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9,400,827 | 3 | 5 | 3. The method according to claim 1 , wherein said establishing comprises defining search environment parameters involved in the search. | 3. The method according to claim 1 , wherein said establishing comprises defining search environment parameters involved in the search. 5. The method according to claim 3 , wherein said defining comprises identifying metadata descriptions associated with each asset, wherein the user search query is dynamically created for a database using the metadata description during the establishing of the search configuration. | 0.501767 |
9,055,414 | 13 | 18 | 13. A computer readable storage device comprising instructions that when executed perform a method, comprising: configuring a text messaging pipeline to order two or more pipeline modules comprised in the text messaging pipeline, the ordering comprising ordering a non-translation module of the two or more pipeline modules in the text messaging pipeline and a translation module of the two or more pipeline modules in the text messaging pipeline such that execution of the non-translation module in relation to a text message is performed prior to execution of the translation module in relation to the text message based upon a determination that using the non-translation module prior to using the translation module results in a first use of resources and using the translation module prior to using the non-translation module results in a second use of resources, the first use of resources less than the second use of resources. | 13. A computer readable storage device comprising instructions that when executed perform a method, comprising: configuring a text messaging pipeline to order two or more pipeline modules comprised in the text messaging pipeline, the ordering comprising ordering a non-translation module of the two or more pipeline modules in the text messaging pipeline and a translation module of the two or more pipeline modules in the text messaging pipeline such that execution of the non-translation module in relation to a text message is performed prior to execution of the translation module in relation to the text message based upon a determination that using the non-translation module prior to using the translation module results in a first use of resources and using the translation module prior to using the non-translation module results in a second use of resources, the first use of resources less than the second use of resources. 18. The computer readable storage device of claim 13 , the text message comprising an SMS message. | 0.90411 |
9,066,046 | 11 | 12 | 11. The method of claim 1 wherein the operation of identifying the specified text further comprising the operation of identifying a preceding text, the preceding text temporally preceding the specified text. | 11. The method of claim 1 wherein the operation of identifying the specified text further comprising the operation of identifying a preceding text, the preceding text temporally preceding the specified text. 12. The method of claim 11 wherein the comparative form of the specified text includes the preceding text from the closed caption signal. | 0.5 |
9,514,216 | 16 | 19 | 16. An article comprising: a non-transitory computer readable medium having computer implementable instructions stored thereon to be implemented by one or more processing units in a computing device to transform the computing device into a special purpose device to: access a plurality of segmented portions of at least one of a plurality of web pages to be displayable by one or more digital signals of one or more files stored in a memory, wherein a particular web page of the plurality of web pages is to comprise at least two of the plurality of segmented portions; use one or more machine learned models to: identify one or more feature properties of the plurality of segmented portions within the one or more files, or otherwise to be inferable from the one or more files, classify the at least two of the plurality of segmented portions as at least one of a plurality of segment types to be based, at least in part, on the one or more identified feature properties, the one or more feature properties to be identified are to comprise at least language feature properties of language model of content to be displayed in one or more of the at least two of the plurality of segmented portions, and determine content quality scores for at least two of the plurality of segmented portions of at least the particular web page; and establish one or more digital signals to represent an index within a memory to be coupled to the one or more processing units, the index to be established for the plurality of segmented portions and to be based, at least in part, on the segment type, the index to indicate the content quality scores. | 16. An article comprising: a non-transitory computer readable medium having computer implementable instructions stored thereon to be implemented by one or more processing units in a computing device to transform the computing device into a special purpose device to: access a plurality of segmented portions of at least one of a plurality of web pages to be displayable by one or more digital signals of one or more files stored in a memory, wherein a particular web page of the plurality of web pages is to comprise at least two of the plurality of segmented portions; use one or more machine learned models to: identify one or more feature properties of the plurality of segmented portions within the one or more files, or otherwise to be inferable from the one or more files, classify the at least two of the plurality of segmented portions as at least one of a plurality of segment types to be based, at least in part, on the one or more identified feature properties, the one or more feature properties to be identified are to comprise at least language feature properties of language model of content to be displayed in one or more of the at least two of the plurality of segmented portions, and determine content quality scores for at least two of the plurality of segmented portions of at least the particular web page; and establish one or more digital signals to represent an index within a memory to be coupled to the one or more processing units, the index to be established for the plurality of segmented portions and to be based, at least in part, on the segment type, the index to indicate the content quality scores. 