memory area identifier is based on an index and a key, wherein the index has a number of bits and wherein the key has a number of bits; program instructions to process the RDMA request based on a number of bits of the memory area identifier, wherein the numbers of bits of the identifier derive from the number of bits of the index and the number of bits of the key; responsive to processing the RDMA request, program instructions to augment: (i) a number of possible operations based of the number of bits of the key, and (ii) storage of the first semantic and the second semantic; and responsive to encoding the RDMA request, program instructions to forward the memory area identifier to the memory. 11. The non-transitory computer program product of claim 7 , wherein the type of the RDMA request is defined for at least one RDMA operation and at least one RDMA management operation. | 0.5 |
7,765,271 | 3 | 10 | 3. A method as claimed in claim 1 further comprising: b) inputting index data identifying the document data into the index field portion. | 3. A method as claimed in claim 1 further comprising: b) inputting index data identifying the document data into the index field portion. 10. A method as claimed in claim 3 further comprising the step of: c) activating the control element by the user with the user interface to scan the document with a scanner to generate the document data. | 0.5 |
10,002,526 | 1 | 13 | 1. A method comprising: receiving, by a communication module from a data communication subsystem of an appliance, an appliance message that was transmitted from a component of the appliance through the data communication subsystem; receiving, by the communication module, a plurality of appliance messages transmitted through the data communication subsystem, the appliance message being one of the plurality of appliance messages; filtering, by the communication module, the plurality of appliance messages for a predetermined message type to obtain the appliance message; generating, by the communication module, appliance data based on the appliance message; deleting other received appliance messages of the plurality of appliance messages; transmitting, by the communication module to an Internet-of-Things (IoT) platform adapted to determine an identity of the appliance, the appliance data; and receiving, by the communication module from the IoT platform, appliance-specific data based on the identity of the appliance; wherein the communication module is capable of controlling the appliance as an IoT device only after, and not before, the receiving of the appliance-specific data. | 1. A method comprising: receiving, by a communication module from a data communication subsystem of an appliance, an appliance message that was transmitted from a component of the appliance through the data communication subsystem; receiving, by the communication module, a plurality of appliance messages transmitted through the data communication subsystem, the appliance message being one of the plurality of appliance messages; filtering, by the communication module, the plurality of appliance messages for a predetermined message type to obtain the appliance message; generating, by the communication module, appliance data based on the appliance message; deleting other received appliance messages of the plurality of appliance messages; transmitting, by the communication module to an Internet-of-Things (IoT) platform adapted to determine an identity of the appliance, the appliance data; and receiving, by the communication module from the IoT platform, appliance-specific data based on the identity of the appliance; wherein the communication module is capable of controlling the appliance as an IoT device only after, and not before, the receiving of the appliance-specific data. 13. The method of claim 1 , further comprising: receiving, by the communication module from the appliance, the plurality of appliance messages that were transmitted from at least one component of the appliance through the data communication subsystem; generating, by the communication module only once prior to the receiving of the appliance-specific data, the appliance data based on the appliance message; and transmitting, by the communication module only once prior to the receiving of the appliance-specific data, the appliance data. | 0.567524 |
7,584,437 | 4 | 6 | 4. The method of claim 1 , wherein the generated shell provides an infrastructure for the I/O of the semiconductor product. | 4. The method of claim 1 , wherein the generated shell provides an infrastructure for the I/O of the semiconductor product. 6. The method of claim 4 , wherein the infrastructure further configures one or more I/O buffers for one or more impedance levels. | 0.596273 |
9,171,530 | 16 | 17 | 16. The method of claim 9 , wherein the string of input characters is received from a second computing device. | 16. The method of claim 9 , wherein the string of input characters is received from a second computing device. 17. The method of claim 16 , further comprising transmitting the string of musical notes to the second computing device causing the second computing device to acoustically output the string of musical notes. | 0.5 |
5,546,843 | 3 | 4 | 3. The piano key identification system of claim 2, wherein the indicia of each of the informational stickers further includes clef indicia printed on the staff indicia and oriented so as to reside on a left lateral side of a center line directed vertically through the informational sticker. | 3. The piano key identification system of claim 2, wherein the indicia of each of the informational stickers further includes clef indicia printed on the staff indicia and oriented so as to reside on a left lateral side of a center line directed vertically through the informational sticker. 4. The piano key identification system of claim 3, wherein the indicia of each of the informational stickers further includes musical note indicia printed relative to the staff indicia for indicating a particular note of a key of a keyboard. | 0.5 |
8,645,825 | 38 | 39 | 38. The computer storage medium of claim 31 , wherein the operations further comprise: receiving the additional autocomplete suggestions over the network after the predetermined period has elapsed; and updating a display to indicate the received additional autocomplete suggestions. | 38. The computer storage medium of claim 31 , wherein the operations further comprise: receiving the additional autocomplete suggestions over the network after the predetermined period has elapsed; and updating a display to indicate the received additional autocomplete suggestions. 39. The computer storage medium of claim 38 , wherein updating the display to indicate the received additional autocomplete suggestions comprises: determining that a second presentation event has occurred, the second presentation event corresponding to the end of a predetermined time period after presenting the cached autocomplete suggestions; and updating the display to indicate the received additional autocomplete suggestions in response to determining that the second presentation event has occurred. | 0.5 |
8,464,216 | 12 | 13 | 12. A system for providing assistance to a user who is editing an extensible markup language (XML) document, comprising: a computing device running an editor for editing an XML document; and a display device coupled to the computing device that displays the editor and the XML document, wherein the editor running on the computing device causes the computing device to: present to the user the XML document for editing via the display device; monitor a user input for an edit event; in response to detecting an edit event, inferring a markup language grammar from current content of the XML document; and provide assistance to the user based on the inferred markup language grammar, wherein the markup language grammar comprises XML syntax rules inferred from the current content of the XML document. | 12. A system for providing assistance to a user who is editing an extensible markup language (XML) document, comprising: a computing device running an editor for editing an XML document; and a display device coupled to the computing device that displays the editor and the XML document, wherein the editor running on the computing device causes the computing device to: present to the user the XML document for editing via the display device; monitor a user input for an edit event; in response to detecting an edit event, inferring a markup language grammar from current content of the XML document; and provide assistance to the user based on the inferred markup language grammar, wherein the markup language grammar comprises XML syntax rules inferred from the current content of the XML document. 13. The system of claim 12 , wherein the markup language grammar comprises at least one of definition rules for creating new types of markup language document elements and attributes, and declaration rules for enabling elements and attributes with specific names and types to appear in the markup language document. | 0.759909 |
8,359,533 | 12 | 14 | 12. A computer system, comprising: memory; one or more processors; one or more programs stored in the memory and configured for execution by the one or more processors, the one or more programs including: instructions for receiving a find-and-replace request to replace a first text string with a second text string in a first document and a second document, respectively, wherein the first document and the second document are identified in response to a search request for the first text string within a set of documents and the search request includes multiple search keywords and the first document has a first document type and the second document has a second document type that is different from the first document type, wherein the find-and-replace request limits the replacement of the first text string with the second text string to a respective user-specified portion of the first document and the second document such that an instance of the first text string located outside the user-specified portion of the first document but within the first document remains unchanged and an instance of the first text string located outside the user-specified portion of the second document but within the second document remains unchanged; instructions for displaying a first chunk from the first document and a second chunk from the second document, each chunk including at least one instance of the first text string and satisfying a predefined minimum matching level and having a chunk length within a predefined range, wherein the instances of the first text string within the first and second chunks are displayed in a text-only display format; instructions for substituting the second text string for the first text string in the first document and the second document, respectively; and instructions for replacing the displayed instances of the first text string within the first and second chunks with respective instances of the second text string, wherein the instances of the replacing second text string within the first and second chunks are displayed in the text-only display format. | 12. A computer system, comprising: memory; one or more processors; one or more programs stored in the memory and configured for execution by the one or more processors, the one or more programs including: instructions for receiving a find-and-replace request to replace a first text string with a second text string in a first document and a second document, respectively, wherein the first document and the second document are identified in response to a search request for the first text string within a set of documents and the search request includes multiple search keywords and the first document has a first document type and the second document has a second document type that is different from the first document type, wherein the find-and-replace request limits the replacement of the first text string with the second text string to a respective user-specified portion of the first document and the second document such that an instance of the first text string located outside the user-specified portion of the first document but within the first document remains unchanged and an instance of the first text string located outside the user-specified portion of the second document but within the second document remains unchanged; instructions for displaying a first chunk from the first document and a second chunk from the second document, each chunk including at least one instance of the first text string and satisfying a predefined minimum matching level and having a chunk length within a predefined range, wherein the instances of the first text string within the first and second chunks are displayed in a text-only display format; instructions for substituting the second text string for the first text string in the first document and the second document, respectively; and instructions for replacing the displayed instances of the first text string within the first and second chunks with respective instances of the second text string, wherein the instances of the replacing second text string within the first and second chunks are displayed in the text-only display format. 14. The computer system of claim 12 , wherein the first text string in the first document has a first appearance when the first document is rendered by its native application and the first text string in the second document has a second appearance that is different from the first appearance when the second document is rendered by its native application. | 0.5 |
9,014,982 | 8 | 10 | 8. The method of claim 7 , wherein the computation of the derived measure uses entropy as the base measure. | 8. The method of claim 7 , wherein the computation of the derived measure uses entropy as the base measure. 10. The method of claim 8 , wherein entropy is estimated using a non-parametric density estimation method. | 0.892276 |
9,817,620 | 12 | 17 | 12. A method for rendering a page description language (PDL) document, the method comprising: receiving identifying metadata for a first occurrence of a sequence of reusable objects identified in a first display list, a reusable intermediate graphical representation for the sequence of reusable objects being cached for further reuse in a format intermediate between a display list and pixel data; identifying a second occurrence of the sequence of reusable objects in the PDL document using the received identifying metadata, the identified second occurrence being associated with a z-order position in the PDL document of the second occurrence; grouping objects of the PDL document into a plurality of z-bands, the plurality of z-bands including a reusable z-band for the identified second occurrence and a further z-band based on the z-order position of the second occurrence; generating a display list representation for the PDL document, by creating a reference to the cached reusable intermediate graphical representation for the reusable z-band at the z-order position of the identified second occurrence; and generating an intermediate graphical representation to render the PDL document, the intermediate graphical representation being generated by merging the reusable intermediate graphical representation with an intermediate representation for the further z-band using the generated display list representation. | 12. A method for rendering a page description language (PDL) document, the method comprising: receiving identifying metadata for a first occurrence of a sequence of reusable objects identified in a first display list, a reusable intermediate graphical representation for the sequence of reusable objects being cached for further reuse in a format intermediate between a display list and pixel data; identifying a second occurrence of the sequence of reusable objects in the PDL document using the received identifying metadata, the identified second occurrence being associated with a z-order position in the PDL document of the second occurrence; grouping objects of the PDL document into a plurality of z-bands, the plurality of z-bands including a reusable z-band for the identified second occurrence and a further z-band based on the z-order position of the second occurrence; generating a display list representation for the PDL document, by creating a reference to the cached reusable intermediate graphical representation for the reusable z-band at the z-order position of the identified second occurrence; and generating an intermediate graphical representation to render the PDL document, the intermediate graphical representation being generated by merging the reusable intermediate graphical representation with an intermediate representation for the further z-band using the generated display list representation. 17. The method according to claim 12 , wherein the identification of the second occurrence of the sequence of reusable objects is enabled if the PDL document contains a pre-determined number pages. | 0.612205 |
9,336,437 | 1 | 5 | 1. A method of segregating handwritten information from typographic information on a document, the method comprising: receiving an electronic document image of a document, the electronic document image comprising a plurality of pixels, wherein each of the plurality of pixels comprises one of a plurality of characteristics; identifying a first, a second, and a third most frequently occurring characteristic of the plurality of pixels, wherein the pixels of the plurality of pixels comprising the first most frequently occurring characteristic of the plurality of characteristics or the second most frequently occurring characteristic of the plurality of characteristics represent typographic information; determining a background of the document, wherein the background is represented by the pixels of the plurality of pixels of the electronic document image which comprise the first most frequently occurring characteristic of the plurality of characteristics or the second most frequently occurring characteristic of the plurality of characteristics; determining, by a computer processor, handwritten information of the document, wherein the handwritten information is represented by the pixels of the plurality of pixels of the electronic document image which comprise the third most frequently occurring characteristic of the plurality of characteristics; and deriving a first representation of the handwritten information and a second representation of the typographic information. | 1. A method of segregating handwritten information from typographic information on a document, the method comprising: receiving an electronic document image of a document, the electronic document image comprising a plurality of pixels, wherein each of the plurality of pixels comprises one of a plurality of characteristics; identifying a first, a second, and a third most frequently occurring characteristic of the plurality of pixels, wherein the pixels of the plurality of pixels comprising the first most frequently occurring characteristic of the plurality of characteristics or the second most frequently occurring characteristic of the plurality of characteristics represent typographic information; determining a background of the document, wherein the background is represented by the pixels of the plurality of pixels of the electronic document image which comprise the first most frequently occurring characteristic of the plurality of characteristics or the second most frequently occurring characteristic of the plurality of characteristics; determining, by a computer processor, handwritten information of the document, wherein the handwritten information is represented by the pixels of the plurality of pixels of the electronic document image which comprise the third most frequently occurring characteristic of the plurality of characteristics; and deriving a first representation of the handwritten information and a second representation of the typographic information. 5. The method of claim 1 further comprising: determining a plurality of characters corresponding to the handwritten information; determining a document type corresponding to the typographic information; and providing the plurality of characters and an indication of the document type. | 0.5 |
8,566,044 | 1 | 4 | 1. A method, comprising: at an electronic device with a touch-sensitive display, the electronic device configured to execute at least a first software application and a second software application, the first software application including a first set of one or more gesture recognizers, the second software application including one or more views and a second set of one or more gesture recognizers, and respective gesture recognizers having corresponding gesture handlers: displaying at least a subset of the one or more views of the second software application; and while displaying at least the subset of the one or more views of the second software application: detecting a sequence of touch inputs on the touch-sensitive display, the sequence of touch inputs including a first portion of one or more touch inputs and a second portion of one or more touch inputs subsequent to the first portion; and during a first phase of detecting the sequence of touch inputs: delivering the first portion of one or more touch inputs to the first software application and the second software application; identifying from gesture recognizers in the first set, one or more matching gesture recognizers that recognize the first portion of one or more touch inputs; and processing the first portion of one or more touch inputs with one or more gesture handlers corresponding to the one or more matching gesture recognizers. | 1. A method, comprising: at an electronic device with a touch-sensitive display, the electronic device configured to execute at least a first software application and a second software application, the first software application including a first set of one or more gesture recognizers, the second software application including one or more views and a second set of one or more gesture recognizers, and respective gesture recognizers having corresponding gesture handlers: displaying at least a subset of the one or more views of the second software application; and while displaying at least the subset of the one or more views of the second software application: detecting a sequence of touch inputs on the touch-sensitive display, the sequence of touch inputs including a first portion of one or more touch inputs and a second portion of one or more touch inputs subsequent to the first portion; and during a first phase of detecting the sequence of touch inputs: delivering the first portion of one or more touch inputs to the first software application and the second software application; identifying from gesture recognizers in the first set, one or more matching gesture recognizers that recognize the first portion of one or more touch inputs; and processing the first portion of one or more touch inputs with one or more gesture handlers corresponding to the one or more matching gesture recognizers. 4. The method of claim 1 , wherein the displaying includes displaying at least a subset of the one or more views of the second software application without displaying a view of any other application. | 0.834167 |
7,774,294 | 1 | 22 | 1. A computer-implemented user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on learning periodicities of user selections of content items, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving incremental input entered by the user for incrementally identifying desired content items; in response to the incremental input entered by the user, presenting a subset of content items to the user; receiving actions from the user resulting in the selection of content items from the subset; analyzing the descriptive terms associated with the selected content items to identify sets of actions resulting in the selection of similar content items, wherein similarity is determined by comparing the descriptive terms associated with any one of the selected content items with any of the previously selected content items; analyzing the date, day, and time of at least two of the individual selection actions of the sets of actions to learn periodicities of user actions resulting in the selections of similar content items, wherein the periodicity corresponding to a particular set of actions for selecting similar content items indicates the amount of time between the user actions of the set; associating the learned periodicities of the sets of actions resulting in the selection of similar content items with the corresponding descriptive terms associated with the similar content items that were selected; and in response to receiving subsequent incremental input entered by the user, selecting and ordering a collection of content items wherein content items associated with descriptive terms similar to the subsequent incremental input and associated with descriptive terms further associated with periodicities similar to the date, day, and time of the subsequent incremental input are presented on a display device as more relevant content. | 1. A computer-implemented user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on learning periodicities of user selections of content items, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving incremental input entered by the user for incrementally identifying desired content items; in response to the incremental input entered by the user, presenting a subset of content items to the user; receiving actions from the user resulting in the selection of content items from the subset; analyzing the descriptive terms associated with the selected content items to identify sets of actions resulting in the selection of similar content items, wherein similarity is determined by comparing the descriptive terms associated with any one of the selected content items with any of the previously selected content items; analyzing the date, day, and time of at least two of the individual selection actions of the sets of actions to learn periodicities of user actions resulting in the selections of similar content items, wherein the periodicity corresponding to a particular set of actions for selecting similar content items indicates the amount of time between the user actions of the set; associating the learned periodicities of the sets of actions resulting in the selection of similar content items with the corresponding descriptive terms associated with the similar content items that were selected; and in response to receiving subsequent incremental input entered by the user, selecting and ordering a collection of content items wherein content items associated with descriptive terms similar to the subsequent incremental input and associated with descriptive terms further associated with periodicities similar to the date, day, and time of the subsequent incremental input are presented on a display device as more relevant content. 22. The method of claim 1 , further comprising learning more than one periodicity of user selections of a set of similar content items, wherein each periodicity is associated with a descriptive term that differs from the descriptive terms of the other periodicities, wherein selecting and ordering the collection of content items is based on a comparison of the more than one periodicity of user selections to the date, day, and time of the subsequent incremental input. | 0.68414 |
9,971,841 | 15 | 18 | 15. An apparatus, comprising: a hardware processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to: develop source content using a source content taxonomy, using a content authoring service, and using a content architecture standard; store the source content in source content storage; assign one or more unique identifiers to the source content based on the source content taxonomy; generate Web content, wherein the Web content contains tags having references to the source content; insert the one or more unique identifiers into corresponding hyperlinks in the Web content; store the Web content in Web content storage; responsive to users selecting a given hyperlink in the Web content in the Web content storage from a Web server, generate Web usage data recording selection of the given hyperlink, wherein the given tag contains a reference to given item of content in the source content, wherein the reference to the given item of content comprises a uniform resource locator, and wherein inserting the one or more unique identifiers comprises inserting the given unique identifier into the uniform resource locator referencing the given item of content; and generate a Web metrics report based on the Web usage data in the Web metrics taxonomy, wherein the Web metrics report maps the viewing of the page of Web content to the source content taxonomy based on the given unique identifier. | 15. An apparatus, comprising: a hardware processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to: develop source content using a source content taxonomy, using a content authoring service, and using a content architecture standard; store the source content in source content storage; assign one or more unique identifiers to the source content based on the source content taxonomy; generate Web content, wherein the Web content contains tags having references to the source content; insert the one or more unique identifiers into corresponding hyperlinks in the Web content; store the Web content in Web content storage; responsive to users selecting a given hyperlink in the Web content in the Web content storage from a Web server, generate Web usage data recording selection of the given hyperlink, wherein the given tag contains a reference to given item of content in the source content, wherein the reference to the given item of content comprises a uniform resource locator, and wherein inserting the one or more unique identifiers comprises inserting the given unique identifier into the uniform resource locator referencing the given item of content; and generate a Web metrics report based on the Web usage data in the Web metrics taxonomy, wherein the Web metrics report maps the viewing of the page of Web content to the source content taxonomy based on the given unique identifier. 18. The apparatus of claim 15 , wherein the given tag uses the given unique identifier as a parameter to a script function. | 0.813636 |