19. The article as recited in claim 16 , wherein at least one of the one or more machine learned models is to operate in an unsupervised mode and is to identify one or more digital signals to represent a vector space representation as one of the feature properties. | 0.786634 |
9,971,849 | 8 | 11 | 8. A non-transitory computer-readable medium that contains computer program instructions, the execution of the computer program instructions by at least one data processor results in performance of operations that comprise: receiving first data at a service from a client application, the received first data comprising information descriptive of at least one field of a data assemblage used by the client application and partial data having at least one value that constrains the at least one field, where the data assemblage is comprised of a form containing the at least one field that is to be displayed by the client application to a user with a user interface of the client application, the at least one field being one in which the user of the client application will enter user data into the displayed form to be validated by the client application; processing the received first data at the service to form an array comprised of legal data for the at least one field, the array being formed by merging a result of processing syntactic constraints to define field type information for the at least one field and a result of processing semantic constraints to define legal values for the at least one field based at least on the partial data; and outputting the array formed by the merging of the result of processing syntactic constraints and the result of processing semantic constraints from the service to the client application such that the client application is configured to generate the form based on both the field type information and the legal values in the array for the at least one field such that the client application is enabled to validate user data that is subsequently entered by the user into the at least one field; where in response to the client application iterating over a workflow associated with the outputted array formed by the merging of the result of processing syntactic constraints and the result of processing semantic constraints, receiving at the service from the client application a request for more legal data for at least one co-constrained field of the form that is displayed to the user that was not previously specified by the client application in the received first data. | 8. A non-transitory computer-readable medium that contains computer program instructions, the execution of the computer program instructions by at least one data processor results in performance of operations that comprise: receiving first data at a service from a client application, the received first data comprising information descriptive of at least one field of a data assemblage used by the client application and partial data having at least one value that constrains the at least one field, where the data assemblage is comprised of a form containing the at least one field that is to be displayed by the client application to a user with a user interface of the client application, the at least one field being one in which the user of the client application will enter user data into the displayed form to be validated by the client application; processing the received first data at the service to form an array comprised of legal data for the at least one field, the array being formed by merging a result of processing syntactic constraints to define field type information for the at least one field and a result of processing semantic constraints to define legal values for the at least one field based at least on the partial data; and outputting the array formed by the merging of the result of processing syntactic constraints and the result of processing semantic constraints from the service to the client application such that the client application is configured to generate the form based on both the field type information and the legal values in the array for the at least one field such that the client application is enabled to validate user data that is subsequently entered by the user into the at least one field; where in response to the client application iterating over a workflow associated with the outputted array formed by the merging of the result of processing syntactic constraints and the result of processing semantic constraints, receiving at the service from the client application a request for more legal data for at least one co-constrained field of the form that is displayed to the user that was not previously specified by the client application in the received first data. 11. The computer-readable medium of claim 8 , where the array that is output to the client application is formed so as to complement the legal values for the at least one field with results of constraints on at least one of data values, (inter-)dependencies, co-constraints and data state transitions. | 0.5 |
9,367,490 | 2 | 3 | 2. A method as described in claim 1 , wherein detecting connection of the connector comprises sampling the signals conveyed via the pair of detection pins together and combining values that are obtained via the pair of detection pins to derive the logic state combination. | 2. A method as described in claim 1 , wherein detecting connection of the connector comprises sampling the signals conveyed via the pair of detection pins together and combining values that are obtained via the pair of detection pins to derive the logic state combination. 3. A method as described in claim 2 , wherein sampling the signals conveyed via the pair of detection pins together comprises sampling the signals in parallel. | 0.5 |
8,923,630 | 11 | 15 | 11. A data mining system, comprising: an input configured to receive receiving a set of multimodal data objects comprising semantically interrelated information of a first type and information of a second type, each of the first type and the second type being different and being selected from the group consisting of image information, audio information, video information, and semantic information; an automated processor, configured to: represent at least the first type of information of the multimodal data objects as feature vectors within a feature space comprising the first type of information and the second type of information, and the semantic interrelation between the first type of information and the second type of information; cluster the feature vectors according to at least one clustering criterion, to thereby determine a classification of the respective feature vectors; associate data objects comprising information of a third type semantically interrelated to the second type of information, selected from the group consisting of images, audio, video and semantic information, wherein the type of information of the third type is distinct from the type of information of the first type, with respective multimodal data objects based on the clustering; estimate a joint feature representation of the set of multimodal data objects and the associated data objects; optimize the joint feature representation to provide a structured output space of interdependent objects, based on at least a prediction error criterion, by iteratively solving a dual problem by selectively partitioning data objects into a working set and a non-working set, comprising: moving the data objects in the non-working set that can be moved without changing an objective function to the working set, and moving the data objects in the working set that can be moved with a decrease in the objective function to the non-working set; receive a query represented according to the first type of information; and identify data objects from the set of multimodal data objects that correspond to the query by the at least one automated processor, based on at least the structured output space of interdependent multimodal objects; and an output port from the automated processor, configured to communicate at least one of the identified data objects and identifiers of the identified data objects. | 11. A data mining system, comprising: an input configured to receive receiving a set of multimodal data objects comprising semantically interrelated information of a first type and information of a second type, each of the first type and the second type being different and being selected from the group consisting of image information, audio information, video information, and semantic information; an automated processor, configured to: represent at least the first type of information of the multimodal data objects as feature vectors within a feature space comprising the first type of information and the second type of information, and the semantic interrelation between the first type of information and the second type of information; cluster the feature vectors according to at least one clustering criterion, to thereby determine a classification of the respective feature vectors; associate data objects comprising information of a third type semantically interrelated to the second type of information, selected from the group consisting of images, audio, video and semantic information, wherein the type of information of the third type is distinct from the type of information of the first type, with respective multimodal data objects based on the clustering; estimate a joint feature representation of the set of multimodal data objects and the associated data objects; optimize the joint feature representation to provide a structured output space of interdependent objects, based on at least a prediction error criterion, by iteratively solving a dual problem by selectively partitioning data objects into a working set and a non-working set, comprising: moving the data objects in the non-working set that can be moved without changing an objective function to the working set, and moving the data objects in the working set that can be moved with a decrease in the objective function to the non-working set; receive a query represented according to the first type of information; and identify data objects from the set of multimodal data objects that correspond to the query by the at least one automated processor, based on at least the structured output space of interdependent multimodal objects; and an output port from the automated processor, configured to communicate at least one of the identified data objects and identifiers of the identified data objects. 15. The system according to claim 11 , wherein the automated processor is configured to optimize the joint feature representation by at least solving a Lagrange dual problem by partitioning Lagrange multipliers into an active set and an inactive set, wherein the active set has Lagrange multipliers greater than or equal to zero and the inactive set has Lagrange multipliers which are zero, iteratively moving members of the active set having zero-valued Lagrange multipliers to the inactive set without changing an objective function and moving members of the inactive set to the active set which result in a decrease in the objective function. | 0.678785 |