8,645,131 | 2 | 3 | 2. A computer-implemented speech detection method for detecting desired speech segments in an audio stream, the method comprising: a) generating a plurality of features from an audio stream; b) obtaining a plurality of time-alignments based on the features; c) processing the plurality of time-alignments; d) determining a desired speech segment based on the plurality of time-alignments; e) determining whether there is at least one non-desired speech segment; and f) outputting an output stream that includes the desired speech segment and omits the at least one non-desired speech segment, wherein generating the plurality of features comprises performing signal processing on the audio stream and analyzing overlapping or non-overlapping windows of the audio stream to gather at least one metric on the plurality of features, wherein the at least one metric comprises a number of times the feature is greater than a standard deviation determined for the feature. | 2. A computer-implemented speech detection method for detecting desired speech segments in an audio stream, the method comprising: a) generating a plurality of features from an audio stream; b) obtaining a plurality of time-alignments based on the features; c) processing the plurality of time-alignments; d) determining a desired speech segment based on the plurality of time-alignments; e) determining whether there is at least one non-desired speech segment; and f) outputting an output stream that includes the desired speech segment and omits the at least one non-desired speech segment, wherein generating the plurality of features comprises performing signal processing on the audio stream and analyzing overlapping or non-overlapping windows of the audio stream to gather at least one metric on the plurality of features, wherein the at least one metric comprises a number of times the feature is greater than a standard deviation determined for the feature. 3. The computer-implemented speech detection method of claim 2 , wherein the at least one metric comprises the number of times the feature is greater than a median determined for the feature. | 0.5 |
8,661,336 | 8 | 12 | 8. A computer-readable storage device storing instructions that, when executed by one or more processing devices, perform operations comprising: using, by a computing system, a particular object schema to generate multiple objects, wherein the particular object schema identifies constraints on a structure and content of the multiple objects, and wherein the multiple objects include a first object; storing, by the computing system, multiple configuration templates that each identify a mapping of multiple attributes defined by a respective object schema to multiple attributes or elements defined by a respective markup language document schema; displaying, by the computing system, a graphical user interface that permits a user of the computing system to select a first configuration template from a displayed set of the multiple configuration templates, wherein the first configuration template identifies a mapping of multiple attributes defined by the particular object schema to multiple attributes or elements defined by a particular markup language document schema; receiving, by the computing system, first user input that selects the first configuration template; displaying, by the computing system and concurrently in the graphical user interface: (i) a list of names of at least some attributes of the multiple attributes defined by the particular object schema, and (ii) for each of the at least some attributes, a name of the associated markup language attribute or element that is identified by the first configuration template, so as to visually indicate in the graphical user interface the mapping between each of the at least some attributes and its associated markup language attribute or element; receiving, by the computing system, second user input that interacts with the displayed graphical user interface to change either: (i) a name for a particular one of the at least some attributes, or (ii) a name for a particular one of the associated markup language attributes or elements, so as to change a mapping that is identified by the first configuration template for the particular one of the at least some attributes or the particular one of the associated markup language attributes or elements; generating, by the computing system and in response to receiving the second user input, an updated configuration template that identifies a mapping of the particular object schema to the particular markup language document schema, the updated configuration template including the changed mapping for the particular one of the at least some attributes or the particular one of the associated markup language attributes or elements, the updated configuration template configured to enable the computing system to export content associated with an object generated using the particular object schema to a document for which the particular markup language schema identifies constraints on structure and content; receiving, by the computing system, third user input that requests generation of a first markup language document representation of the first object; and generating, by the computing system and in response to receiving the third user input, the first markup language document using the updated configuration template. | 8. A computer-readable storage device storing instructions that, when executed by one or more processing devices, perform operations comprising: using, by a computing system, a particular object schema to generate multiple objects, wherein the particular object schema identifies constraints on a structure and content of the multiple objects, and wherein the multiple objects include a first object; storing, by the computing system, multiple configuration templates that each identify a mapping of multiple attributes defined by a respective object schema to multiple attributes or elements defined by a respective markup language document schema; displaying, by the computing system, a graphical user interface that permits a user of the computing system to select a first configuration template from a displayed set of the multiple configuration templates, wherein the first configuration template identifies a mapping of multiple attributes defined by the particular object schema to multiple attributes or elements defined by a particular markup language document schema; receiving, by the computing system, first user input that selects the first configuration template; displaying, by the computing system and concurrently in the graphical user interface: (i) a list of names of at least some attributes of the multiple attributes defined by the particular object schema, and (ii) for each of the at least some attributes, a name of the associated markup language attribute or element that is identified by the first configuration template, so as to visually indicate in the graphical user interface the mapping between each of the at least some attributes and its associated markup language attribute or element; receiving, by the computing system, second user input that interacts with the displayed graphical user interface to change either: (i) a name for a particular one of the at least some attributes, or (ii) a name for a particular one of the associated markup language attributes or elements, so as to change a mapping that is identified by the first configuration template for the particular one of the at least some attributes or the particular one of the associated markup language attributes or elements; generating, by the computing system and in response to receiving the second user input, an updated configuration template that identifies a mapping of the particular object schema to the particular markup language document schema, the updated configuration template including the changed mapping for the particular one of the at least some attributes or the particular one of the associated markup language attributes or elements, the updated configuration template configured to enable the computing system to export content associated with an object generated using the particular object schema to a document for which the particular markup language schema identifies constraints on structure and content; receiving, by the computing system, third user input that requests generation of a first markup language document representation of the first object; and generating, by the computing system and in response to receiving the third user input, the first markup language document using the updated configuration template. 12. The computer-readable storage device of claim 8 , wherein the graphical user interface permits the user to specify, for an association between a particular attribute of the particular object schema and an associated particular markup language attribute or element, a value mapping of a first data value for the particular attribute to a second data value for the particular markup language attribute or element, the first data value and the second value being different, the particular attribute specifying semantics of the first value and the particular markup language attribute or element specifying semantics of the second data value. | 0.686829 |
7,818,682 | 13 | 15 | 13. A system including a processor and memory for designing and modeling applications comprising: an integrated development environment, the integrated development environment including a first user interface for managing an application model and a second user interface for drafting a graphical model, wherein the application model corresponds to an application being developed, the application model comprising a plurality of development objects used in the application and relationships between the development objects, wherein the graphical model comprises a plurality of graphical objects that represent, graphically, the development objects in the application model and the relationships between the development objects, and wherein the first and second user interfaces display a design-time view of the application model corresponding to the application and the graphical model corresponding to the application model, the integrated development environment performing the steps of: generating, independent of the application model and in response to input from the user, one or more first graphical objects; selecting, in response to input from the user, a first development object from the plurality of development objects to be associated with a first graphical object of the one or more first graphical objects; and associating the first development object with the first graphical object. | 13. A system including a processor and memory for designing and modeling applications comprising: an integrated development environment, the integrated development environment including a first user interface for managing an application model and a second user interface for drafting a graphical model, wherein the application model corresponds to an application being developed, the application model comprising a plurality of development objects used in the application and relationships between the development objects, wherein the graphical model comprises a plurality of graphical objects that represent, graphically, the development objects in the application model and the relationships between the development objects, and wherein the first and second user interfaces display a design-time view of the application model corresponding to the application and the graphical model corresponding to the application model, the integrated development environment performing the steps of: generating, independent of the application model and in response to input from the user, one or more first graphical objects; selecting, in response to input from the user, a first development object from the plurality of development objects to be associated with a first graphical object of the one or more first graphical objects; and associating the first development object with the first graphical object. 15. The system of claim 13 , wherein the second user interface comprises a modeling editor for editing the graphical model. | 0.75 |
8,751,218 | 14 | 19 | 14. A semantic tagging method that outputs semantically linked tags for text content comprising: inputting the text content to a computer; by the computer, extracting nouns and noun phrases from the text content; by the computer, mapping the extracted nouns and noun phrases to terms of an ontology; by the computer, mapping the extracted nouns and noun phrases to a correct sense of the ontology terms using lexical chaining Word Sense Disambiguation (WSD) algorithms; by the computer, weighting the extracted nouns' and noun phrases' concepts from their ontological and statistical features; by the computer, extracting key-phrases from the weighted concepts; and by the computer, outputting the key-phrases as semantic tags; wherein mapping the extracted nouns and noun phrases to a correct sense of the ontology terms further comprises: creating a hypernym lexical chain with WSD scores for senses of the input nouns and noun phrases; creating a domain lexical chain with WSD scores for senses of the input nouns and noun phrases; creating a holonym lexical chain with WSD scores for senses of the input nouns and noun phrases; creating a category lexical chain with WSD scores for senses of the input nouns and noun phrases; normalizing the WSD scores in each of the hypernym, domain, category and holonym lexical chains; generating a WSD score using a sense rank algorithm; assigning weights to each WSD score and summing the weighted WSD scores for the hypernym, domain, category, holonym lexical chains, and the sense rank algorithm; evaluating the hypernym, domain, category and holonym lexical chains, the sense rank algorithm and optimizing their weights for a given target data; and mapping the nouns and noun phrases to a highest ranked sense. | 14. A semantic tagging method that outputs semantically linked tags for text content comprising: inputting the text content to a computer; by the computer, extracting nouns and noun phrases from the text content; by the computer, mapping the extracted nouns and noun phrases to terms of an ontology; by the computer, mapping the extracted nouns and noun phrases to a correct sense of the ontology terms using lexical chaining Word Sense Disambiguation (WSD) algorithms; by the computer, weighting the extracted nouns' and noun phrases' concepts from their ontological and statistical features; by the computer, extracting key-phrases from the weighted concepts; and by the computer, outputting the key-phrases as semantic tags; wherein mapping the extracted nouns and noun phrases to a correct sense of the ontology terms further comprises: creating a hypernym lexical chain with WSD scores for senses of the input nouns and noun phrases; creating a domain lexical chain with WSD scores for senses of the input nouns and noun phrases; creating a holonym lexical chain with WSD scores for senses of the input nouns and noun phrases; creating a category lexical chain with WSD scores for senses of the input nouns and noun phrases; normalizing the WSD scores in each of the hypernym, domain, category and holonym lexical chains; generating a WSD score using a sense rank algorithm; assigning weights to each WSD score and summing the weighted WSD scores for the hypernym, domain, category, holonym lexical chains, and the sense rank algorithm; evaluating the hypernym, domain, category and holonym lexical chains, the sense rank algorithm and optimizing their weights for a given target data; and mapping the nouns and noun phrases to a highest ranked sense. 19. The method according to claim 14 wherein creating a domain lexical chain further comprises: connecting senses defined in a same domain via a domain concept node to form a domain lexical chain; scoring each sense according to the number of concepts within the domain lexical chain; if a sense itself is a domain concept, its WSD score is equal to the number of concepts within its lexical chain; and mapping a noun or noun phrase to a sense that receives the highest WSD score among all senses of the noun or noun phrase. | 0.731006 |
7,620,942 | 9 | 10 | 9. A system for parameterizing imperative-language functions, comprising: a processor; means for representing at least one among a component input port and a component parameter using formal imperative function arguments; and means for distinguishing between formal imperative function arguments intended as component parameters from formal imperative function arguments intended as component input ports using the processor within an instantiating framework. | 9. A system for parameterizing imperative-language functions, comprising: a processor; means for representing at least one among a component input port and a component parameter using formal imperative function arguments; and means for distinguishing between formal imperative function arguments intended as component parameters from formal imperative function arguments intended as component input ports using the processor within an instantiating framework. 10. The system of claim 9 , wherein the system further comprises a hardware description generator providing a framework where imperative language functions can be translated into hardware components by being instantiated, combined and simulated. | 0.5 |
9,361,503 | 14 | 24 | 14. An image processor system, comprising: at least one processor; at least one nontransitory processor-readable storage medium operatively coupled to the at least one processor and storing at least one of data or instructions which, when executed by the at least one processor, cause the at least one processor to: receive a plurality of training images, each of the plurality of training images corresponds to one of a plurality of machine-readable symbols; generate a distortion model for the training images; generate a plurality of distorted image signals based at least in part on the distortion model and the training images, each of the plurality of distorted image signals corresponds to one of the machine-readable symbols; transform the plurality of distorted image signals from a signal space into a first transform space; extract classification features from the transformed distorted image signals in the first transform space; train a first machine-readable symbol classifier based at least in part on the extracted classification features; determine a quality measure for the first machine-readable symbol classifier; transform the plurality of distorted image signals from a signal space into a second transform space; extract classification features from the distorted image signals in the second transform space; train a second machine-readable symbol classifier based at least in part on the extracted classification features; determine a quality measure for the second machine-readable symbol classifier; and select one of the first machine-readable symbol classifier or the second machine-readable symbol classifier based at least in part on the determined quality measure. | 14. An image processor system, comprising: at least one processor; at least one nontransitory processor-readable storage medium operatively coupled to the at least one processor and storing at least one of data or instructions which, when executed by the at least one processor, cause the at least one processor to: receive a plurality of training images, each of the plurality of training images corresponds to one of a plurality of machine-readable symbols; generate a distortion model for the training images; generate a plurality of distorted image signals based at least in part on the distortion model and the training images, each of the plurality of distorted image signals corresponds to one of the machine-readable symbols; transform the plurality of distorted image signals from a signal space into a first transform space; extract classification features from the transformed distorted image signals in the first transform space; train a first machine-readable symbol classifier based at least in part on the extracted classification features; determine a quality measure for the first machine-readable symbol classifier; transform the plurality of distorted image signals from a signal space into a second transform space; extract classification features from the distorted image signals in the second transform space; train a second machine-readable symbol classifier based at least in part on the extracted classification features; determine a quality measure for the second machine-readable symbol classifier; and select one of the first machine-readable symbol classifier or the second machine-readable symbol classifier based at least in part on the determined quality measure. 24. The image processor system of claim 14 wherein the at least one processor: trains at least one of a random decision forest classifier or a Mahalanobis classifier. | 0.837891 |
9,105,268 | 4 | 5 | 4. The method of claim 2 , further comprising: said IVR system picking up at least one sample of customer speech responses; and said IVR system transcribing said responses into text; wherein said IVR system passes said speech responses through a batch automatic speech recognition (ASR) system, which transcribes said responses using at least one predicted label, and where at least one important feature is selected from said transcribed responses. | 4. The method of claim 2 , further comprising: said IVR system picking up at least one sample of customer speech responses; and said IVR system transcribing said responses into text; wherein said IVR system passes said speech responses through a batch automatic speech recognition (ASR) system, which transcribes said responses using at least one predicted label, and where at least one important feature is selected from said transcribed responses. 5. The method of claim 4 , wherein said at least one important feature is selected from said transcribed responses using statistical techniques. | 0.5 |
7,721,271 | 1 | 3 | 1. A process for operating a computer system comprising an application program executing on an operating system, the operating system maintaining a core translation table, the process being for modifying information from a source language to a target language and comprising the steps of: with the application program, performing an interaction with the operating system during which source data in a source language is exchanged with one of a system resource loader or a Graphic Data Interface; within the operating system, intercepting the source data during the interaction; determining if a match exists between the intercepted source data and data in the source language in a translation table of a plurality of translation tables; when a match exists, selecting target data in a target language from a translation table of the plurality of translation tables having matching data, the plurality of translation tables having an hierarchy and the selecting comprising selecting the target data from the table with matching data highest in the hierarchy, and the plurality of translation tables comprising an application translation table provided in conjunction with the application and a core translation table provided in conjunction with the operating system, with the application translation table being higher in the hierarchy than the core translation table, whereby the core translation table is bypassed when the source data matches data in the application translation table; completing the interaction with the operating system using the target data replacing the source data when a match is found based on said determining step, and when no match is found based on said determining step, completing the interaction with the operating system without substituting data from a translation table of the plurality of translation tables for the source data; and displaying the information upon a display device based on the completed interaction. | 1. A process for operating a computer system comprising an application program executing on an operating system, the operating system maintaining a core translation table, the process being for modifying information from a source language to a target language and comprising the steps of: with the application program, performing an interaction with the operating system during which source data in a source language is exchanged with one of a system resource loader or a Graphic Data Interface; within the operating system, intercepting the source data during the interaction; determining if a match exists between the intercepted source data and data in the source language in a translation table of a plurality of translation tables; when a match exists, selecting target data in a target language from a translation table of the plurality of translation tables having matching data, the plurality of translation tables having an hierarchy and the selecting comprising selecting the target data from the table with matching data highest in the hierarchy, and the plurality of translation tables comprising an application translation table provided in conjunction with the application and a core translation table provided in conjunction with the operating system, with the application translation table being higher in the hierarchy than the core translation table, whereby the core translation table is bypassed when the source data matches data in the application translation table; completing the interaction with the operating system using the target data replacing the source data when a match is found based on said determining step, and when no match is found based on said determining step, completing the interaction with the operating system without substituting data from a translation table of the plurality of translation tables for the source data; and displaying the information upon a display device based on the completed interaction. 3. The process according to claim 1 , further comprising the step of: simplifying and normalizing said intercepted data. | 0.853659 |
9,081,871 | 11 | 12 | 11. A non-transitory computer-readable medium having instructions stored thereon, which, when executed by a processor, cause the processor to perform operations comprising: identifying a set of tags based on detected user activity within a user interface, the user activity including the user accessing files associated with tags in the set of tags and/or the user creating new tags in the set of tags; displaying a user interface within a browser content area, the user interface comprising a text search field and drop-down menu adjacent to the text search field and having a plurality of selectable entries; initially populating the plurality of selectable entries within the drop down menu with the set of tags; receiving a first input; in response to receiving the first input: in accordance with a determination that the first input indicates that the user has selected one or more of the tags, performing a search that comprises searching for files associated with the selected tags; and in accordance with a determination that the first input includes text entered in the text search field, replacing the tags within the same drop down menu with a listing of files associated with the text entered by the user, wherein replacing the tags within the same drop down menu with the listing of files associated with the text entered by the user comprises identifying files having titles corresponding to the entered text and replacing the tags within the same drop down menu with the titles of the files; after replacing the tags within the same drop down menu with the listing of files associated with the text entered by the user, receiving a second input indicating that the user has selected one of the listing of files from the drop-down menu; in response to receiving the second input, performing a search that comprises searching for the selected one or more files; and presenting results of the search on the user interface. | 11. A non-transitory computer-readable medium having instructions stored thereon, which, when executed by a processor, cause the processor to perform operations comprising: identifying a set of tags based on detected user activity within a user interface, the user activity including the user accessing files associated with tags in the set of tags and/or the user creating new tags in the set of tags; displaying a user interface within a browser content area, the user interface comprising a text search field and drop-down menu adjacent to the text search field and having a plurality of selectable entries; initially populating the plurality of selectable entries within the drop down menu with the set of tags; receiving a first input; in response to receiving the first input: in accordance with a determination that the first input indicates that the user has selected one or more of the tags, performing a search that comprises searching for files associated with the selected tags; and in accordance with a determination that the first input includes text entered in the text search field, replacing the tags within the same drop down menu with a listing of files associated with the text entered by the user, wherein replacing the tags within the same drop down menu with the listing of files associated with the text entered by the user comprises identifying files having titles corresponding to the entered text and replacing the tags within the same drop down menu with the titles of the files; after replacing the tags within the same drop down menu with the listing of files associated with the text entered by the user, receiving a second input indicating that the user has selected one of the listing of files from the drop-down menu; in response to receiving the second input, performing a search that comprises searching for the selected one or more files; and presenting results of the search on the user interface. 12. The non-transitory computer-readable medium of claim 11 , including instructions stored thereon, which, when executed by the processor, cause the processor to perform operations comprising: providing a link in the user interface for each of the results, each link pointing to a file identified by the search. | 0.629454 |