9,600,529 | 8 | 11 | 8. The method of claim 1 wherein the act of identifying, by the computer system, tokens in the query, comprises referencing a dictionary using a matching technique. | 8. The method of claim 1 wherein the act of identifying, by the computer system, tokens in the query, comprises referencing a dictionary using a matching technique. 11. The method of claim 8 wherein a word is included in the tokens in the query that is a longest string in the query that matches a string in the dictionary. | 0.5 |
9,979,777 | 1 | 10 | 1. A method comprising: determining, using one or more processors, an inferred interest for a first user; generating, using the one or more processors, a model based on the inferred interest of the first user and storing the model in a non-transitory storage medium; generating, using the one or more processors, a set of candidate content items using an item from a second user with a similarity to the first user; determining, using the one or more processors, a first attribute and a second attribute associated with a candidate content item in the set of candidate content items; determining, using the one or more processors, a first score associated with the first attribute for the candidate content item based on the model of the first user and a first number of candidate content items having the first attribute in the set of candidate content items; determining, using the one or more processors, a second score associated with the second attribute for the candidate content item based on the model of the first user and a second number of candidate content items having the second attribute in the set of candidate content items; computing, using the one or more processors, a third score for the candidate content item in the set of candidate content items by summing the first score associated with the first attribute and the second score associated with the second attribute; selecting, using the one or more processors, content items for a stream of content associated with the first user from the set of candidate content items based on the third score of the content items; generating, using the one or more processors, an explanation for a first content item in the selected content items, the explanation indicating a reason for presenting the first content item to the first user; and transmitting, using the one or more processors, an instruction to a device that causes the device to present for display the stream of content to the first user with the explanation alongside the first content item, the explanation including a selectable graphic element for the first user to access an expanded explanation. | 1. A method comprising: determining, using one or more processors, an inferred interest for a first user; generating, using the one or more processors, a model based on the inferred interest of the first user and storing the model in a non-transitory storage medium; generating, using the one or more processors, a set of candidate content items using an item from a second user with a similarity to the first user; determining, using the one or more processors, a first attribute and a second attribute associated with a candidate content item in the set of candidate content items; determining, using the one or more processors, a first score associated with the first attribute for the candidate content item based on the model of the first user and a first number of candidate content items having the first attribute in the set of candidate content items; determining, using the one or more processors, a second score associated with the second attribute for the candidate content item based on the model of the first user and a second number of candidate content items having the second attribute in the set of candidate content items; computing, using the one or more processors, a third score for the candidate content item in the set of candidate content items by summing the first score associated with the first attribute and the second score associated with the second attribute; selecting, using the one or more processors, content items for a stream of content associated with the first user from the set of candidate content items based on the third score of the content items; generating, using the one or more processors, an explanation for a first content item in the selected content items, the explanation indicating a reason for presenting the first content item to the first user; and transmitting, using the one or more processors, an instruction to a device that causes the device to present for display the stream of content to the first user with the explanation alongside the first content item, the explanation including a selectable graphic element for the first user to access an expanded explanation. 10. The method of claim 1 , wherein the expanded explanation of the first content item is presented to the first user as a decision tree organized from broad to narrow topics. | 0.79067 |
9,684,446 | 9 | 12 | 9. A computing device comprising: at least one processor; and at least one module operable by the at least one processor to: output, for display, a graphical user interface including a graphical keyboard and one or more text suggestion regions, wherein at least one character string is displayed within the one or more text suggestion regions, the at least one character string being associated with a probability; receive an indication of an initial gesture input detected at a presence-sensitive input device operatively coupled to the computing device; maintain, based on the initial gesture input, past user interaction data to reflect a past decision corresponding to the at least one candidate character string while the at least one candidate character string was previously displayed within the one or more text suggestion regions; receive an indication of a subsequent gesture input detected at the presence-sensitive input device operatively coupled to the computing device; determine, based at least in part on the indication of the subsequent gesture input, the at least one candidate character string; determine, based at least in part on an association between the at least one candidate character string and a context of the subsequent gesture input, a lexical probability for the at least one candidate character string, the lexical probability indicating a probability that the at least one candidate character string represents a word included in a lexicon; modify, based at least in part on the past interaction data, the lexical probability; output, for display, based on the lexical probability that was modified based at least in part on the past interaction data, the at least one candidate character string. | 9. A computing device comprising: at least one processor; and at least one module operable by the at least one processor to: output, for display, a graphical user interface including a graphical keyboard and one or more text suggestion regions, wherein at least one character string is displayed within the one or more text suggestion regions, the at least one character string being associated with a probability; receive an indication of an initial gesture input detected at a presence-sensitive input device operatively coupled to the computing device; maintain, based on the initial gesture input, past user interaction data to reflect a past decision corresponding to the at least one candidate character string while the at least one candidate character string was previously displayed within the one or more text suggestion regions; receive an indication of a subsequent gesture input detected at the presence-sensitive input device operatively coupled to the computing device; determine, based at least in part on the indication of the subsequent gesture input, the at least one candidate character string; determine, based at least in part on an association between the at least one candidate character string and a context of the subsequent gesture input, a lexical probability for the at least one candidate character string, the lexical probability indicating a probability that the at least one candidate character string represents a word included in a lexicon; modify, based at least in part on the past interaction data, the lexical probability; output, for display, based on the lexical probability that was modified based at least in part on the past interaction data, the at least one candidate character string. 12. The computing device of claim 9 , wherein the at least one module is operable by the at least one processor to modify the lexical probability by increasing the lexical probability in response to determining, based on the past user interaction data, that the past decision was to select the at least one candidate character string while the at least one candidate character string was displayed at the one or more text suggestion regions. | 0.678571 |
6,151,609 | 7 | 12 | 7. A remote system administration method, comprising the steps of: communicating an editor input form from a server through a network to a client in response to receiving a request from the client, the client using a forms-enabled and script-enabled web browser; receiving a server path input at the server from the web browser; communicating a file selection form from the server to the web browser, the file selection form including filenames identifying files included in a server path defined by the server path input; receiving a file selection from the web browser at the server, the file selection identifying one of the files; and communicating a copy of one of the files from the server to the web browser for editing; receiving by the server an updated file for storage, the updated file produced by editing the copy of the one of the files using the web browser without the use of a plug-in to the web browser. | 7. A remote system administration method, comprising the steps of: communicating an editor input form from a server through a network to a client in response to receiving a request from the client, the client using a forms-enabled and script-enabled web browser; receiving a server path input at the server from the web browser; communicating a file selection form from the server to the web browser, the file selection form including filenames identifying files included in a server path defined by the server path input; receiving a file selection from the web browser at the server, the file selection identifying one of the files; and communicating a copy of one of the files from the server to the web browser for editing; receiving by the server an updated file for storage, the updated file produced by editing the copy of the one of the files using the web browser without the use of a plug-in to the web browser. 12. The method of claim 7, further comprising analyzing the one of the files to determine if the one of the files is a read-only file, communicating a message to the client indicating that the one of the files is a read-only file and communicating the copy of the one of the files to the web browser for viewing. | 0.5 |