7,639,257 | 17 | 25 | 17. A computer-implemented method for constructing a text document, the method comprising: performing operations by a programmable processor of a first computer, comprising: receiving user input at the first computer selecting a character for insertion into a text document; identifying in a memory of the first computer a glyphlet representing the selected character, the glyphlet being a data structure including both a set of one or more character attributes defining semantic information of the selected character and a set of one or more glyph attributes defining appearance information for a glyph representative of the selected character, the glyph attributes including all the information necessary to render a glyph image of the glyph; inserting the character into the text document by inserting a reference to the identified glyphlet into the text document, where the reference can be used to access the sets of character and glyph attributes from the glyphlet for the character selected by the user input; and displaying the character in the text document, the displayed character being rendered from the glyph attributes. | 17. A computer-implemented method for constructing a text document, the method comprising: performing operations by a programmable processor of a first computer, comprising: receiving user input at the first computer selecting a character for insertion into a text document; identifying in a memory of the first computer a glyphlet representing the selected character, the glyphlet being a data structure including both a set of one or more character attributes defining semantic information of the selected character and a set of one or more glyph attributes defining appearance information for a glyph representative of the selected character, the glyph attributes including all the information necessary to render a glyph image of the glyph; inserting the character into the text document by inserting a reference to the identified glyphlet into the text document, where the reference can be used to access the sets of character and glyph attributes from the glyphlet for the character selected by the user input; and displaying the character in the text document, the displayed character being rendered from the glyph attributes. 25. The method of claim 17 , further comprising: embedding the identified glyphlet in the text document. | 0.664516 |
7,949,574 | 1 | 24 | 1. A system for an enterprise having multiple business units to communicate with a user over multiple channels, the system comprising: channel interfaces respectively coupled to the multiple channels; a knowledge management system coupled to the channel interfaces, the knowledge management system comprising: an offer database, the offer database storing potential offers to the user, the potential offers being supplied from the multiple business units within the enterprise; a user profile database, the user profile database storing a user profile with respect to the user; and a decision engine coupled to the offer database and the user profile database, the decision engine implementing computer processing components for making a decision as to which of the potential offers to present to the user and which of the multiple channels over which to make the presentation. | 1. A system for an enterprise having multiple business units to communicate with a user over multiple channels, the system comprising: channel interfaces respectively coupled to the multiple channels; a knowledge management system coupled to the channel interfaces, the knowledge management system comprising: an offer database, the offer database storing potential offers to the user, the potential offers being supplied from the multiple business units within the enterprise; a user profile database, the user profile database storing a user profile with respect to the user; and a decision engine coupled to the offer database and the user profile database, the decision engine implementing computer processing components for making a decision as to which of the potential offers to present to the user and which of the multiple channels over which to make the presentation. 24. The system of claim 1 , further comprising a personalization engine, wherein the personalization engine personalizes information presented to the user by at least one of click stream analysis from a user communication device, collaborative filtering based on past and/or present interaction, explicit information provided by one of the user and another input device, rules based on interaction with the user and explicit information and events including transactional and service related events. | 0.5 |
7,496,854 | 79 | 81 | 79. A computer system related to information handling within a document operated on by a first application program, the document containing first information that can be utilized in a second application program, comprising: means for identifying without user intervention or designation the first information; and means for responding to a user selection by performing an operation related to a second information, the second information associated with the first information from the second application program. | 79. A computer system related to information handling within a document operated on by a first application program, the document containing first information that can be utilized in a second application program, comprising: means for identifying without user intervention or designation the first information; and means for responding to a user selection by performing an operation related to a second information, the second information associated with the first information from the second application program. 81. The computer system of claim 79 , wherein the first information is a name, and the operation performed is selected from a group consisting of generating an electronic mail, a telex, a facsimile or a letter addressed to the name indicated by the first information. | 0.5 |
10,055,495 | 1 | 5 | 1. A method for searching information using a computer device associated with an information presentation area, the method comprising: displaying, on the information presentation area, a search window comprising at least one field for presenting search parameters including gaze search parameters and non gaze search parameters for a user, the gaze search parameters: representing a predefined set of specific mental conditions experienced by the user when the user viewed presented information during a certain period of time prior to displaying the search window; and being based on at least one of a duration of blinks and a pupil size of the user measured during the certain period of time when the user viewed the presented information; displaying the gaze search parameters as selectable posts in the search window, the set of selectable posts comprising a set of labels corresponding to the predefined set of specific mental conditions; and executing a query search on the computer device or on information hosts connectable to the computer device via networks, by using a selected combination of at least one of the gaze search parameters and at least one of the non gaze search parameters. | 1. A method for searching information using a computer device associated with an information presentation area, the method comprising: displaying, on the information presentation area, a search window comprising at least one field for presenting search parameters including gaze search parameters and non gaze search parameters for a user, the gaze search parameters: representing a predefined set of specific mental conditions experienced by the user when the user viewed presented information during a certain period of time prior to displaying the search window; and being based on at least one of a duration of blinks and a pupil size of the user measured during the certain period of time when the user viewed the presented information; displaying the gaze search parameters as selectable posts in the search window, the set of selectable posts comprising a set of labels corresponding to the predefined set of specific mental conditions; and executing a query search on the computer device or on information hosts connectable to the computer device via networks, by using a selected combination of at least one of the gaze search parameters and at least one of the non gaze search parameters. 5. The method for searching information using a computer device according to claim 1 , further comprising: displaying a search result presentation window on the information presentation area presenting a search result from the query search. | 0.845956 |
7,484,204 | 1 | 5 | 1. A computer-implemented system to provide an extensible type repository environment, comprising: one or more microprocessors; a plurality of type repositories, wherein each type repository maintains a hierarchical data structure that contains definitions of one or more types in a type system, wherein a first of the plurality of type repositories defines a first type in a first type system and a second of the plurality of type repositories defines a second type in a second type system; and a plurality of type repository interfaces, wherein each type repository interface is associated with and provides access to a type repository in the plurality of type repositories and defines a set of services provided by the type repository,. wherein an object of the first type is created based on the second type system by creating the object of the first type so that it manipulates only instances of the second type. | 1. A computer-implemented system to provide an extensible type repository environment, comprising: one or more microprocessors; a plurality of type repositories, wherein each type repository maintains a hierarchical data structure that contains definitions of one or more types in a type system, wherein a first of the plurality of type repositories defines a first type in a first type system and a second of the plurality of type repositories defines a second type in a second type system; and a plurality of type repository interfaces, wherein each type repository interface is associated with and provides access to a type repository in the plurality of type repositories and defines a set of services provided by the type repository,. wherein an object of the first type is created based on the second type system by creating the object of the first type so that it manipulates only instances of the second type. 5. The system of claim 1 , wherein: the type system is a programming language. | 0.823529 |
8,447,586 | 1 | 5 | 1. A method of supporting verification of software internationalization, the method comprising: performing, by a processor, operations of: acquiring first text data output by an operating software in a first language environment; extracting, from the first text data, multiple character strings of a predetermined kind described in a language-dependent format; acquiring second text data output by the operating software in a second language environment; extracting, from the second text data, multiple character strings of the predetermined kind; associating each of the multiple character strings extracted from the first text data with each of the multiple character strings extracted from the second text data based on a difference between each character string extracted from the first text data and each character string extracted from the second text data; and comparing a first normalized character string, obtained by normalizing, in a specific description format, a first character string of the multiple character strings extracted from the first text data, with a second normalized character string, obtained by normalizing, in the specific description format, a second character string selected as being associated with the first character string from among the multiple character strings extracted from the second text data to determine whether a content represented by the first character string is consistent with a content represented by the second character string. | 1. A method of supporting verification of software internationalization, the method comprising: performing, by a processor, operations of: acquiring first text data output by an operating software in a first language environment; extracting, from the first text data, multiple character strings of a predetermined kind described in a language-dependent format; acquiring second text data output by the operating software in a second language environment; extracting, from the second text data, multiple character strings of the predetermined kind; associating each of the multiple character strings extracted from the first text data with each of the multiple character strings extracted from the second text data based on a difference between each character string extracted from the first text data and each character string extracted from the second text data; and comparing a first normalized character string, obtained by normalizing, in a specific description format, a first character string of the multiple character strings extracted from the first text data, with a second normalized character string, obtained by normalizing, in the specific description format, a second character string selected as being associated with the first character string from among the multiple character strings extracted from the second text data to determine whether a content represented by the first character string is consistent with a content represented by the second character string. 5. The method of claim 1 further comprising: outputting a result of the determining whether the content represented by the first character string is consistent with the content represented by the second character string in association with at least either of the first character string in the first text data and the second character string in the second text data. | 0.83514 |
7,672,844 | 17 | 22 | 17. A voice processing apparatus as set forth in claim 16 , wherein: speaker data stored in said voiceprint data memory means corresponds to each of said plurality of unidirectional microphones; and said data processing means processes the voice signal collected by said selected one microphone based on comparing first speaker data obtained by comparing voiceprint data stored in the voiceprint data memory means with second speaker data corresponding to said selected one microphone. | 17. A voice processing apparatus as set forth in claim 16 , wherein: speaker data stored in said voiceprint data memory means corresponds to each of said plurality of unidirectional microphones; and said data processing means processes the voice signal collected by said selected one microphone based on comparing first speaker data obtained by comparing voiceprint data stored in the voiceprint data memory means with second speaker data corresponding to said selected one microphone. 22. A voice processing apparatus as set forth in claim 17 , further comprising a voice conversion means for converting a voice signal to character string data, wherein said voice conversion means converts the voice signal collected by said selected one microphone into character string data; and said data processing means processes said character string data by associating the speaker data therewith, the speaker data being obtained by comparison with said voice signal. | 0.5 |
10,003,922 | 20 | 21 | 20. A system comprising: one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to: receive, from a mobile-client system of a first user, geographic-location information associated with the mobile-client system; calculate, for each of a plurality of candidate place-entities corresponding to the geographic-location information, a confidence score based on both the geographic-location information and social-graph information associated with the first user, wherein the confidence score represents a probability that the mobile-client system is located at the candidate place-entity; and send, to the mobile-client system, information associated with one or more of the candidate place-entities based on their respective confidence scores. | 20. A system comprising: one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to: receive, from a mobile-client system of a first user, geographic-location information associated with the mobile-client system; calculate, for each of a plurality of candidate place-entities corresponding to the geographic-location information, a confidence score based on both the geographic-location information and social-graph information associated with the first user, wherein the confidence score represents a probability that the mobile-client system is located at the candidate place-entity; and send, to the mobile-client system, information associated with one or more of the candidate place-entities based on their respective confidence scores. 21. The system of claim 20 , wherein the geographic-location information comprises a latitude-longitude pair determined based on one or more signals received by the mobile-client system. | 0.85559 |
9,218,680 | 20 | 21 | 20. A computer implemented method, the method comprising: determining by a computer portions of a page that include glyphs, where glyphs are text-based, character-based, or symbol-based content and exclude graphic content; classifying by the computer the glyphs into visible glyphs and non-visible glyphs by: changing by the computer a property associated with at least one of the glyphs to a first value; generating by the computer a first image of the page based on the first value of the property; changing by the computer the property of at least one of the all glyphs to a second, different value; generating by the computer a second image of the page based on the second value of the property; and comparing by the computer the first and second images to detect differences in the property of the glyphs between the first and the second images. | 20. A computer implemented method, the method comprising: determining by a computer portions of a page that include glyphs, where glyphs are text-based, character-based, or symbol-based content and exclude graphic content; classifying by the computer the glyphs into visible glyphs and non-visible glyphs by: changing by the computer a property associated with at least one of the glyphs to a first value; generating by the computer a first image of the page based on the first value of the property; changing by the computer the property of at least one of the all glyphs to a second, different value; generating by the computer a second image of the page based on the second value of the property; and comparing by the computer the first and second images to detect differences in the property of the glyphs between the first and the second images. 21. The method of claim 20 , wherein: changing a property associated with at least one of the glyphs to a first value comprises changing a property associated with all of the glyphs to the first value; and changing the property of at least one of the all glyphs to a second, different value comprises changing the property of all glyphs to the second, different value. | 0.5 |
8,527,518 | 21 | 23 | 21. A system comprising: at least one programmable processor; and a machine-readable medium storing instructions that, when executed by the at least one programmable processor, cause the at least one programmable processor to perform operations comprising: parsing a search query of a collection of electronic documents to identify two or more terms in two or more languages; associating the identified two or more terms with the two or more languages; retrieving, from a terms inverted index, at least one terms inverted list corresponding to at least one identified term, the terms inverted index comprising a first plurality of inverted lists mapping terms and associated document positions to documents within the collection of electronic documents; retrieving, from a language inverted index, at least one language inverted list corresponding to each associated language, the language index comprising a second plurality of inverted lists mapping languages to documents within the collection of electronic documents, the language inverted index being separate from the terms inverted index; identifying documents common to the retrieved at least one terms inverted list and to the retrieved language inverted lists; and initiating provision of data characterizing the identified documents. | 21. A system comprising: at least one programmable processor; and a machine-readable medium storing instructions that, when executed by the at least one programmable processor, cause the at least one programmable processor to perform operations comprising: parsing a search query of a collection of electronic documents to identify two or more terms in two or more languages; associating the identified two or more terms with the two or more languages; retrieving, from a terms inverted index, at least one terms inverted list corresponding to at least one identified term, the terms inverted index comprising a first plurality of inverted lists mapping terms and associated document positions to documents within the collection of electronic documents; retrieving, from a language inverted index, at least one language inverted list corresponding to each associated language, the language index comprising a second plurality of inverted lists mapping languages to documents within the collection of electronic documents, the language inverted index being separate from the terms inverted index; identifying documents common to the retrieved at least one terms inverted list and to the retrieved language inverted lists; and initiating provision of data characterizing the identified documents. 23. A system as in claim 21 , wherein the initiating comprises: persisting at least a portion of the data characterizing the identified documents. | 0.662037 |
7,660,594 | 10 | 13 | 10. A method for facilitating electronic communication between people who speak different languages, comprising: receiving an SMS message translation session request from a user; sending an SMS translation session grant response to the user; thereafter, receiving an SMS message including content in a first language; translating at least a portion of the content from a first language to a second language; and sending the SMS message with the content translated from the first language to the second language to a recipient directly from a network node at which the step of translating was performed; and re-translating the translated content to the first language and sending the thus re-translated content to an originator of the first SMS message without involvement of the recipient. | 10. A method for facilitating electronic communication between people who speak different languages, comprising: receiving an SMS message translation session request from a user; sending an SMS translation session grant response to the user; thereafter, receiving an SMS message including content in a first language; translating at least a portion of the content from a first language to a second language; and sending the SMS message with the content translated from the first language to the second language to a recipient directly from a network node at which the step of translating was performed; and re-translating the translated content to the first language and sending the thus re-translated content to an originator of the first SMS message without involvement of the recipient. 13. The method of claim 10 , wherein the SMS message translation session is active for a predetermined destination telephone number identified with the SMS message translation session request. | 0.542857 |
7,720,721 | 24 | 38 | 24. A system comprising: a memory and a processor; a transaction analysis module stored in the memory and executable on the processor for: retrieving at least one activity record that represents at least one interaction between a visitor and a server-based system; identifying within the activity record at least one input provided by the visitor during the interaction; identifying within the activity record at least one item associated with the input; accessing at least one further activity record containing the input; comparing the activity record and the further activity record; identifying within the further activity record at least one further item associated with the input; establishing a similarity rating of the item and the further item based at least in part on the comparison of the activity record and the further activity record; a synonym recognition unit stored in the memory and executable on the processor, the synonym recognition unit being in communication with the transaction analysis module for: receiving indications of the item and the further item and for receiving indications of the similarity rating; obtaining a document associated with the item and obtaining at least a further document associated with the further item; comparing the document to the further document; determining, based at least in part on the similarity rating of the item and the further item, that the document associated with the item and the further document associated with the further item contain synonyms; designating a term that appears in the document associated with the item as a synonym for a different term that appears in the further document associated with the further item; and a search engine stored in the memory and executable on the processor, the search engine being in communication with the synonym recognition unit for: receiving a search query specifying at least the different term that appears in the further document; and returning, as search results for the search query, the further document associated with the further item and the document associated with the item containing the term that is the synonym for the different term. | 24. A system comprising: a memory and a processor; a transaction analysis module stored in the memory and executable on the processor for: retrieving at least one activity record that represents at least one interaction between a visitor and a server-based system; identifying within the activity record at least one input provided by the visitor during the interaction; identifying within the activity record at least one item associated with the input; accessing at least one further activity record containing the input; comparing the activity record and the further activity record; identifying within the further activity record at least one further item associated with the input; establishing a similarity rating of the item and the further item based at least in part on the comparison of the activity record and the further activity record; a synonym recognition unit stored in the memory and executable on the processor, the synonym recognition unit being in communication with the transaction analysis module for: receiving indications of the item and the further item and for receiving indications of the similarity rating; obtaining a document associated with the item and obtaining at least a further document associated with the further item; comparing the document to the further document; determining, based at least in part on the similarity rating of the item and the further item, that the document associated with the item and the further document associated with the further item contain synonyms; designating a term that appears in the document associated with the item as a synonym for a different term that appears in the further document associated with the further item; and a search engine stored in the memory and executable on the processor, the search engine being in communication with the synonym recognition unit for: receiving a search query specifying at least the different term that appears in the further document; and returning, as search results for the search query, the further document associated with the further item and the document associated with the item containing the term that is the synonym for the different term. 38. The system of claim 24 , wherein the synonym recognition unit is for performing at least one thresholding operation that includes comparing contents of fields from the document to contents of further fields from the further document to determine a degree of relationship between the document and the further document. | 0.583117 |
9,349,100 | 3 | 5 | 3. The method of claim 1 , further comprising: analyzing user input to identify a cognitive state of the user. | 3. The method of claim 1 , further comprising: analyzing user input to identify a cognitive state of the user. 5. The method of claim 3 , wherein the user input comprises information from a stored user profile that specifies at least one aspect of the user. | 0.5 |
8,694,586 | 1 | 6 | 1. A method for maintaining corresponding relationships between at least one chat transcript and related chat content in an instant messaging system, comprising: establishing a chat session in the instant messaging system; displaying corresponding chat content synchronously according to a changed address of the chat content, wherein the changed address of the chat content includes a unique uniform resource locator (URL) identifying a discrete portion of the chat content; inserting the URL into a chat transcript as a separator, and segmenting the chat transcript into at least two segments to create a segmented chat transcript, each segment relating to a corresponding single respective address; and storing the segmented chat transcript and corresponding relationship between the URL and corresponding chat transcript segments. | 1. A method for maintaining corresponding relationships between at least one chat transcript and related chat content in an instant messaging system, comprising: establishing a chat session in the instant messaging system; displaying corresponding chat content synchronously according to a changed address of the chat content, wherein the changed address of the chat content includes a unique uniform resource locator (URL) identifying a discrete portion of the chat content; inserting the URL into a chat transcript as a separator, and segmenting the chat transcript into at least two segments to create a segmented chat transcript, each segment relating to a corresponding single respective address; and storing the segmented chat transcript and corresponding relationship between the URL and corresponding chat transcript segments. 6. The method according to claim 1 , wherein storing the segmented chat transcript further comprises: acquiring an address of the chat content; acquiring a chat transcript segment between the address of the chat content and address of a next chat content; and associating the address of the chat content with the acquired chat transcript segment to acquire a relationship between the address of the chat content and corresponding chat transcript segment. | 0.5 |
8,260,783 | 23 | 29 | 23. The system of claim 15 , wherein one of the plurality of data values of the primary data stream, one of the plurality of data values of the low limit data stream, one of the plurality of data values of the high limit data stream and one of the plurality of data values of the target value data stream are each associated with a particular one of the plurality of time stamps and are recorded at a time represented by the particular one of the plurality of time stamps. | 23. The system of claim 15 , wherein one of the plurality of data values of the primary data stream, one of the plurality of data values of the low limit data stream, one of the plurality of data values of the high limit data stream and one of the plurality of data values of the target value data stream are each associated with a particular one of the plurality of time stamps and are recorded at a time represented by the particular one of the plurality of time stamps. 29. The system of claim 23 , wherein the primary data stream is a data stream representing a measured value of a pump flow rate, a fluid level or a level of viscosity. | 0.5 |
9,761,278 | 1 | 2 | 1. A system that generates recommendations of post-capture users to edit digital media content, the system comprising: one or more physical computer processors configured by computer readable instructions to: obtain contextual parameters of digital media content, the digital media content being associated with a content capture user and/or an end user, the contextual parameters defining one or more temporal attributes and/or spatial attributes associated with capture of the digital media content; receive editing parameters selected by the content capture user and/or the end user, the editing parameters defining one or more editing attributes of an edited version of the digital media content to be created, the one or more editing attributes including one or more selected moments of interest within the digital media content to include within the edited version of the digital media content, wherein receiving the one or more selected moments of interest includes: obtaining, via a first client computing platform, a portion of the digital media content, the portion of the digital media content having a time duration; effectuate transmission of the portion of the digital media content to the first client computing platform for presentation; and receiving, from the first client computing platform, a selection of one or more moments of interest within the portion of the digital media content, individual moments of interest corresponding to individual points in time within the time duration of the portion of the digital media content; obtain post-capture user profiles, individual post-capture user profiles including expertise attributes associated with individual post-capture users, the expertise attributes including stated information and feedback information, the stated information being provided by the post-capture users themselves and the feedback information including information provided by one or more of content capture users and/or end users for whom the individual post-capture users have created edited versions of other digital media content; identify a set of post-capture users as potential matches for creating the edited version of the digital media content based upon the contextual parameters, the editing parameters, and the one or more expertise attributes of the post-capture user profiles; and effectuate presentation of the set of post-capture users to the content capture user and/or the end user for selection by the content capture user and/or the end user of one of the post-capture users from the set of post-capture users to create the edited version of the digital media content. | 1. A system that generates recommendations of post-capture users to edit digital media content, the system comprising: one or more physical computer processors configured by computer readable instructions to: obtain contextual parameters of digital media content, the digital media content being associated with a content capture user and/or an end user, the contextual parameters defining one or more temporal attributes and/or spatial attributes associated with capture of the digital media content; receive editing parameters selected by the content capture user and/or the end user, the editing parameters defining one or more editing attributes of an edited version of the digital media content to be created, the one or more editing attributes including one or more selected moments of interest within the digital media content to include within the edited version of the digital media content, wherein receiving the one or more selected moments of interest includes: obtaining, via a first client computing platform, a portion of the digital media content, the portion of the digital media content having a time duration; effectuate transmission of the portion of the digital media content to the first client computing platform for presentation; and receiving, from the first client computing platform, a selection of one or more moments of interest within the portion of the digital media content, individual moments of interest corresponding to individual points in time within the time duration of the portion of the digital media content; obtain post-capture user profiles, individual post-capture user profiles including expertise attributes associated with individual post-capture users, the expertise attributes including stated information and feedback information, the stated information being provided by the post-capture users themselves and the feedback information including information provided by one or more of content capture users and/or end users for whom the individual post-capture users have created edited versions of other digital media content; identify a set of post-capture users as potential matches for creating the edited version of the digital media content based upon the contextual parameters, the editing parameters, and the one or more expertise attributes of the post-capture user profiles; and effectuate presentation of the set of post-capture users to the content capture user and/or the end user for selection by the content capture user and/or the end user of one of the post-capture users from the set of post-capture users to create the edited version of the digital media content. 2. The system of claim 1 , wherein the one or more processors are further configured to: tag the individual moments of interest at individual points in time within the time duration of the portion of the digital media content. | 0.727711 |
5,575,508 | 2 | 4 | 2. The negotiable document of claim 1 further including: an endorsement area on a first side of the backing for endorsing the negotiable document; and a pantographic background design substantially covering the endorsement area of the negotiable documents, said pantographic background design having a single color. | 2. The negotiable document of claim 1 further including: an endorsement area on a first side of the backing for endorsing the negotiable document; and a pantographic background design substantially covering the endorsement area of the negotiable documents, said pantographic background design having a single color. 4. The negotiable document of claim 2, wherein the endorsement area further includes a warning clause describing the pantographic background design of the endorsement area. | 0.5 |
8,909,597 | 8 | 11 | 8. One or more non-transitory computer-readable media storing instructions that, when executed by one or more computing devices, cause: receiving, in a graphical user interface area, first inputs specifying drag-and-drop operations with respect to icons representing documents, the drag-and-drop operations indicating that the documents are to be added to a workflow represented by the graphical user interface area; depicting the documents within the graphical user interface area in a particular order, wherein the particular order reflects dependencies between the documents, the particular order indicating at least that processing of a second document of the documents is dependent upon a first document output of a first document of the documents; processing the workflow to generate a first workflow output for the workflow, wherein processing the workflow comprises at least iteratively generating outputs for each of the documents, in accordance with the particular order, the outputs including the first document output and a second document output for the second document; wherein generating the first document output comprises executing instructions within the first document configured to cause deriving a data set from a data source external to the first document; wherein generating the second document output comprises executing instructions within the second document configured to cause generating one or more graphs based on the first document output; reprocessing the workflow to generate a second workflow output for the workflow, wherein the second workflow output differs from the first workflow output as a result of a change in the first document output. | 8. One or more non-transitory computer-readable media storing instructions that, when executed by one or more computing devices, cause: receiving, in a graphical user interface area, first inputs specifying drag-and-drop operations with respect to icons representing documents, the drag-and-drop operations indicating that the documents are to be added to a workflow represented by the graphical user interface area; depicting the documents within the graphical user interface area in a particular order, wherein the particular order reflects dependencies between the documents, the particular order indicating at least that processing of a second document of the documents is dependent upon a first document output of a first document of the documents; processing the workflow to generate a first workflow output for the workflow, wherein processing the workflow comprises at least iteratively generating outputs for each of the documents, in accordance with the particular order, the outputs including the first document output and a second document output for the second document; wherein generating the first document output comprises executing instructions within the first document configured to cause deriving a data set from a data source external to the first document; wherein generating the second document output comprises executing instructions within the second document configured to cause generating one or more graphs based on the first document output; reprocessing the workflow to generate a second workflow output for the workflow, wherein the second workflow output differs from the first workflow output as a result of a change in the first document output. 11. The one or more non-transitory computer-readable media of claim 8 , wherein a workflow application performs the processing of the workflow, wherein generating the second document output comprises the workflow application sending instructions to an external application via an programming interface or command-line interface, and receiving results from the external application. | 0.680905 |
4,689,743 | 30 | 31 | 30. An apparatus as claimed in claim 29 wherein said selector means is operable to select either a said displayed standard character as the correct character or an opportunity to enter a new incoming character code. | 30. An apparatus as claimed in claim 29 wherein said selector means is operable to select either a said displayed standard character as the correct character or an opportunity to enter a new incoming character code. 31. An apparatus as claimed in claim 30 wherein an input means is connected to said selector means, for inputting an operator's said selection. | 0.887224 |
9,152,730 | 16 | 19 | 16. A non-transitory computer-readable medium containing software that extracts principal content from Web pages, the software comprising: executable code that identifies and classifies items on the Web page; executable code that builds a list of candidates; executable code that calculates candidate scores that vary according to a plurality of weights assigned to paragraphs and images of the Web page, wherein a particular paragraph is provided with a first weight based on a number of lines in the particular paragraph and is provided with a second weight based on a number of words in the particular paragraph, the first weight being independent of the second weight and a particular image is provided with a weight based on a size of the particular image; executable code that selects a top score candidate; executable code that performs clean up processing for the top score candidate; and executable code that performs final page processing for the top score candidate. | 16. A non-transitory computer-readable medium containing software that extracts principal content from Web pages, the software comprising: executable code that identifies and classifies items on the Web page; executable code that builds a list of candidates; executable code that calculates candidate scores that vary according to a plurality of weights assigned to paragraphs and images of the Web page, wherein a particular paragraph is provided with a first weight based on a number of lines in the particular paragraph and is provided with a second weight based on a number of words in the particular paragraph, the first weight being independent of the second weight and a particular image is provided with a weight based on a size of the particular image; executable code that selects a top score candidate; executable code that performs clean up processing for the top score candidate; and executable code that performs final page processing for the top score candidate. 19. A non-transitory computer-readable medium, according to claim 16 , wherein candidate scores are modified according to a number of containers and pieces and wherein a container is a Web page element that is associated with tags ‘body’, ‘div’, ‘td’, ‘li’, ‘article/section’ and pieces are candidates that do not include other candidates. | 0.833497 |
10,127,381 | 9 | 10 | 9. A method of switching emulation of an executable file comprising: providing a first emulator having a first virtual environment and configured to process a set of instructions in a first instruction set, wherein the first virtual environment is unique to the first instruction set; providing a second emulator having a second virtual environment and configured to process a set of instructions in a second instruction set, wherein the second virtual environment is unique to the second instruction set; removing non-functional code from a script related to the executable file; converting the script into pseudocode, the pseudocode comprising an intermediary form of commands decipherable by one of the first emulator or the second emulator; processing the pseudocode with the first emulator; switching processing of the pseudocode from the first emulator to the second emulator based on at least one switching criteria, the at least one switching criteria including a pseudocode processing task specific to one of the first instruction set or second instruction set; and switching processing of the pseudocode from the second emulator to the first emulator based on at least one second switching criteria, the at least one second switching criteria including a pseudocode processing task specific to one of the first instruction set or second instruction set, wherein the first virtual environment comprises an interpreter of a language in which the script was written, and the first emulator processes the first instruction set by reading a plurality of pseudocode commands from the converted script, determining an action for each of the pseudocode commands using the interpreter, performing emulation of the actions, and writing the results of the emulation to an emulator operation log. | 9. A method of switching emulation of an executable file comprising: providing a first emulator having a first virtual environment and configured to process a set of instructions in a first instruction set, wherein the first virtual environment is unique to the first instruction set; providing a second emulator having a second virtual environment and configured to process a set of instructions in a second instruction set, wherein the second virtual environment is unique to the second instruction set; removing non-functional code from a script related to the executable file; converting the script into pseudocode, the pseudocode comprising an intermediary form of commands decipherable by one of the first emulator or the second emulator; processing the pseudocode with the first emulator; switching processing of the pseudocode from the first emulator to the second emulator based on at least one switching criteria, the at least one switching criteria including a pseudocode processing task specific to one of the first instruction set or second instruction set; and switching processing of the pseudocode from the second emulator to the first emulator based on at least one second switching criteria, the at least one second switching criteria including a pseudocode processing task specific to one of the first instruction set or second instruction set, wherein the first virtual environment comprises an interpreter of a language in which the script was written, and the first emulator processes the first instruction set by reading a plurality of pseudocode commands from the converted script, determining an action for each of the pseudocode commands using the interpreter, performing emulation of the actions, and writing the results of the emulation to an emulator operation log. 10. The method of switching emulation of an executable file of claim 9 , wherein the first emulator is a script emulator and the first virtual environment is a pseudocode environment, the second emulator is a machine code emulator and the second virtual environment is a machine code environment, and the switching criteria is a transition from pseudocode to machine code. | 0.5 |
8,301,477 | 13 | 15 | 13. A computer program product for harmonizing business processes tasks, the computer program product comprising: a computer readable storage medium; first program instructions to compare descriptors associated with each of a plurality of business process tasks of different and separate processes of a service oriented architecture, wherein the descriptors associated with each of the tasks comprise a task name, a text description of the task, a predicate task that provides an input to the task in the service oriented architecture, and a subsequent task receives an output generated from the task in the service oriented architecture; wherein the first program instructions are further to identify a first task of the plurality of business process tasks that is within a first process of the service oriented architecture, and a second task of the plurality of business process tasks that is within a second process of the service oriented architecture that is different and separate from the first process, as a candidate task pair for consolidation as a function of determining that they have a text term in common in their task names or in their text descriptions; second program instructions to compare the inputs received from the predicate tasks of each of the candidate pair tasks and the outputs generated by each of the candidate pair tasks to their subsequent tasks, and to confirm consolidation of the candidate pair tasks if the compared inputs to the first and the second tasks are similar and the compared outputs of the first and the second task are similar; and third program instructions to consolidate the confirmed candidate pair tasks by merging the confirmed candidate pair tasks into a new merged task or replacing a one of the first and second tasks with a replacement other of the first and second tasks, and to generate an output from the consolidated candidate pair tasks as a common harmonized output for the subsequent tasks of the first and the second tasks; wherein the first, second and third program instructions are stored on the computer readable storage medium. | 13. A computer program product for harmonizing business processes tasks, the computer program product comprising: a computer readable storage medium; first program instructions to compare descriptors associated with each of a plurality of business process tasks of different and separate processes of a service oriented architecture, wherein the descriptors associated with each of the tasks comprise a task name, a text description of the task, a predicate task that provides an input to the task in the service oriented architecture, and a subsequent task receives an output generated from the task in the service oriented architecture; wherein the first program instructions are further to identify a first task of the plurality of business process tasks that is within a first process of the service oriented architecture, and a second task of the plurality of business process tasks that is within a second process of the service oriented architecture that is different and separate from the first process, as a candidate task pair for consolidation as a function of determining that they have a text term in common in their task names or in their text descriptions; second program instructions to compare the inputs received from the predicate tasks of each of the candidate pair tasks and the outputs generated by each of the candidate pair tasks to their subsequent tasks, and to confirm consolidation of the candidate pair tasks if the compared inputs to the first and the second tasks are similar and the compared outputs of the first and the second task are similar; and third program instructions to consolidate the confirmed candidate pair tasks by merging the confirmed candidate pair tasks into a new merged task or replacing a one of the first and second tasks with a replacement other of the first and second tasks, and to generate an output from the consolidated candidate pair tasks as a common harmonized output for the subsequent tasks of the first and the second tasks; wherein the first, second and third program instructions are stored on the computer readable storage medium. 15. The computer program product of claim 13 , wherein the first program instructions are further to identify the candidate pair for consolidation by: recognizing that a third task and a fourth task of the plurality of business process tasks are a preliminary candidate pair for consolidation as a function of identifying that the third task is linked in an input/output business process relationship to the first task as one of the tasks predicate or subsequent to the first task, and of identifying that the fourth task is linked in the same input/output business process relationship to the second task. | 0.647674 |
9,984,006 | 10 | 11 | 10. A method of automatically generating encryption rules, the method comprising: by a rules generation system comprising one or more hardware processors, determining a set of file portions from a plurality of training files, at least some of the set of file portions comprising content designated as sensitive information, each of the file portions comprising a subset of content of at least one file from the plurality of training files; generating a prospective encryption rule for addition to a set of available encryption rules based at least in part on an aggregated set of the file portions, the aggregated set of the file portions including at least one file portion that appears in more than one file from the plurality of training files; determining that a number of files from the plurality of training files identified for encryption by performance of the prospective encryption rule does not satisfy a threshold number of files; and in response to said determining, iteratively modifying the prospective encryption rule until the threshold number of files of the plurality of training files are identified for encryption by performance of the modified prospective encryption rule, and storing the modified prospective encryption rule at a non-volatile repository. | 10. A method of automatically generating encryption rules, the method comprising: by a rules generation system comprising one or more hardware processors, determining a set of file portions from a plurality of training files, at least some of the set of file portions comprising content designated as sensitive information, each of the file portions comprising a subset of content of at least one file from the plurality of training files; generating a prospective encryption rule for addition to a set of available encryption rules based at least in part on an aggregated set of the file portions, the aggregated set of the file portions including at least one file portion that appears in more than one file from the plurality of training files; determining that a number of files from the plurality of training files identified for encryption by performance of the prospective encryption rule does not satisfy a threshold number of files; and in response to said determining, iteratively modifying the prospective encryption rule until the threshold number of files of the plurality of training files are identified for encryption by performance of the modified prospective encryption rule, and storing the modified prospective encryption rule at a non-volatile repository. 11. The method of claim 10 , further comprising applying one or more natural language processing algorithms or heuristic algorithms to the plurality of training files to determine the set of file portions. | 0.812614 |
6,131,091 | 14 | 17 | 14. An apparatus for evaluation of data relevance, comprising: (a) a receiver processor; (b) a receiver port coupled to said processor; and (c) a receiver memory coupled to said receiver port and said receiver processor, storing receiver instructions adapted to be run on said receiver processor to (i) generate a query; (ii) receive a topic-evaluation vector, the topic-evaluation vector including a plurality of relevance determinations for a collection of data, each relevance determination in the plurality of relevance determinations pertaining to a topic; (iii) compare the evaluation vector to the generated query; and (iv) perform a resulting action based on results of the comparison. | 14. An apparatus for evaluation of data relevance, comprising: (a) a receiver processor; (b) a receiver port coupled to said processor; and (c) a receiver memory coupled to said receiver port and said receiver processor, storing receiver instructions adapted to be run on said receiver processor to (i) generate a query; (ii) receive a topic-evaluation vector, the topic-evaluation vector including a plurality of relevance determinations for a collection of data, each relevance determination in the plurality of relevance determinations pertaining to a topic; (iii) compare the evaluation vector to the generated query; and (iv) perform a resulting action based on results of the comparison. 17. The apparatus in claim 14, said receiver memory further storing receiver instructions to be run on said receiver processor to (v) store data if the generated query is found in the topic-evaluation vector to be above the threshold correlation. | 0.528736 |