8,165,899 | 1 | 12 | 1. A system for managing form-generated data related to a patient encounter, the system comprising: a form having designated information fields at different locations on the form; an electronic writing system configured to generate location information that identifies the location of a user writing on the form; a contextualizer configured to translate location information related to the user writing to a contextualized data element, wherein the contextualized data element comprises contextual information that is associated with the user writing, wherein the contextualizer includes a mapping data set that maps user areas on the form to labels that are associated with the designated information fields and wherein the contextualizer is configured to identify a label from the location information by comparing the location information to the mapping data set, the contextualized data element comprising the label; and an Electronic Medical Record (EMR)/Electronic Health Record (EHR) application that utilizes the label in the contextualized data element to perform a function that is related to the user writing on the form; wherein the contextualized data element is distributed to the EMR/EHR application via a publish/subscribe protocol in which the EMR/EHR application subscribes to a specific contextualized data element by identifying the label associated with the contextualized data element. | 1. A system for managing form-generated data related to a patient encounter, the system comprising: a form having designated information fields at different locations on the form; an electronic writing system configured to generate location information that identifies the location of a user writing on the form; a contextualizer configured to translate location information related to the user writing to a contextualized data element, wherein the contextualized data element comprises contextual information that is associated with the user writing, wherein the contextualizer includes a mapping data set that maps user areas on the form to labels that are associated with the designated information fields and wherein the contextualizer is configured to identify a label from the location information by comparing the location information to the mapping data set, the contextualized data element comprising the label; and an Electronic Medical Record (EMR)/Electronic Health Record (EHR) application that utilizes the label in the contextualized data element to perform a function that is related to the user writing on the form; wherein the contextualized data element is distributed to the EMR/EHR application via a publish/subscribe protocol in which the EMR/EHR application subscribes to a specific contextualized data element by identifying the label associated with the contextualized data element. 12. The system of claim 1 wherein the contextual information includes standardized medical terms. | 0.813462 |
9,697,071 | 17 | 21 | 17. A system comprising: wrapping code coupled to an error handler of a routine, in which the routine produces an error and the wrapping code wraps the error with relevant information to provide a wrapped exception instance, including to use an exception type hierarchy to preserve information in the wrapped exception instance including an exception type; and an exception manager that receives the wrapped exception instance and determines one or more actions to take based upon the exception type of the wrapped exception instance, wherein the exception manager takes the one or more actions, including to present an interactive dialog associated with the exception type and wherein the dialog includes an interactive input mechanism, which when selected, results in the exception manager taking further action to navigate back to a prior location, or retry an operation that caused the error. | 17. A system comprising: wrapping code coupled to an error handler of a routine, in which the routine produces an error and the wrapping code wraps the error with relevant information to provide a wrapped exception instance, including to use an exception type hierarchy to preserve information in the wrapped exception instance including an exception type; and an exception manager that receives the wrapped exception instance and determines one or more actions to take based upon the exception type of the wrapped exception instance, wherein the exception manager takes the one or more actions, including to present an interactive dialog associated with the exception type and wherein the dialog includes an interactive input mechanism, which when selected, results in the exception manager taking further action to navigate back to a prior location, or retry an operation that caused the error. 21. The system of claim 17 wherein the interactive input mechanism, when selected, is further interactive to allow the exception manager to take further action to navigate to a location in a program that contains the routine, in which the location is determined based upon information in the wrapped exception type. | 0.607232 |
8,549,395 | 1 | 2 | 1. A method for transforming a webpage, the method comprising: loading the webpage containing an embedded object in a browser; capturing a portable text representation of an image of said embedded object by invoking said embedded object to rasterize itself into said portable text representation; streaming said portable text representation to a web server; converting said portable text representation into a native image representation on said web server; storing said native image representation on said web server; generating a uniform resource locator (“URL”) identifying a storage location of said native image representation; and retrieving said native image representation from said web server using the URL and replacing said embedded object with said native image representation. | 1. A method for transforming a webpage, the method comprising: loading the webpage containing an embedded object in a browser; capturing a portable text representation of an image of said embedded object by invoking said embedded object to rasterize itself into said portable text representation; streaming said portable text representation to a web server; converting said portable text representation into a native image representation on said web server; storing said native image representation on said web server; generating a uniform resource locator (“URL”) identifying a storage location of said native image representation; and retrieving said native image representation from said web server using the URL and replacing said embedded object with said native image representation. 2. The method of claim 1 , wherein the webpage containing an embedded object is loaded in a web browser. | 0.787755 |