9,110,501 | 1 | 5 | 1. A method for detecting and classifying talking segments of a face in a visual cue in order to infer emotions, the method comprising: normalizing and localizing a face region for each frame of the visual cue; obtaining a histogram of structure descriptive features of the face for the frame in the visual cue; deriving an integrated gradient histogram (IGH) from the descriptive features for the frame in the visual cue; computing entropy of the IGH for the frame in the visual cue; performing segmentation of the IGH to detect talking segments for the face in the visual cues; and analyzing the segments for the frame in the visual cues to infer emotions. | 1. A method for detecting and classifying talking segments of a face in a visual cue in order to infer emotions, the method comprising: normalizing and localizing a face region for each frame of the visual cue; obtaining a histogram of structure descriptive features of the face for the frame in the visual cue; deriving an integrated gradient histogram (IGH) from the descriptive features for the frame in the visual cue; computing entropy of the IGH for the frame in the visual cue; performing segmentation of the IGH to detect talking segments for the face in the visual cues; and analyzing the segments for the frame in the visual cues to infer emotions. 5. The method of claim 1 , wherein the entropy of the IGH is computed for determining an amount of uncertainty involved in talking segments in the visual cue. | 0.672199 |
8,818,100 | 34 | 35 | 34. The system of claim 32 wherein: the subsets module determines the initial subset of rows for each column having more than one character block aligned in that column in the text rows of the at least one document image, each initial subset of rows comprising one or more of the text rows of the at least one document image having at least one alignment of at least one character block in a selected column, each initial subset of rows having a set of columns comprising the selected column and other columns in the one or more text rows of a corresponding initial subset of rows in which the selected column is present; in the optimum set module, each optimum set comprises a most representative set of columns selected from the set of columns of the corresponding initial subset of rows; and in the division module: each final subset of rows comprises at least one of the one or more text rows of the corresponding initial subset of rows having a corresponding physical structure that is most similar to the most representative set of columns of the corresponding optimum set when compared to physical structures of all of the one or more text rows of the corresponding initial subset of rows; each confidence factor measures a similarity of corresponding physical structures of the at least one of the one or more text rows in one corresponding final subset of rows to each other; and each particular text row has at least one confidence factor corresponding to at least one final subset of rows in which the particular text row is an element. | 34. The system of claim 32 wherein: the subsets module determines the initial subset of rows for each column having more than one character block aligned in that column in the text rows of the at least one document image, each initial subset of rows comprising one or more of the text rows of the at least one document image having at least one alignment of at least one character block in a selected column, each initial subset of rows having a set of columns comprising the selected column and other columns in the one or more text rows of a corresponding initial subset of rows in which the selected column is present; in the optimum set module, each optimum set comprises a most representative set of columns selected from the set of columns of the corresponding initial subset of rows; and in the division module: each final subset of rows comprises at least one of the one or more text rows of the corresponding initial subset of rows having a corresponding physical structure that is most similar to the most representative set of columns of the corresponding optimum set when compared to physical structures of all of the one or more text rows of the corresponding initial subset of rows; each confidence factor measures a similarity of corresponding physical structures of the at least one of the one or more text rows in one corresponding final subset of rows to each other; and each particular text row has at least one confidence factor corresponding to at least one final subset of rows in which the particular text row is an element. 35. The system of claim 34 wherein the optimum set module determines the optimum set for each initial subset of rows by: generating a histogram of column frequencies of the set of columns in the corresponding initial subset of rows, each column frequency comprising a number of times a particular column occurs in the corresponding initial subset of rows; determining a threshold of the column frequencies for the corresponding initial subset of rows; and selecting particular columns having the column frequency above the threshold to be included in the most representative set of columns for the corresponding optimum set. | 0.864466 |
9,275,042 | 3 | 4 | 3. The method as claimed in claim 2 , wherein the one or more semantic clusters correspond to topics that occur in the first corpus but not in the second corpus. | 3. The method as claimed in claim 2 , wherein the one or more semantic clusters correspond to topics that occur in the first corpus but not in the second corpus. 4. The method as claimed in claim 3 , wherein at least one of said topics is expressed by at least two semantic graphs formed by linguistic analysis and from first and second sets of semantic clusters using different words and grammatical structures. | 0.5 |
9,805,010 | 14 | 17 | 14. A system comprising: a processor; and a memory, wherein the memory embodies at least one program component that configures the processor to: receive input that identifies content from a body of a document to be redacted, wherein the body of the document is depicted in a content view of a graphical user interface; search the document for a plurality of instances of the content to be redacted; render a list identifying the plurality of instances of the content found in response to searching the document, wherein the list is depicted in a redaction view of the graphical user interface separate from the content view, the plurality of instances of the content being simultaneously displayable in the list and selectable from the list; in response to receiving a selection of at least one instance of the content in the list for redaction, displaying in the content view the portion of the body with a pre-redaction format applied to the selected instance of the content, wherein the pre-redaction allows the selected instance of content to remain viewable; and in response to receiving an indication to perform a redaction operation operation on the selected instances of the content displaying the portion of the body in the content view with a redaction format applied to the selected instance of the content, wherein the redaction format redacts the selected instance of content from view. | 14. A system comprising: a processor; and a memory, wherein the memory embodies at least one program component that configures the processor to: receive input that identifies content from a body of a document to be redacted, wherein the body of the document is depicted in a content view of a graphical user interface; search the document for a plurality of instances of the content to be redacted; render a list identifying the plurality of instances of the content found in response to searching the document, wherein the list is depicted in a redaction view of the graphical user interface separate from the content view, the plurality of instances of the content being simultaneously displayable in the list and selectable from the list; in response to receiving a selection of at least one instance of the content in the list for redaction, displaying in the content view the portion of the body with a pre-redaction format applied to the selected instance of the content, wherein the pre-redaction allows the selected instance of content to remain viewable; and in response to receiving an indication to perform a redaction operation operation on the selected instances of the content displaying the portion of the body in the content view with a redaction format applied to the selected instance of the content, wherein the redaction format redacts the selected instance of content from view. 17. The system of claim 14 , wherein searching the document comprises identifying proximate content near each instance of the content; and wherein rendering the list comprises rendering the plurality of instances of the content along with the corresponding proximate content. | 0.823492 |
8,121,838 | 12 | 17 | 12. A system for prioritizing speech recognition results from a plurality of speech recognition tasks performed by a speech recognition system, the system comprising at least one processor programmed to: access captured information captured during the plurality of speech recognition tasks, comprising accessing first captured information captured during a first speech recognition task and second captured information captured during a second speech recognition task, the first speech recognition task being performed on one or more first spoken utterances and producing a first recognized text, the second speech recognition task being performed on one or more second spoken utterances and producing a second recognized text different from the first recognized text; associate a first accuracy rating with at least one portion of the first recognized text based at least in part on the first captured information, wherein the at least one portion of the first recognized text comprises a recognized phrase output by the first speech recognition task based on the one or more first spoken utterances, and wherein the first accuracy rating associated with the at least one portion of the first recognized text is based at least in part on at least one item of information that relates to the recognized phrase but is independent of a confidence score associated with the recognized phrase and independent of confidence scores associated with a plurality of phrases in an N-best match output by the first speech recognition task, the plurality of phrases being different from the recognized phrase; associate a second accuracy rating with at least one portion of the second recognized text based at least in part on the second captured information; and display, on a display device, the at least one portion of the first recognized text and the at least one portion of the second recognized text, wherein the at least one portion of the first recognized text is presented in such a manner as to be dissociated from at least one other portion of the first recognized text and wherein at least one visual indication is provided to reflect a priority between the at least one portion of the first recognized text and the at least one portion of the second recognized text, the priority being determined based at least partially on the first and second accuracy ratings. | 12. A system for prioritizing speech recognition results from a plurality of speech recognition tasks performed by a speech recognition system, the system comprising at least one processor programmed to: access captured information captured during the plurality of speech recognition tasks, comprising accessing first captured information captured during a first speech recognition task and second captured information captured during a second speech recognition task, the first speech recognition task being performed on one or more first spoken utterances and producing a first recognized text, the second speech recognition task being performed on one or more second spoken utterances and producing a second recognized text different from the first recognized text; associate a first accuracy rating with at least one portion of the first recognized text based at least in part on the first captured information, wherein the at least one portion of the first recognized text comprises a recognized phrase output by the first speech recognition task based on the one or more first spoken utterances, and wherein the first accuracy rating associated with the at least one portion of the first recognized text is based at least in part on at least one item of information that relates to the recognized phrase but is independent of a confidence score associated with the recognized phrase and independent of confidence scores associated with a plurality of phrases in an N-best match output by the first speech recognition task, the plurality of phrases being different from the recognized phrase; associate a second accuracy rating with at least one portion of the second recognized text based at least in part on the second captured information; and display, on a display device, the at least one portion of the first recognized text and the at least one portion of the second recognized text, wherein the at least one portion of the first recognized text is presented in such a manner as to be dissociated from at least one other portion of the first recognized text and wherein at least one visual indication is provided to reflect a priority between the at least one portion of the first recognized text and the at least one portion of the second recognized text, the priority being determined based at least partially on the first and second accuracy ratings. 17. The system of claim 12 , wherein the at least one processor is further programmed to display portions of recognized texts according to a color coding scheme that visually distinguishes at least some of the portions of recognized texts having different priorities. | 0.700673 |
10,154,069 | 1 | 6 | 1. A collaborative computing data processing system for annotating collaborative information structures comprising: a host server having at least one processor and a memory; an information structure document (ISD) stored in the memory and comprising an object section and a separate annotation section; a collaborative ISD interface executing in the memory of the server, the collaborative ISD interface providing access to add objects to at least one either of the object section of a collaborative ISD and the separate annotation section of the collaborative ISD and also providing access to add annotations to the annotation section of the collaborative ISD, where an object added to the annotation section of the collaborative ISD is added as an annotation of the object; and, ISD management logic executing in the memory of the host server, the ISD management logic comprising program code that when executed by the at least one processor of the host server causes the host server to: create in the memory of the host server the collaborative ISD, add a collaborative object to the object section of the collaborative ISD, add an annotation to the separate annotation section of the collaborative ISD, and store the collaborative ISD. | 1. A collaborative computing data processing system for annotating collaborative information structures comprising: a host server having at least one processor and a memory; an information structure document (ISD) stored in the memory and comprising an object section and a separate annotation section; a collaborative ISD interface executing in the memory of the server, the collaborative ISD interface providing access to add objects to at least one either of the object section of a collaborative ISD and the separate annotation section of the collaborative ISD and also providing access to add annotations to the annotation section of the collaborative ISD, where an object added to the annotation section of the collaborative ISD is added as an annotation of the object; and, ISD management logic executing in the memory of the host server, the ISD management logic comprising program code that when executed by the at least one processor of the host server causes the host server to: create in the memory of the host server the collaborative ISD, add a collaborative object to the object section of the collaborative ISD, add an annotation to the separate annotation section of the collaborative ISD, and store the collaborative ISD. 6. The collaborative computing data processing system of claim 1 , wherein the ISD management logic further comprises program code that when executed by the at least one processor of the host server causes the host server to: select a stored collaborative ISD; open an annotation from the separate annotation section of the selected stored collaborative ISD; edit the annotation; and, re-store the selected stored collaborative ISD upon completion of the editing of the annotation. | 0.5 |
9,705,966 | 1 | 4 | 1. A system comprising: one or more processing units; computer-readable memory; instructions stored in the computer-readable memory to implement an asset service, executable on the one or more processing units, to: receive content via an author-facing user interface; store metadata about the content, the content comprising one or more of a work, a portion of a work, or a pitch, the metadata including: draft metadata designating the content as private, the system sharing content designated as private with the author-facing user interface associated with an author that generated or provided the content, the system refraining from sharing the content designated as private with reader-facing user interfaces associated with users that did not generate or provide the content; and shared metadata designating the content as public, the system sharing content designated as public with the reader-facing user interfaces associated with the users other than the author that generated or provided the content; and receive an alternate version of the content, the alternate version of the content including a change to the content; receive data from an author device including a poll asking for indication of a preference between the content and the alternate version of the content; instructions stored in the computer-readable memory to implement a comment module, executable on the one or more processing units, to receive answers to the poll; instructions stored in the computer-readable memory to implement an activity service, executable on the one or more processing units, to recognize a call to the system from a computing device displaying the reader-facing user interface and create a record of an event that occurs as a result of the call, the event comprising an interaction on the reader-facing user interface between a reader and the content; instructions stored in the computer-readable memory to implement a notification service, executable on the one or more processing units, to receive a notification of the event from the activity service and communicate the event to at least one other portion of the system; instructions stored in the computer-readable memory to implement a comment module, executable on the one or more processing units, to receive a comment corresponding to the content and store the comment in association with the content; and wherein the event that occurs as a result of the call is creating an association between the comment and the content, and the notification service is further to generate a notification that the comment has been posted in association with the content. | 1. A system comprising: one or more processing units; computer-readable memory; instructions stored in the computer-readable memory to implement an asset service, executable on the one or more processing units, to: receive content via an author-facing user interface; store metadata about the content, the content comprising one or more of a work, a portion of a work, or a pitch, the metadata including: draft metadata designating the content as private, the system sharing content designated as private with the author-facing user interface associated with an author that generated or provided the content, the system refraining from sharing the content designated as private with reader-facing user interfaces associated with users that did not generate or provide the content; and shared metadata designating the content as public, the system sharing content designated as public with the reader-facing user interfaces associated with the users other than the author that generated or provided the content; and receive an alternate version of the content, the alternate version of the content including a change to the content; receive data from an author device including a poll asking for indication of a preference between the content and the alternate version of the content; instructions stored in the computer-readable memory to implement a comment module, executable on the one or more processing units, to receive answers to the poll; instructions stored in the computer-readable memory to implement an activity service, executable on the one or more processing units, to recognize a call to the system from a computing device displaying the reader-facing user interface and create a record of an event that occurs as a result of the call, the event comprising an interaction on the reader-facing user interface between a reader and the content; instructions stored in the computer-readable memory to implement a notification service, executable on the one or more processing units, to receive a notification of the event from the activity service and communicate the event to at least one other portion of the system; instructions stored in the computer-readable memory to implement a comment module, executable on the one or more processing units, to receive a comment corresponding to the content and store the comment in association with the content; and wherein the event that occurs as a result of the call is creating an association between the comment and the content, and the notification service is further to generate a notification that the comment has been posted in association with the content. 4. The system of claim 1 , further comprising instructions stored in the computer-readable memory to implement a profile service, executable on the one or more processing units, to store a profile associated with the author and associate metadata indicating that the content is authored by the author. | 0.5 |
4,573,196 | 10 | 12 | 10. In an apparatus for identifying patterns by means of a pattern registration means and a data processing means, wherein each pattern comprises at least one unknown stroke generated by relative sequential movement between a pattern-forming means and a pattern-accommodating means of said pattern registration means, said pattern registration means being operative to generate first signal information represented by first signals, said first signal information being representative of stroke information about said unknown stroke, said data processing means being provided with prestored second signal information represented by second signals, said second signal information including templates corresponding to template strokes, said data processing means being operative to generate third signals representing third signal information in response to said first signals and said second signals, said third signal information comprising identity labels for use in developing coded information which identifies said patterns, the improvement comprising: means for storing said second signal information defining templates wherein at least one of said templates is a confusion group template, each said confusion group template being derived from information about at least two of said template strokes; means for generating distance metric values representative of closeness of stroke shape between said first signal information and said second signal information for at least each one of said confusion group templates; and means for determining from said distance metric values which of said confusion group templates or which of said stroke templates yields the least of said distance metric values to obtain an identity label for said unknown stroke by ignoring decision criteria for distinguishing between selected template strokes whenever said selected template strokes are included in a common one of said confusion group templates. | 10. In an apparatus for identifying patterns by means of a pattern registration means and a data processing means, wherein each pattern comprises at least one unknown stroke generated by relative sequential movement between a pattern-forming means and a pattern-accommodating means of said pattern registration means, said pattern registration means being operative to generate first signal information represented by first signals, said first signal information being representative of stroke information about said unknown stroke, said data processing means being provided with prestored second signal information represented by second signals, said second signal information including templates corresponding to template strokes, said data processing means being operative to generate third signals representing third signal information in response to said first signals and said second signals, said third signal information comprising identity labels for use in developing coded information which identifies said patterns, the improvement comprising: means for storing said second signal information defining templates wherein at least one of said templates is a confusion group template, each said confusion group template being derived from information about at least two of said template strokes; means for generating distance metric values representative of closeness of stroke shape between said first signal information and said second signal information for at least each one of said confusion group templates; and means for determining from said distance metric values which of said confusion group templates or which of said stroke templates yields the least of said distance metric values to obtain an identity label for said unknown stroke by ignoring decision criteria for distinguishing between selected template strokes whenever said selected template strokes are included in a common one of said confusion group templates. 12. In the apparatus of claim 10, the improvement wherein said determining means is operative to to yield as said identity label a confusion group label specifying a confusion group for said unknown stroke. | 0.859673 |
9,990,414 | 17 | 18 | 17. A computer program product for controlled sharing, in a cognitive computing system having a memory and a processor, of content from a variety of content providers, the computer program product including a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processing circuit to cause the processing circuit to perform a method comprising: receiving, by the cognitive computing system, an inquiry, wherein the inquiry is directed to at least one content topic; identifying, by the cognitive computing system, the at least one content topic; determining, by the cognitive computing system, that a cognitive component of the cognitive computing system managed by a content provider has access to a content repository addressing the at least one content topic, wherein the content provider controls access to the content repository according to an access control agreement; determining, by the cognitive computing system in response to the at least one topic and the agreement, that the cognitive component can address the inquiry; distributing, by the cognitive computing system in response to determining that the cognitive component can address the inquiry, the inquiry to the cognitive component; receiving a response from the cognitive component; processing the response to generate an answer to the inquiry; determining that a first confidence score associated with the response from the cognitive component is below a threshold value; determining that one or more cognitive components, not associated with cognitive computing system, has access to a content repository addressing the at least one content topic and can provide a response having a second confidence score, the second confidence score being larger than the first confidence score; and associating the one or more cognitive components with the cognitive computing system. | 17. A computer program product for controlled sharing, in a cognitive computing system having a memory and a processor, of content from a variety of content providers, the computer program product including a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processing circuit to cause the processing circuit to perform a method comprising: receiving, by the cognitive computing system, an inquiry, wherein the inquiry is directed to at least one content topic; identifying, by the cognitive computing system, the at least one content topic; determining, by the cognitive computing system, that a cognitive component of the cognitive computing system managed by a content provider has access to a content repository addressing the at least one content topic, wherein the content provider controls access to the content repository according to an access control agreement; determining, by the cognitive computing system in response to the at least one topic and the agreement, that the cognitive component can address the inquiry; distributing, by the cognitive computing system in response to determining that the cognitive component can address the inquiry, the inquiry to the cognitive component; receiving a response from the cognitive component; processing the response to generate an answer to the inquiry; determining that a first confidence score associated with the response from the cognitive component is below a threshold value; determining that one or more cognitive components, not associated with cognitive computing system, has access to a content repository addressing the at least one content topic and can provide a response having a second confidence score, the second confidence score being larger than the first confidence score; and associating the one or more cognitive components with the cognitive computing system. 18. The computer program product of claim 17 , wherein the cognitive component is able to respond to inquiries directed to content topics addressed by the content repository according to a content access control restriction determined by the content provider. | 0.5 |
9,235,634 | 1 | 6 | 1. A method of generating annotation tags for classifying media, said method performed by a signal processing apparatus comprising a processor and a memory, and said method comprising: receiving media to be classified, said media received in electronic form; retrieving an annotation ontology tree associated with a respective media class and comprising a set of hierarchical descriptors for labeling objects or things with increasing specificity; representing the media within a selected representation domain by applying a corresponding signal transform to the media to obtain a transformed media comprising features characteristic of the media in the selected representation domain, wherein the selected representation domain is non-human perceivable; comparing the features of the transformed media to explanatory representation data that, within the selected representation domain, represents bottom-level descriptors in the hierarchical set of descriptors of the annotation ontology tree; generating a set of annotation tags from one or more of the hierarchical descriptors in the annotation ontology tree that correspond to any of the explanatory representation data that, based on the comparing, are identified as matching the features of the transformed media; and applying one or more of the annotation tags to the media and thereby classifying the media according to the applied tags. | 1. A method of generating annotation tags for classifying media, said method performed by a signal processing apparatus comprising a processor and a memory, and said method comprising: receiving media to be classified, said media received in electronic form; retrieving an annotation ontology tree associated with a respective media class and comprising a set of hierarchical descriptors for labeling objects or things with increasing specificity; representing the media within a selected representation domain by applying a corresponding signal transform to the media to obtain a transformed media comprising features characteristic of the media in the selected representation domain, wherein the selected representation domain is non-human perceivable; comparing the features of the transformed media to explanatory representation data that, within the selected representation domain, represents bottom-level descriptors in the hierarchical set of descriptors of the annotation ontology tree; generating a set of annotation tags from one or more of the hierarchical descriptors in the annotation ontology tree that correspond to any of the explanatory representation data that, based on the comparing, are identified as matching the features of the transformed media; and applying one or more of the annotation tags to the media and thereby classifying the media according to the applied tags. 6. The method according to claim 1 , wherein the selected representation domain is a transform domain. | 0.836538 |
9,536,069 | 7 | 16 | 7. A computer-implemented user authentication process that is independently invokable for authenticating a user request to access a protected resource or to supplement authenticating a user requesting access to the protected resource, the process comprising: using a computing device to perform the steps of: delivering formatting instructions, which instruct the user how to format a given text using formatting options comprising of Font, Font Size, Font Color, Shading, Font Style, Font Effects, Font Underline, and character effects, to the user over an alternate channel including Email, SMS, voice message, picture message, video message, or hardware device given to user to receive instructions remotely; providing the text to the user to format; capturing the text on which the user has applied formatting using the formatting instructions; comparing the captured formatted text against a stored text on a server that is formatted using same instructions sent to the user using the alternate channel; flagging the captured text as correctly formatted and alternate authentication process as success when the comparison indicates that a match occurs; flagging the captured text as incorrectly formatted and alternate authentication process as failure when the comparison indicates that a match does not occur; alerting user via alert communication methods of user including email, text message, voice message, voice call, SMS, audible alarm, or visual clues; and logging the steps performed by the computing device. | 7. A computer-implemented user authentication process that is independently invokable for authenticating a user request to access a protected resource or to supplement authenticating a user requesting access to the protected resource, the process comprising: using a computing device to perform the steps of: delivering formatting instructions, which instruct the user how to format a given text using formatting options comprising of Font, Font Size, Font Color, Shading, Font Style, Font Effects, Font Underline, and character effects, to the user over an alternate channel including Email, SMS, voice message, picture message, video message, or hardware device given to user to receive instructions remotely; providing the text to the user to format; capturing the text on which the user has applied formatting using the formatting instructions; comparing the captured formatted text against a stored text on a server that is formatted using same instructions sent to the user using the alternate channel; flagging the captured text as correctly formatted and alternate authentication process as success when the comparison indicates that a match occurs; flagging the captured text as incorrectly formatted and alternate authentication process as failure when the comparison indicates that a match does not occur; alerting user via alert communication methods of user including email, text message, voice message, voice call, SMS, audible alarm, or visual clues; and logging the steps performed by the computing device. 16. The process of claim 7 , wherein formatting instructions delivered are in the form of format instruction hints that the user has setup while configuring a set of formatting instructions for the process to choose randomly when the user makes access request. | 0.5 |
9,852,205 | 1 | 2 | 1. A computer system comprising: a computer processor; and a computer readable storage medium storing program instructions configured for execution by the computer processor in order to configure the computer processor to: generate a graphical user interface including at least a representation of a plurality of dimensions of a multidimensional data set; receive, via the graphical user interface, a selection of at least two dimensions of the multidimensional data set; determine a plurality of data objects each corresponding to different combinations of values of the selected dimensions; generate a plurality of two-dimensional graphs that are spatially positioned in a single graphical user interface view, wherein: each of the two-dimensional graphs is generated based on data associated with a respective one of the plurality of data objects, each of the two-dimensional graphs comprises a respective x-axis and a respective y-axis, the x-axes of the two-dimensional graphs each have a first common scale and a first common interval, the y-axes of the two-dimensional graphs each have a second common scale and a second common interval, and data represented in each respective two-dimensional graph is shown according to the first common scale and the first common interval of the x-axes and the second common scale and the second common interval of the y-axes; and update the graphical user interface to display the single graphical user interface view including the plurality of two-dimensional graphs, wherein: the plurality of two-dimensional graphs are displayed in a plurality of rows and columns, each combination of row and column corresponds to a different respective combination of values of the selected dimensions, and the plurality of two-dimensional graphs are spatially positioned in the single graphical user interface view in corresponding rows and columns to enable a user to directly compare data represented in the plurality of two-dimensional graphs to view differences in data across the selected dimensions. | 1. A computer system comprising: a computer processor; and a computer readable storage medium storing program instructions configured for execution by the computer processor in order to configure the computer processor to: generate a graphical user interface including at least a representation of a plurality of dimensions of a multidimensional data set; receive, via the graphical user interface, a selection of at least two dimensions of the multidimensional data set; determine a plurality of data objects each corresponding to different combinations of values of the selected dimensions; generate a plurality of two-dimensional graphs that are spatially positioned in a single graphical user interface view, wherein: each of the two-dimensional graphs is generated based on data associated with a respective one of the plurality of data objects, each of the two-dimensional graphs comprises a respective x-axis and a respective y-axis, the x-axes of the two-dimensional graphs each have a first common scale and a first common interval, the y-axes of the two-dimensional graphs each have a second common scale and a second common interval, and data represented in each respective two-dimensional graph is shown according to the first common scale and the first common interval of the x-axes and the second common scale and the second common interval of the y-axes; and update the graphical user interface to display the single graphical user interface view including the plurality of two-dimensional graphs, wherein: the plurality of two-dimensional graphs are displayed in a plurality of rows and columns, each combination of row and column corresponds to a different respective combination of values of the selected dimensions, and the plurality of two-dimensional graphs are spatially positioned in the single graphical user interface view in corresponding rows and columns to enable a user to directly compare data represented in the plurality of two-dimensional graphs to view differences in data across the selected dimensions. 2. The computer system of claim 1 , wherein the computer processor is further configured to: receive, via the graphical user interface, an indication of a new interval; re-generate the plurality of two-dimensional graphs such that at least one of the first common interval or the second common interval corresponds to the new interval; and update the graphical user interface to display the single graphical user interface view including the re-generated two-dimensional graphs. | 0.666201 |
9,355,155 | 5 | 7 | 5. A system, comprising: one or more processors; and memory including instruction that, when executed by the one or more processors, cause the system to: receive an electronic request to determine, based at least in part on a set of details, an identity of a user; determine a set of frequencies for the set of details; obtain a set of records based at least in part on the set of details; obtain a set of scores for at least a subset of the set of records, the set of scores obtained by, for each record of the set of records, causing the system to: compute a set of search terms results, each search term result of the set of search term results at least including whether a search term corresponding to the search term result: matches a corresponding field value in the set of records, corresponds to an empty value, or is a mismatch to the corresponding field value; and filter, based at least in part on the set of frequencies and the set of search term results, the set of records to obtain a subset of the set of records; obtain a plurality of votes as a result of passing one or more frequencies of the set of frequencies that correspond to the subset of the set of records to a plurality of decision trees, the plurality of decision trees; and generate the score based at least in part on a count of the plurality of votes of the plurality of decision trees; and determine the identity based at least in part on the set of scores. | 5. A system, comprising: one or more processors; and memory including instruction that, when executed by the one or more processors, cause the system to: receive an electronic request to determine, based at least in part on a set of details, an identity of a user; determine a set of frequencies for the set of details; obtain a set of records based at least in part on the set of details; obtain a set of scores for at least a subset of the set of records, the set of scores obtained by, for each record of the set of records, causing the system to: compute a set of search terms results, each search term result of the set of search term results at least including whether a search term corresponding to the search term result: matches a corresponding field value in the set of records, corresponds to an empty value, or is a mismatch to the corresponding field value; and filter, based at least in part on the set of frequencies and the set of search term results, the set of records to obtain a subset of the set of records; obtain a plurality of votes as a result of passing one or more frequencies of the set of frequencies that correspond to the subset of the set of records to a plurality of decision trees, the plurality of decision trees; and generate the score based at least in part on a count of the plurality of votes of the plurality of decision trees; and determine the identity based at least in part on the set of scores. 7. The system of claim 5 , wherein for each frequency of the set of frequencies, determine the frequency based at least in part on a function of: a total number of records in a data set that includes the set of records; and a number of records found in which a search term occurs in a particular field, the search term generated at least in part from the set of details. | 0.535176 |
10,101,889 | 4 | 7 | 4. The method of claim 1 , further comprising: receiving a signal that indicates completion of a dashboard editing action; responsively re-executing one or more queries on the read-only pre-packaged data sets stored in the general-purpose distributed memory caching system underlying the faceted first panels and the second panel; and updating charts or graphs in the faceted first panels and the second panel based at least in part on the re-executed one or more queries. | 4. The method of claim 1 , further comprising: receiving a signal that indicates completion of a dashboard editing action; responsively re-executing one or more queries on the read-only pre-packaged data sets stored in the general-purpose distributed memory caching system underlying the faceted first panels and the second panel; and updating charts or graphs in the faceted first panels and the second panel based at least in part on the re-executed one or more queries. 7. The method of claim 4 , further comprising: recording the executed query in memory, wherein the one or more queries are re-executed based at least in part on the recording. | 0.668561 |
8,745,037 | 18 | 19 | 18. One or more hardware memory devices, not being a signal per se, storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method comprising: determining whether a first physical operator can provide an output that satisfies a particular structural property requirement based on at least matching the first physical operator output and the particular structural property requirement, wherein matching comprises comparing the first physical operator output to the particular structural property, the particular structural property requirement defines a partition, sort, and group structure of input data required from the first physical operator when the first physical operator can provide an output that satisfies the particular structural property requirement, considering the first physical operator for optimization and pushing structural property requirements imposed by the first physical operator to child expressions; and when the first physical operator cannot provide an output that satisfies the particular structural property requirement, and the first physical operator can preserve structural property requirements, considering the first physical operator for optimization and pushing the particular structural property requirement to child expressions, and when the first physical operator cannot provide an output that satisfies the particular structural property requirement, considering the first physical operator for optimization, adding a new physical operator that satisfies the particular structural property requirement, and optimizing child expressions without imposing the particular structural requirement on child expressions. | 18. One or more hardware memory devices, not being a signal per se, storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method comprising: determining whether a first physical operator can provide an output that satisfies a particular structural property requirement based on at least matching the first physical operator output and the particular structural property requirement, wherein matching comprises comparing the first physical operator output to the particular structural property, the particular structural property requirement defines a partition, sort, and group structure of input data required from the first physical operator when the first physical operator can provide an output that satisfies the particular structural property requirement, considering the first physical operator for optimization and pushing structural property requirements imposed by the first physical operator to child expressions; and when the first physical operator cannot provide an output that satisfies the particular structural property requirement, and the first physical operator can preserve structural property requirements, considering the first physical operator for optimization and pushing the particular structural property requirement to child expressions, and when the first physical operator cannot provide an output that satisfies the particular structural property requirement, considering the first physical operator for optimization, adding a new physical operator that satisfies the particular structural property requirement, and optimizing child expressions without imposing the particular structural requirement on child expressions. 19. The one or more hardware memory devices of claim 18 , wherein the first physical operator comprises a particular delivered structural property that comprises at least one of a partitioning property, grouping property, and sorting property each defining a partition, sort, and group structure, respectively, of output data delivered from the first physical operator. | 0.5 |
7,672,845 | 1 | 17 | 1. A method for dynamically detecting topics during one of a speech and a call center conversation, comprising: predefining one or more keywords; associating information with the one or more keywords; detecting at least one of the one or more keywords during the speech or the call center conversation; after the predefining, the associating and detecting, checking whether one or more rules are associated with the one or more detected keywords; if so, processing the one or more rules; and further comprising one of: during the speech, utilizing an intelligent teleprompter and displaying the detected keywords and the information associated with the keywords and dynamically altering one or more panes of information of the intelligent teleprompter based upon the detected one or more keywords; and during the call center conversation, displaying the detected keywords and the information associated with the keywords uttered by a caller to a call center agent and displaying an indication that a topic area has been covered by removing or graying out a displayed word. | 1. A method for dynamically detecting topics during one of a speech and a call center conversation, comprising: predefining one or more keywords; associating information with the one or more keywords; detecting at least one of the one or more keywords during the speech or the call center conversation; after the predefining, the associating and detecting, checking whether one or more rules are associated with the one or more detected keywords; if so, processing the one or more rules; and further comprising one of: during the speech, utilizing an intelligent teleprompter and displaying the detected keywords and the information associated with the keywords and dynamically altering one or more panes of information of the intelligent teleprompter based upon the detected one or more keywords; and during the call center conversation, displaying the detected keywords and the information associated with the keywords uttered by a caller to a call center agent and displaying an indication that a topic area has been covered by removing or graying out a displayed word. 17. The method of claim 1 , wherein the intelligent teleprompter contains one or more panes of information which can be dynamically altered based upon the one or more detected keywords and capturing in audio the conversation. | 0.583333 |
6,031,984 | 1 | 9 | 1. A computer implemented method for optimizing a constraint model and communicating an approximately optimal solution, comprising: generating a current assignment of each variable in the constraint model, wherein: the constraint model is an over-constrained system model having one or more constraints, each having one or more variables; the constraints are selected from the group consisting of linear equations, linear inequalities, linear disequalities, and distance constraints; and each variable in the constraint model is assigned a current value from a domain of the variable; selecting a constraint from a set of unsatisfied constraints; selecting at least one variable of the selected constraint; selecting, for each selected variable, a new value from the domain of the variable; changing the value of each selected variable to its new value to generate a new assignment of variables, in which each variable in the constraint model has either its current value or its new value; storing the new assignment of variables as a best assignment in a set of one or more best assignments if it satisfies all the constraints and is at least as good as a best stored assignment; repeating the steps of selecting a constraint, at least one variable of the selected constraint, and a new value for each selected variable, changing the value of each selected variable to its new value to generate a new assignment, and storing the new assignment until the new assignment satisfies all the constraints and is approximately optimal or until a specified number of iterations has been performed; and in response, communicating at least one best stored assignment or communicating that no assignment satisfying all the constraints was found. | 1. A computer implemented method for optimizing a constraint model and communicating an approximately optimal solution, comprising: generating a current assignment of each variable in the constraint model, wherein: the constraint model is an over-constrained system model having one or more constraints, each having one or more variables; the constraints are selected from the group consisting of linear equations, linear inequalities, linear disequalities, and distance constraints; and each variable in the constraint model is assigned a current value from a domain of the variable; selecting a constraint from a set of unsatisfied constraints; selecting at least one variable of the selected constraint; selecting, for each selected variable, a new value from the domain of the variable; changing the value of each selected variable to its new value to generate a new assignment of variables, in which each variable in the constraint model has either its current value or its new value; storing the new assignment of variables as a best assignment in a set of one or more best assignments if it satisfies all the constraints and is at least as good as a best stored assignment; repeating the steps of selecting a constraint, at least one variable of the selected constraint, and a new value for each selected variable, changing the value of each selected variable to its new value to generate a new assignment, and storing the new assignment until the new assignment satisfies all the constraints and is approximately optimal or until a specified number of iterations has been performed; and in response, communicating at least one best stored assignment or communicating that no assignment satisfying all the constraints was found. 9. The method of claim 1, further comprising repetitively applying a genetic algorithm to an existing population of variable assignments to effect recombination and mutation of members of the existing population chosen on the basis of scores for the corresponding current assignments and to thereby modify the population. | 0.636054 |
8,731,617 | 1 | 4 | 1. A method for initiating voice calls from a communication device, comprising: causing, without user intervention, each number string in text of a data item which matches first predetermined criteria to be displayed in a first format and each number string in the text of the data item which does not match the first predetermined criteria to be displayed in a second format; causing a voice call to be initiated to a number string displayed in the first format when the number string is selected and first predetermined user input is detected; causing a list of user selectable functions to be displayed in response to detecting second predetermined user input when a position marker is located within a number string, the list of user selectable functions including a voice call function for initiating a voice call to the number string when the number string matches second predetermined criteria, wherein the second predetermined criteria are different from the first predetermined criteria; and causing a voice call to be initiated to a number string when the voice call function for the number string is selected from the list of user selectable functions. | 1. A method for initiating voice calls from a communication device, comprising: causing, without user intervention, each number string in text of a data item which matches first predetermined criteria to be displayed in a first format and each number string in the text of the data item which does not match the first predetermined criteria to be displayed in a second format; causing a voice call to be initiated to a number string displayed in the first format when the number string is selected and first predetermined user input is detected; causing a list of user selectable functions to be displayed in response to detecting second predetermined user input when a position marker is located within a number string, the list of user selectable functions including a voice call function for initiating a voice call to the number string when the number string matches second predetermined criteria, wherein the second predetermined criteria are different from the first predetermined criteria; and causing a voice call to be initiated to a number string when the voice call function for the number string is selected from the list of user selectable functions. 4. The method of claim 1 , wherein the first predetermined criteria requires that the number string be within a certain minimum and maximum length range and match one of a number of predetermined patterns, the second predetermined criteria requires only that the number string be within a certain minimum and maximum length range, and the second predetermined criteria is greater than the range of the first predetermined criteria. | 0.5 |