9,911,358 | 1 | 4 | 1. A system for real-time tracking of at least one of a position, orientation, and movement of a tongue of a user during speech comprising: a tracer unit; magnetic sensors; a speech characteristic sensor; a sensor control unit; a computing platform; and a feedback system; wherein the tracer unit is adapted to be non-obstructively affixed at a location on the tongue of the user; wherein the magnetic sensors are configurable to measure a magnetic flux density at the location of the tracer unit, the magnetic sensors in non-obstructive proximity to the tracer unit and mouth of the user; wherein the speech characteristic sensor configurable to detect a speech characteristic selected from the group consisting of sound produced by the user, an air flow produced by the user, a lip movement/gesture produced by the user, a physical contact between the tongue and a palate of the user, an articulator muscle movement produced by the user, and an electrical activity of a brain of the user; wherein the sensor control unit is configurable to: receive a magnetic sensor signal from a magnetic sensors; receive a speech characteristic sensor signal from the speech characteristic sensor; synchronize the magnetic sensor signal with the speech characteristic sensor signal; and transmit the synchronized sensor signal to the computing platform; wherein the computing platform is configurable to: perform a tongue tracking signal processing algorithm, the algorithm including minimizing a cost function that correlates to the measured magnetic flux density and an estimated magnetic flux density at the location of the tracer unit, the location of the tracer unit being defined within a three-dimensional, non-discrete space; determine, based on the algorithm, one or more of a position, orientation, and movement of the tracer unit in real time within the three-dimensinal, non-discrete space; generate a combination of the one or more determined position, determined orientation, and determined movement of the tracer unit with the speech characteristic sensor signal; and transmit the combination to the feedback system; and wherein the feedback system is configurable to provide assistive speech-related feedback to the user in real time, based on the combination, wherein the assistive speech-related feedback is selected from the group consisting of a representation of temporally and spatially continuous tracking of the user's tongue movement during speech of a target phoneme within the three-dimensional non-discrete space, an interactive game to quantify and monitor the user's progress, and vibrotactile biofeedback comparing speech of the user to correct speech of a target phoneme. | 1. A system for real-time tracking of at least one of a position, orientation, and movement of a tongue of a user during speech comprising: a tracer unit; magnetic sensors; a speech characteristic sensor; a sensor control unit; a computing platform; and a feedback system; wherein the tracer unit is adapted to be non-obstructively affixed at a location on the tongue of the user; wherein the magnetic sensors are configurable to measure a magnetic flux density at the location of the tracer unit, the magnetic sensors in non-obstructive proximity to the tracer unit and mouth of the user; wherein the speech characteristic sensor configurable to detect a speech characteristic selected from the group consisting of sound produced by the user, an air flow produced by the user, a lip movement/gesture produced by the user, a physical contact between the tongue and a palate of the user, an articulator muscle movement produced by the user, and an electrical activity of a brain of the user; wherein the sensor control unit is configurable to: receive a magnetic sensor signal from a magnetic sensors; receive a speech characteristic sensor signal from the speech characteristic sensor; synchronize the magnetic sensor signal with the speech characteristic sensor signal; and transmit the synchronized sensor signal to the computing platform; wherein the computing platform is configurable to: perform a tongue tracking signal processing algorithm, the algorithm including minimizing a cost function that correlates to the measured magnetic flux density and an estimated magnetic flux density at the location of the tracer unit, the location of the tracer unit being defined within a three-dimensional, non-discrete space; determine, based on the algorithm, one or more of a position, orientation, and movement of the tracer unit in real time within the three-dimensinal, non-discrete space; generate a combination of the one or more determined position, determined orientation, and determined movement of the tracer unit with the speech characteristic sensor signal; and transmit the combination to the feedback system; and wherein the feedback system is configurable to provide assistive speech-related feedback to the user in real time, based on the combination, wherein the assistive speech-related feedback is selected from the group consisting of a representation of temporally and spatially continuous tracking of the user's tongue movement during speech of a target phoneme within the three-dimensional non-discrete space, an interactive game to quantify and monitor the user's progress, and vibrotactile biofeedback comparing speech of the user to correct speech of a target phoneme. 4. The system of claim 1 , the magnetic sensors adapted for positioning outside the mouth of the user. | 0.855524 |