9,225,745 | 1 | 6 | 1. A method comprising: receiving a message via a communications interface in a computing device, the message including a request to perform an action within a proposal system, the proposal system being operable to create a request for proposals based on user input, the request for proposals describing a business need associated with a business entity, the proposal system being further operable to process a plurality of proposal documents received in response to the request for proposals, the request being associated with a user account, wherein the plurality of proposal documents correspond to plans addressing the business need associated with the business entity; determining, via a processor in the computing device, whether the requested action complies with an access policy, wherein the requested action comprises a request to create a designated proposal document in response to the request for proposals; and performing the requested action via the processor when it is determined that the requested action complies with the access policy, wherein performing the requested action comprises creating the designated proposal document based on user input and suggested content, the suggested content being determined by the proposal system, wherein the user account is a member of a first user account group, wherein the access policy identifies a first one or more permitted actions associated with the first user account group, and wherein determining whether the requested action complies with the access policy comprises determining whether the first one or more permitted actions includes the requested action, wherein the user account is a member of a second user account group, and wherein the access policy identifies a second one or more permitted actions associated with the second user account group, wherein determining whether the requested action complies with the access policy further comprises determining whether the second one or more permitted actions includes the requested action, and wherein the requested action is performed when either the first or second one or more permitted actions includes the requested action. | 1. A method comprising: receiving a message via a communications interface in a computing device, the message including a request to perform an action within a proposal system, the proposal system being operable to create a request for proposals based on user input, the request for proposals describing a business need associated with a business entity, the proposal system being further operable to process a plurality of proposal documents received in response to the request for proposals, the request being associated with a user account, wherein the plurality of proposal documents correspond to plans addressing the business need associated with the business entity; determining, via a processor in the computing device, whether the requested action complies with an access policy, wherein the requested action comprises a request to create a designated proposal document in response to the request for proposals; and performing the requested action via the processor when it is determined that the requested action complies with the access policy, wherein performing the requested action comprises creating the designated proposal document based on user input and suggested content, the suggested content being determined by the proposal system, wherein the user account is a member of a first user account group, wherein the access policy identifies a first one or more permitted actions associated with the first user account group, and wherein determining whether the requested action complies with the access policy comprises determining whether the first one or more permitted actions includes the requested action, wherein the user account is a member of a second user account group, and wherein the access policy identifies a second one or more permitted actions associated with the second user account group, wherein determining whether the requested action complies with the access policy further comprises determining whether the second one or more permitted actions includes the requested action, and wherein the requested action is performed when either the first or second one or more permitted actions includes the requested action. 6. The method recited in claim 1 , wherein at least one of the first one or more permitted actions associated with the first user account group is different from each of the one or more permitted actions associated with the second user account group. | 0.707944 |
7,536,374 | 7 | 10 | 7. The method of claim 6 , wherein determining at least one preferred contextual distance further includes: determining a preferred contextual meaning corresponding to the voice input; wherein each of the subset of candidate nodes has an associated contextual distance approximating an optimal contextual distance, such that each of the input nodes has at least one candidate node selected from the subset of candidate nodes, the at least one associated candidate node being the preferred contextual for the corresponding one from the set of input nodes. | 7. The method of claim 6 , wherein determining at least one preferred contextual distance further includes: determining a preferred contextual meaning corresponding to the voice input; wherein each of the subset of candidate nodes has an associated contextual distance approximating an optimal contextual distance, such that each of the input nodes has at least one candidate node selected from the subset of candidate nodes, the at least one associated candidate node being the preferred contextual for the corresponding one from the set of input nodes. 10. The method claim 7 , wherein, if no links are identified as traversing among one of the plurality of candidate nodes and any one of the plurality of context nodes, estimating a distance between each of the plurality of candidate nodes and each of the plurality of context nodes. | 0.5 |
8,543,904 | 20 | 21 | 20. A computer-implemented method of providing a graphical user interface for electronically displaying search results and related information, the method comprising: under the control of one or more computer systems configured with executable instructions, providing for electronic display a presentation surface of an application, the presentation surface comprising at least a first region and a second region, the first region being arranged for display of search results and the second region including a whiteboard; updating for display at least the second region to include information corresponding to one or more first search results of the first region; detecting, in connection with one or more second search results displayed in the first region, a drag and drop operation, between the first region and the second region, for adding information corresponding to the one or more second search results; and responsive to detection of the drag and drop operation, when the drag and drop operation is from the first region to the second region, updating for display at least the whiteboard of the second region to include the information corresponding to the one or more second search results simultaneously with the information corresponding to the one or more first search results of the first region, wherein the information corresponding to the one or more first search results and the information corresponding to the one or more second search results collectively represent two or more information resources represented by corresponding search result of the first region; and when the drag and drop operation is from the second region to the first region, updating at least the first region with search results associated with content of the second region corresponding with the drag and drop operation. | 20. A computer-implemented method of providing a graphical user interface for electronically displaying search results and related information, the method comprising: under the control of one or more computer systems configured with executable instructions, providing for electronic display a presentation surface of an application, the presentation surface comprising at least a first region and a second region, the first region being arranged for display of search results and the second region including a whiteboard; updating for display at least the second region to include information corresponding to one or more first search results of the first region; detecting, in connection with one or more second search results displayed in the first region, a drag and drop operation, between the first region and the second region, for adding information corresponding to the one or more second search results; and responsive to detection of the drag and drop operation, when the drag and drop operation is from the first region to the second region, updating for display at least the whiteboard of the second region to include the information corresponding to the one or more second search results simultaneously with the information corresponding to the one or more first search results of the first region, wherein the information corresponding to the one or more first search results and the information corresponding to the one or more second search results collectively represent two or more information resources represented by corresponding search result of the first region; and when the drag and drop operation is from the second region to the first region, updating at least the first region with search results associated with content of the second region corresponding with the drag and drop operation. 21. The computer-implemented method of claim 20 , wherein the presentation surface is a graphical user interface window. | 0.801325 |
8,914,279 | 2 | 11 | 2. A computer-implemented method, comprising: receiving, at a computing device, a sentence including one or more words; determining, at the computing device, an index set of possible head-modifier dependencies for the sentence, the index set including inner arcs and outer arcs, the inners arcs representing possible head-modifier dependency between words in the sentence separated by a first distance less than or equal to a distance threshold and outer arcs representing possible head-modifier dependency between words in the sentence separated by a second distance greater than the distance threshold; pruning, at the computing device, the index set based on an augmented vine parsing algorithm to obtain a first pruned index set, the first pruned index set including: (i) each specific inner arc when a likelihood that the specific inner arc is appropriate is greater than a first threshold, and (ii) the outer arcs when a likelihood that there exists any possible outer arc that is appropriate is greater than the first threshold; pruning, at the computing device, the first pruned index set based on a second parsing algorithm to obtain a second pruned index set; determining, at the computing device, a most-likely parse for the sentence from the second pruned index set; and outputting, from the computing device, the most-likely parse. | 2. A computer-implemented method, comprising: receiving, at a computing device, a sentence including one or more words; determining, at the computing device, an index set of possible head-modifier dependencies for the sentence, the index set including inner arcs and outer arcs, the inners arcs representing possible head-modifier dependency between words in the sentence separated by a first distance less than or equal to a distance threshold and outer arcs representing possible head-modifier dependency between words in the sentence separated by a second distance greater than the distance threshold; pruning, at the computing device, the index set based on an augmented vine parsing algorithm to obtain a first pruned index set, the first pruned index set including: (i) each specific inner arc when a likelihood that the specific inner arc is appropriate is greater than a first threshold, and (ii) the outer arcs when a likelihood that there exists any possible outer arc that is appropriate is greater than the first threshold; pruning, at the computing device, the first pruned index set based on a second parsing algorithm to obtain a second pruned index set; determining, at the computing device, a most-likely parse for the sentence from the second pruned index set; and outputting, from the computing device, the most-likely parse. 11. The method of claim 2 , wherein: each specific outer arc of the outer arcs corresponds to a specific index including a specific modifier word and a specific potential head word; and the likelihood that there exists any possible outer arc that is appropriate is based on the specific modifier word. | 0.656393 |
8,010,343 | 1 | 2 | 1. A method for generating grammars for use in an interactive application, the method comprising: providing data records to be used in a grammar database, each data record including one or more fields; prior to identifying, in response to a user-issued query, a set of the data records that satisfy the query and on which disambiguation is to be performed, receiving human input specifying on which of the fields of each of the data records homonym and/or synonym disambiguation is to be performed; applying a disambiguation engine to each data record to generate disambiguated data, wherein the disambiguation engine resolves ambiguities relating to at least one homophone and/or at least one synonym in the data in the specified fields; and based on the disambiguated data, generating one or more grammar files for use in the interactive application. | 1. A method for generating grammars for use in an interactive application, the method comprising: providing data records to be used in a grammar database, each data record including one or more fields; prior to identifying, in response to a user-issued query, a set of the data records that satisfy the query and on which disambiguation is to be performed, receiving human input specifying on which of the fields of each of the data records homonym and/or synonym disambiguation is to be performed; applying a disambiguation engine to each data record to generate disambiguated data, wherein the disambiguation engine resolves ambiguities relating to at least one homophone and/or at least one synonym in the data in the specified fields; and based on the disambiguated data, generating one or more grammar files for use in the interactive application. 2. The method of claim 1 , further comprising providing an end-user interactive application that selects appropriate grammars from the one or more grammar files upon receipt of user responses to system prompts. | 0.5 |
8,589,523 | 20 | 21 | 20. The method of claim 9 wherein said step of prompting each user for personal setup information includes presenting a main menu screen and further levels of configuration category screens branching off said main menu screen. | 20. The method of claim 9 wherein said step of prompting each user for personal setup information includes presenting a main menu screen and further levels of configuration category screens branching off said main menu screen. 21. The method of claim 20 further including presenting on said main menu screen a plurality of category menu items each selectable for branching off to a first level one of a corresponding configuration category screen for selecting personal setup information therefrom. | 0.5 |
7,966,603 | 10 | 18 | 10. A system comprising: at least one processor; and at least one memory, wherein the at least one processor and the at least one memory provide operations comprising: selecting a context from a plurality of contexts associated with a plurality of hierarchical software constructs, the context defining a class of content modules included in a construct of the plurality of hierarchical software constructs; retrieving context data for each content module of a plurality of content modules for each software construct of a plurality of hierarchical software constructs, the context data including a primary context identifier identifying a primary context in which the content module was created or modified, at least one secondary context identifier identifying additional secondary contexts in which the content module is permitted to be included, a restriction identifier identifying a class of contexts in which the content module may be used, and a reference count value indicating a number of times the content module is referenced in the plurality of hierarchical software constructs; determining, based on the primary and the at least one secondary context identifiers, whether each content module is permitted in the selected context; determining the reference count value as the number of times the content module is used in the plurality of hierarchical software constructs; storing the reference count value in association with the context data; identifying the content of the content module as valuable content if the reference count value exceeds a threshold value; generating a collection of content modules from the class of content modules based on the selected context, the collection including the plurality of content modules permitted in the selected context based on the determination; and storing the collection. | 10. A system comprising: at least one processor; and at least one memory, wherein the at least one processor and the at least one memory provide operations comprising: selecting a context from a plurality of contexts associated with a plurality of hierarchical software constructs, the context defining a class of content modules included in a construct of the plurality of hierarchical software constructs; retrieving context data for each content module of a plurality of content modules for each software construct of a plurality of hierarchical software constructs, the context data including a primary context identifier identifying a primary context in which the content module was created or modified, at least one secondary context identifier identifying additional secondary contexts in which the content module is permitted to be included, a restriction identifier identifying a class of contexts in which the content module may be used, and a reference count value indicating a number of times the content module is referenced in the plurality of hierarchical software constructs; determining, based on the primary and the at least one secondary context identifiers, whether each content module is permitted in the selected context; determining the reference count value as the number of times the content module is used in the plurality of hierarchical software constructs; storing the reference count value in association with the context data; identifying the content of the content module as valuable content if the reference count value exceeds a threshold value; generating a collection of content modules from the class of content modules based on the selected context, the collection including the plurality of content modules permitted in the selected context based on the determination; and storing the collection. 18. The system of claim 10 , wherein the plurality of hierarchical software constructs are related by an inheritance sequence whereby the availability of an inherited content module is restricted based on the context of the content of the content module superior in the inheritance sequence. | 0.565672 |
8,768,059 | 16 | 17 | 16. The computing device of claim 15 wherein the geometrical properties on which the at least one of the candidate inter-character breaks is classified further include a size of the respective candidate inter-character break and its neighboring breaks relative to an average break size for the at least one textual line. | 16. The computing device of claim 15 wherein the geometrical properties on which the at least one of the candidate inter-character breaks is classified further include a size of the respective candidate inter-character break and its neighboring breaks relative to an average break size for the at least one textual line. 17. The computing device of claim 16 wherein the geometrical properties on which the at least one of the candidate inter-character breaks is classified further include a degree of regularity in estimated character widths for the candidate character. | 0.5 |
7,788,648 | 9 | 15 | 9. A computer-readable storage medium comprising instructions for causing a programmable processor to: receive a resource file for a released computer program that includes a first set of text strings in a base language that are used to display one or more text message on a graphical user interface during execution of the released computer program; receive processing instructions that define a process for transforming the first set of text strings of the resource file into a first runtime resource file for the released computer program; receive a second set of text strings in a target language, wherein the second set of text strings is platform-independent and comprises translations of the first set of text strings in the target language, wherein the second set of text strings corresponds to a valid International Organization for Standardization (ISO) language code and ISO country code that indicates the target language; determine changes made to at least one of the first set of text strings in the resource file after receiving the second set of text strings; translate the at least one text string into the target language; produce a second runtime resource file for the released computer program comprising the second set of text strings according to the received processing instructions that were used for transforming the first set of text strings of the resource file into the first runtime resource file for the released computer program; and execute the released computer program, wherein the instructions to execute the released computer program comprise instructions to load the first runtime resource file and the second runtime resource file, receive a language selection comprising a selection of either the base language or the target language, and display a text string from either the first set of text strings or the second set of text strings according to the received language selection. | 9. A computer-readable storage medium comprising instructions for causing a programmable processor to: receive a resource file for a released computer program that includes a first set of text strings in a base language that are used to display one or more text message on a graphical user interface during execution of the released computer program; receive processing instructions that define a process for transforming the first set of text strings of the resource file into a first runtime resource file for the released computer program; receive a second set of text strings in a target language, wherein the second set of text strings is platform-independent and comprises translations of the first set of text strings in the target language, wherein the second set of text strings corresponds to a valid International Organization for Standardization (ISO) language code and ISO country code that indicates the target language; determine changes made to at least one of the first set of text strings in the resource file after receiving the second set of text strings; translate the at least one text string into the target language; produce a second runtime resource file for the released computer program comprising the second set of text strings according to the received processing instructions that were used for transforming the first set of text strings of the resource file into the first runtime resource file for the released computer program; and execute the released computer program, wherein the instructions to execute the released computer program comprise instructions to load the first runtime resource file and the second runtime resource file, receive a language selection comprising a selection of either the base language or the target language, and display a text string from either the first set of text strings or the second set of text strings according to the received language selection. 15. The computer-readable medium of claim 9 , further comprising instructions to copy the second runtime resource file to an installation directory of the released computer program. | 0.861196 |
9,177,551 | 1 | 9 | 1. A method comprising: receiving, via touch provided on a touch screen of a device, an indication associated with a specific field displayed in a user interface on the touch screen, the indication signaling that speech, which is associated with the specific field, will follow; receiving the speech via the device and generating speech data based on the speech; generating, by the device, a request for speech recognition, wherein the request comprises: (1) an application identifier identifying a speech recognizer on a public network node; (2) a location parameter specific to a current location of the device, the device being associated with a speaker of the speech; and (3) a grammar parameter associated with a home location of the speaker of the speech, the grammar parameter identifying a particular grammar; transmitting the speech data and the request to the public network node for speech recognition using the speech recognizer; receiving, at the device, text associated with the speech data from the speech recognizer; and inserting the text into the specific field. | 1. A method comprising: receiving, via touch provided on a touch screen of a device, an indication associated with a specific field displayed in a user interface on the touch screen, the indication signaling that speech, which is associated with the specific field, will follow; receiving the speech via the device and generating speech data based on the speech; generating, by the device, a request for speech recognition, wherein the request comprises: (1) an application identifier identifying a speech recognizer on a public network node; (2) a location parameter specific to a current location of the device, the device being associated with a speaker of the speech; and (3) a grammar parameter associated with a home location of the speaker of the speech, the grammar parameter identifying a particular grammar; transmitting the speech data and the request to the public network node for speech recognition using the speech recognizer; receiving, at the device, text associated with the speech data from the speech recognizer; and inserting the text into the specific field. 9. The method of claim 1 , wherein the application identifier is only released to registered users. | 0.814607 |
7,484,185 | 1 | 3 | 1. A method for displaying a multilevel treeview of hierarchical information within a pane of a computer display window, comprising: searching an information hierarchy for a plurality of occurrences of a specified information element of the information hierarchy, based upon a search criteria; displaying within the pane the multilevel treeview of the information hierarchy; displaying within the multilevel treeview an indicator which indicates whether a displayed element of the information hierarchy comprises sub-elements, on one side of the multilevel treeview; indicating within the multilevel treeview locations of the plurality of found occurrences of the specified information element; graphically connecting via a graphical connection, only the plurality of occurrences of the specified information element within the multilevel treeview, the graphical connection being positioned on an opposite side from the indicator with respect to the multilevel treeview, and comprising: a plurality of horizontal lines extending outward from each displayed found occurrence of the specified information element, and a vertical line positioned to intersect an outward end of each of the plurality of horizontal lines, the vertical line being terminated between a horizontal line corresponding to a first displayed found occurrence of the specified information element and a last displayed found occurrence of the specified information element; selecting an occurrence of the specified information element within the multilevel treeview; and displaying a pop-up menu positioned directly beneath the selected occurrence of the specified information element, the pop-up menu comprising: statistical information on the total number of occurrences of the specified information element, and a link to a next occurrence of the specified information element. | 1. A method for displaying a multilevel treeview of hierarchical information within a pane of a computer display window, comprising: searching an information hierarchy for a plurality of occurrences of a specified information element of the information hierarchy, based upon a search criteria; displaying within the pane the multilevel treeview of the information hierarchy; displaying within the multilevel treeview an indicator which indicates whether a displayed element of the information hierarchy comprises sub-elements, on one side of the multilevel treeview; indicating within the multilevel treeview locations of the plurality of found occurrences of the specified information element; graphically connecting via a graphical connection, only the plurality of occurrences of the specified information element within the multilevel treeview, the graphical connection being positioned on an opposite side from the indicator with respect to the multilevel treeview, and comprising: a plurality of horizontal lines extending outward from each displayed found occurrence of the specified information element, and a vertical line positioned to intersect an outward end of each of the plurality of horizontal lines, the vertical line being terminated between a horizontal line corresponding to a first displayed found occurrence of the specified information element and a last displayed found occurrence of the specified information element; selecting an occurrence of the specified information element within the multilevel treeview; and displaying a pop-up menu positioned directly beneath the selected occurrence of the specified information element, the pop-up menu comprising: statistical information on the total number of occurrences of the specified information element, and a link to a next occurrence of the specified information element. 3. The method of claim 1 , wherein indicating the locations of the plurality of found occurrences of the specified information element includes highlighting the plurality of found occurrences of the specified information element within the multilevel treeview. | 0.672544 |
9,363,288 | 12 | 13 | 12. The system of claim 11 , wherein the tokenizing authority server is further configured to: generate and transmit a set of key information for encrypting or decrypting the data pertaining to the domain name to the requester. | 12. The system of claim 11 , wherein the tokenizing authority server is further configured to: generate and transmit a set of key information for encrypting or decrypting the data pertaining to the domain name to the requester. 13. The system of claim 12 , wherein the tokenized list holder is further configured to— determine whether the encrypted data is available, and return the encrypted data. | 0.579208 |
9,894,266 | 11 | 12 | 11. The method as claimed in claim 10 , further comprising: configuring a processing device to further receive a recording of said live event, analyzing at said processing device, aspects of said recording, and automatically sharing said recording via a network connection with other individuals based on said analysis. | 11. The method as claimed in claim 10 , further comprising: configuring a processing device to further receive a recording of said live event, analyzing at said processing device, aspects of said recording, and automatically sharing said recording via a network connection with other individuals based on said analysis. 12. The method as claimed in claim 11 , wherein said analyzing aspects of said recording comprises one or more of: tagging or annotating key features/personnel with said recorded event content; and characterizing the recorded event as being personal to the individual or work-related, and based on that characterization, sharing the recorded event with a social contact or work related contact associated with the individual via a network communication. | 0.5 |
9,860,337 | 6 | 17 | 6. A method of identifying different opinions in network content, the method comprising: generating opinion data regarding a plurality of content pages retrieved from a plurality of content sources, wherein opinion data regarding each content page reflects an opinion in the content page regarding a topic of the content page, and wherein opinion data regarding each content page further reflects a classification of the opinion as one of a positive opinion, a neutral opinion, or a negative opinion regarding the topic of the content page; providing, to a client computing device, a first content page reflecting a first opinion regarding a first topic, wherein the client computing device presents the first content page with a first option to access a content page associated with an opinion regarding the first topic differing in classification from the first opinion; receiving, from the client computing device, data corresponding to activation of the first option; identifying, based at least partly on the opinion data, one or more content pages associated with opinions regarding the first topic, the opinions differing in classification, as one of a positive opinion, a neutral opinion, or a negative opinion, from a classification of the first opinion; providing, to the client computing device, a second content page of the one or more content pages, the second content page associated with a second opinion differing in classification from the first opinion, wherein the client computing device presents a second option to submit feedback regarding at least one of the first opinion or the second opinion; and using the feedback to classify at least one of the first opinion or the second opinion; said method performed in its entirety by a computing system that comprises one or more computing devices. | 6. A method of identifying different opinions in network content, the method comprising: generating opinion data regarding a plurality of content pages retrieved from a plurality of content sources, wherein opinion data regarding each content page reflects an opinion in the content page regarding a topic of the content page, and wherein opinion data regarding each content page further reflects a classification of the opinion as one of a positive opinion, a neutral opinion, or a negative opinion regarding the topic of the content page; providing, to a client computing device, a first content page reflecting a first opinion regarding a first topic, wherein the client computing device presents the first content page with a first option to access a content page associated with an opinion regarding the first topic differing in classification from the first opinion; receiving, from the client computing device, data corresponding to activation of the first option; identifying, based at least partly on the opinion data, one or more content pages associated with opinions regarding the first topic, the opinions differing in classification, as one of a positive opinion, a neutral opinion, or a negative opinion, from a classification of the first opinion; providing, to the client computing device, a second content page of the one or more content pages, the second content page associated with a second opinion differing in classification from the first opinion, wherein the client computing device presents a second option to submit feedback regarding at least one of the first opinion or the second opinion; and using the feedback to classify at least one of the first opinion or the second opinion; said method performed in its entirety by a computing system that comprises one or more computing devices. 17. The method of claim 6 , further comprising: receiving, from the client computing device, a request for the differing opinion data, wherein the one or more content pages are identified in response to the request. | 0.62931 |
8,564,541 | 27 | 28 | 27. The method of claim 26 , wherein the second key plane further includes a set of tone marks associated with the phonetic alphabet. | 27. The method of claim 26 , wherein the second key plane further includes a set of tone marks associated with the phonetic alphabet. 28. The method of claim 27 , wherein both the first and the second key planes include a set of medial phonetic symbols of the phonetic alphabet. | 0.5 |
9,026,533 | 1 | 2 | 1. A method of providing services in a network, the method comprising: sending a service request from a service requesting network element to a service matching network element, the service matching network element storing structured service documents defining available services in a database and the service request comprising a structured request document containing a plurality of nodes; at the service matching network element: receiving the service request; forming a Path and Parent Associated Node (PPAN) element for each node in the structured request document, each PPAN element being a data structure containing a path level of a current node in the structured request document, a name and value pair associated with the current element, and a name and value pair of a parent element of the current element, the PPAN element not containing additional information about structure of the structured request document other than the path level of the current node and the parent-child relationship of the current node and its parent node; using the PPAN elements from the structured request document to identify a subset of the stored structured service documents that contain data and structure that match the PPAN elements; and sending to the service requesting network element, at least part of a structured service document in the identified subset of structured service documents; at the service requesting network element: receiving the at least part of the structured service document; and using the at least part of the structured service document to access a service defined by the at least part of the structured service document. | 1. A method of providing services in a network, the method comprising: sending a service request from a service requesting network element to a service matching network element, the service matching network element storing structured service documents defining available services in a database and the service request comprising a structured request document containing a plurality of nodes; at the service matching network element: receiving the service request; forming a Path and Parent Associated Node (PPAN) element for each node in the structured request document, each PPAN element being a data structure containing a path level of a current node in the structured request document, a name and value pair associated with the current element, and a name and value pair of a parent element of the current element, the PPAN element not containing additional information about structure of the structured request document other than the path level of the current node and the parent-child relationship of the current node and its parent node; using the PPAN elements from the structured request document to identify a subset of the stored structured service documents that contain data and structure that match the PPAN elements; and sending to the service requesting network element, at least part of a structured service document in the identified subset of structured service documents; at the service requesting network element: receiving the at least part of the structured service document; and using the at least part of the structured service document to access a service defined by the at least part of the structured service document. 2. The method of claim 1 , comprising: creating a structured service document defining an available service at the service matching network element on behalf of a service providing network element; and storing the created structured service document at the service matching network element. | 0.732965 |
9,025,890 | 1 | 4 | 1. An information classification device for analyzing a configuration of data containing character information, comprising: character information extracting means for extracting predetermined character strings from the character information of the data; labeling means for converting the extracted character strings into a series of label strings by replacing each of the extracted character strings with a label indicating a class of the character string; and label appearance pattern estimating means for estimating an appearance pattern that is defined as a set of different labels repeatedly appearing in the label strings obtained by the labeling means, wherein the labeling means converts the extracted character strings into the series of label strings by converting the extracted character strings into initial label strings, identifying, in the initial label strings, any series of the same label appearing at least twice in a row, and replacing any of the series of the same label with a single label, such that in resultant series of label strings, two or more of the same labels do not appear adjacently; and further comprising: correspondence information storing means for storing correspondence information defining correspondence between classes of the extracted character strings and the labels to replace the character strings, wherein the labeling means replaces, based on the correspondence information, the extracted character string with the label for each class, and wherein: the correspondence information defines, for each of the extracted character strings, correspondence regarding a broader class or a narrower class relative to the class of classified character string; and the information classification device further comprises character information classifying means, the character information classifying means correlating, based on the correspondence information, each label represented by the estimated appearance pattern with an optional class of each of the character strings before the replacement, a broader class relative to the optional class, or a narrower class relative to the optional class, and selecting suitable character information suited to a predetermined combination to classify the character strings extracted from the data. | 1. An information classification device for analyzing a configuration of data containing character information, comprising: character information extracting means for extracting predetermined character strings from the character information of the data; labeling means for converting the extracted character strings into a series of label strings by replacing each of the extracted character strings with a label indicating a class of the character string; and label appearance pattern estimating means for estimating an appearance pattern that is defined as a set of different labels repeatedly appearing in the label strings obtained by the labeling means, wherein the labeling means converts the extracted character strings into the series of label strings by converting the extracted character strings into initial label strings, identifying, in the initial label strings, any series of the same label appearing at least twice in a row, and replacing any of the series of the same label with a single label, such that in resultant series of label strings, two or more of the same labels do not appear adjacently; and further comprising: correspondence information storing means for storing correspondence information defining correspondence between classes of the extracted character strings and the labels to replace the character strings, wherein the labeling means replaces, based on the correspondence information, the extracted character string with the label for each class, and wherein: the correspondence information defines, for each of the extracted character strings, correspondence regarding a broader class or a narrower class relative to the class of classified character string; and the information classification device further comprises character information classifying means, the character information classifying means correlating, based on the correspondence information, each label represented by the estimated appearance pattern with an optional class of each of the character strings before the replacement, a broader class relative to the optional class, or a narrower class relative to the optional class, and selecting suitable character information suited to a predetermined combination to classify the character strings extracted from the data. 4. An information classification device according to claim 1 , wherein the character information extracting means comprises extraction information storing means for storing extraction information to extract the character strings from the character information of the data, and extracts the character strings from the character information of the data based on the extraction information. | 0.581169 |
8,090,873 | 1 | 3 | 1. A method for processing messages, the method comprising the steps of: a computer system: receiving, from a plurality of different data sources in a data network, a plurality of data messages each having a data type associated therewith and comprising a payload, wherein the plurality of data messages comprises different data formats; for each of the data messages, determining a classification of the data message by parsing out information identifying the data type; re-formatting each of the data messages, each of the re-formatted messages having a uniform data structure comprising an identifier, the classification, and the payload; selecting a message service queue for each of the reformatted messages from a plurality of message service queues each dedicated to storing messages of a particular data type according to the classifications of the reformatted messages such that each of the selected service queues store a subset of the reformatted messages of a single data type; with a parsing processor, monitoring the plurality of message service queues; and with a parsing processor, selecting one of the message service queues based on the monitoring and then retrieving and parsing a next one of the reformatted messages from the selected one of the message service queues in accordance with a target output data model, wherein the parsing processor comprises a plurality of parsers each operable to parse data messages having a different data type and wherein the parsing processor parses the next one of the reformatted messages using one of the plurality of parsers that is configured for parsing the data type associated with the selected service queue and is dynamically selected and allocated during the parsing step, wherein the parsing processor, during the parsing step, selects one of the parsers to use for parsing the next one of the reformatted messages based on the data type and at least one parsing rule applied to one or more characteristics of the next one of the reformatted messages and wherein the plurality of parsers includes at least two parsers adapted for parsing the data type associated with the selected service queue, and wherein the parsing includes extracting a subset of information in the payload of the next one of the reformatted messages defined in the target output data model, whereby throughput of the parsing processor is enhanced by extracting only select information from each of the data messages. | 1. A method for processing messages, the method comprising the steps of: a computer system: receiving, from a plurality of different data sources in a data network, a plurality of data messages each having a data type associated therewith and comprising a payload, wherein the plurality of data messages comprises different data formats; for each of the data messages, determining a classification of the data message by parsing out information identifying the data type; re-formatting each of the data messages, each of the re-formatted messages having a uniform data structure comprising an identifier, the classification, and the payload; selecting a message service queue for each of the reformatted messages from a plurality of message service queues each dedicated to storing messages of a particular data type according to the classifications of the reformatted messages such that each of the selected service queues store a subset of the reformatted messages of a single data type; with a parsing processor, monitoring the plurality of message service queues; and with a parsing processor, selecting one of the message service queues based on the monitoring and then retrieving and parsing a next one of the reformatted messages from the selected one of the message service queues in accordance with a target output data model, wherein the parsing processor comprises a plurality of parsers each operable to parse data messages having a different data type and wherein the parsing processor parses the next one of the reformatted messages using one of the plurality of parsers that is configured for parsing the data type associated with the selected service queue and is dynamically selected and allocated during the parsing step, wherein the parsing processor, during the parsing step, selects one of the parsers to use for parsing the next one of the reformatted messages based on the data type and at least one parsing rule applied to one or more characteristics of the next one of the reformatted messages and wherein the plurality of parsers includes at least two parsers adapted for parsing the data type associated with the selected service queue, and wherein the parsing includes extracting a subset of information in the payload of the next one of the reformatted messages defined in the target output data model, whereby throughput of the parsing processor is enhanced by extracting only select information from each of the data messages. 3. The method of claim 1 wherein the step of receiving the data message comprises the steps of: the computer system: receiving an email message from a message server; and processing the email message by extracting the data type and the payload. | 0.637982 |
10,152,968 | 10 | 16 | 10. A system comprising: at least one memory for storing computer-executable instructions; and at least one processing unit for executing the instructions, wherein execution of the instructions causes the at least one processing unit to perform operations comprising: inferring, based on data indicating locations of a plurality of automation devices and on a location associated with a user, that first speech of the user is directed to a particular automation device of a particular type, wherein the particular automation device is installed and operating at one of the indicated locations, and wherein the location of the particular automation device is proximate to the location associated with the user while the user is uttering the first speech; selecting a topic-specific speech recognition model adapted to recognize speech related to the determined type of automation device, using the topic-specific speech recognition model to recognize second speech provided at the location, wherein recognizing the second speech comprises identifying a query or command relating to the type of automation device and represented by the second speech, and issuing the query or command represented by the second speech to the particular automation device of the particular type, thereby prompting the particular automation device to perform an act responsive to the command or query, wherein the type of automation device is a manufacturing process control type, an industrial process control type, an energy-production process control type, a water treatment process control type, an environmental regulation process control type, and/or a utility process control type. | 10. A system comprising: at least one memory for storing computer-executable instructions; and at least one processing unit for executing the instructions, wherein execution of the instructions causes the at least one processing unit to perform operations comprising: inferring, based on data indicating locations of a plurality of automation devices and on a location associated with a user, that first speech of the user is directed to a particular automation device of a particular type, wherein the particular automation device is installed and operating at one of the indicated locations, and wherein the location of the particular automation device is proximate to the location associated with the user while the user is uttering the first speech; selecting a topic-specific speech recognition model adapted to recognize speech related to the determined type of automation device, using the topic-specific speech recognition model to recognize second speech provided at the location, wherein recognizing the second speech comprises identifying a query or command relating to the type of automation device and represented by the second speech, and issuing the query or command represented by the second speech to the particular automation device of the particular type, thereby prompting the particular automation device to perform an act responsive to the command or query, wherein the type of automation device is a manufacturing process control type, an industrial process control type, an energy-production process control type, a water treatment process control type, an environmental regulation process control type, and/or a utility process control type. 16. The system of claim 10 , wherein inferring the particular automation device to which the first speech is directed is performed before the first speech is uttered. | 0.881259 |
8,150,885 | 12 | 17 | 12. An organization system for cross-referencing data within a searchable database, wherein a directory tree structure is stored on a memory device and includes nodes and branches comprising links between the nodes, the directory tree structure including a designated category for each node, the organization system comprising: means for generating at least two data pointers corresponding to a specific node, wherein a first data pointer of the at least two data pointers points from the specific node to a first item of data within the searchable database via a first navigation path through the directory tree structure, wherein a second data pointer of the at least two data pointers points from the specific node to a second item of data within the searchable database via a second navigation path through the directory tree structure, and wherein the first and second items of data are related to the designated category of the specific node; and means for generating at least one node pointer, wherein the at least one node pointer points from a first node located in the first navigation path to a second node located in the second navigation path, wherein the first navigation path is different from the second navigation path, wherein the first node and the second node are each different from the specific node; wherein, at each node within the directory tree structure, the searchable database is searchable by selecting any data pointers or node pointers corresponding to the node or by performing one or more of a keyword search, a hierarchical search, a dichotomous key search, and a parametric search. | 12. An organization system for cross-referencing data within a searchable database, wherein a directory tree structure is stored on a memory device and includes nodes and branches comprising links between the nodes, the directory tree structure including a designated category for each node, the organization system comprising: means for generating at least two data pointers corresponding to a specific node, wherein a first data pointer of the at least two data pointers points from the specific node to a first item of data within the searchable database via a first navigation path through the directory tree structure, wherein a second data pointer of the at least two data pointers points from the specific node to a second item of data within the searchable database via a second navigation path through the directory tree structure, and wherein the first and second items of data are related to the designated category of the specific node; and means for generating at least one node pointer, wherein the at least one node pointer points from a first node located in the first navigation path to a second node located in the second navigation path, wherein the first navigation path is different from the second navigation path, wherein the first node and the second node are each different from the specific node; wherein, at each node within the directory tree structure, the searchable database is searchable by selecting any data pointers or node pointers corresponding to the node or by performing one or more of a keyword search, a hierarchical search, a dichotomous key search, and a parametric search. 17. The organization system as claimed in claim 12 , further comprising means for arranging the first and second items of data for display as an encyclopedia page, wherein the encyclopedia page includes one or more of the group consisting of text, graphics, objects, audio, video, links to one or more other encyclopedia pages within the directory tree structure, and links to one or more web sites external to the directory tree structure. | 0.5 |
9,798,722 | 1 | 8 | 1. A method, comprising: establishing, by a processor, a communication, wherein the communication includes an audio communication from a first communication device; receiving, by the processor, an audio stream from the first communication device, wherein the audio stream comprises speech of a plurality of users of the first communication device; translating, by the processor, speech from the audio stream from the first communication device into a plurality of text streams, wherein the plurality of text streams are in different languages, and wherein each of the plurality of text streams in the different languages are directly translated from the audio stream from the first communication device; filtering, by the processor, a specific translated word, in a specific language, from a specific user of the plurality of users, in a specific one of the plurality of text steams based on a user definable list; and transmitting, by the processor, the plurality of text streams to at least one communication device involved in the communication. | 1. A method, comprising: establishing, by a processor, a communication, wherein the communication includes an audio communication from a first communication device; receiving, by the processor, an audio stream from the first communication device, wherein the audio stream comprises speech of a plurality of users of the first communication device; translating, by the processor, speech from the audio stream from the first communication device into a plurality of text streams, wherein the plurality of text streams are in different languages, and wherein each of the plurality of text streams in the different languages are directly translated from the audio stream from the first communication device; filtering, by the processor, a specific translated word, in a specific language, from a specific user of the plurality of users, in a specific one of the plurality of text steams based on a user definable list; and transmitting, by the processor, the plurality of text streams to at least one communication device involved in the communication. 8. The method of claim 1 , wherein the communication further comprises one of: a communication between a user and a voice mail menu, an auto-attendant, a music/voice on hold system, an Interactive Voice Response (IVR) system or a reverse 911 system. | 0.682398 |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.