10,120,857 | 3 | 4 | 3. The system of claim 2 , wherein the at least one processor is further configured by the set of instructions to perform the following operations as part of the execution: generate a third string, by the second handler, based in part on the input string to second handler, if the input string to second handler matches a regular expression specified for the second handler in the parser definition; and input the third string, by the second handler, as an input to another handler, if the input string to second handler matches a regular expression specified for the second handler in the parser definition. | 3. The system of claim 2 , wherein the at least one processor is further configured by the set of instructions to perform the following operations as part of the execution: generate a third string, by the second handler, based in part on the input string to second handler, if the input string to second handler matches a regular expression specified for the second handler in the parser definition; and input the third string, by the second handler, as an input to another handler, if the input string to second handler matches a regular expression specified for the second handler in the parser definition. 4. The system of claim 3 , wherein the at least one processor is further configured by the set of instructions to perform the following operation as part of the execution: generate an output string from a third handler, by the third handler, if the current input string to the parsing pipeline does not match regular expressions specified for handlers other than the third handler in the parser definition. | 0.5 |
7,737,354 | 8 | 10 | 8. The process of claim 6 further comprising: automatically aligning the first musical score and a corresponding musical audio input; and segmenting the musical audio input into samples corresponding to the first musical score to form note-score pairs in the database. | 8. The process of claim 6 further comprising: automatically aligning the first musical score and a corresponding musical audio input; and segmenting the musical audio input into samples corresponding to the first musical score to form note-score pairs in the database. 10. The process of claim 8 wherein the musical audio input and the first musical score represents user selected renditions of a set of particular songs by a particular artist. | 0.566832 |
7,702,510 | 1 | 4 | 1. A method for dynamically selecting among text-to-speech (TTS) systems, the method comprising: synthesizing a first section of text using a first TTS system employing a first algorithm to produce a first speech waveform having an associated first score; synthesizing the first section of text using a second TTS system employing a second algorithm to produce a second speech waveform having an associated second score; normalizing, with at least one processor configured to execute a normalizing function, the first score and the second score to produce a first normalized score and a second normalized score; and selecting the first speech waveform or the second speech waveform for the first section of text based, at least in part, on a comparison of the first normalized score and the second normalized score. | 1. A method for dynamically selecting among text-to-speech (TTS) systems, the method comprising: synthesizing a first section of text using a first TTS system employing a first algorithm to produce a first speech waveform having an associated first score; synthesizing the first section of text using a second TTS system employing a second algorithm to produce a second speech waveform having an associated second score; normalizing, with at least one processor configured to execute a normalizing function, the first score and the second score to produce a first normalized score and a second normalized score; and selecting the first speech waveform or the second speech waveform for the first section of text based, at least in part, on a comparison of the first normalized score and the second normalized score. 4. The method of claim 1 , wherein the first score and the second score are confidence scores. | 0.930882 |
9,195,379 | 16 | 22 | 16. A processor readable non-transitory medium storing instructions that, when executed by a processor, cause the processor to: receive a package specification unit (PU) representative of a design of a converged infrastructure (CI) including compute, storage, network, and virtualization components, the package specification unit including compiled component readable tasks that perform operations on the CI components, the package specification unit further including: an inventory task model associated with tasks to read inventory information from the CI components; an assessment task model associated with tasks to assess the CI components; a configuration task model associated with tasks to configure the CI components; and a user input model to generate prompts to solicit and receive CI component information from a user, and provide the received information to the other package specification unit models; display a package specification unit model menu from which the package specification unit models may be selected; receive a selection of one of the package specification unit models through the package specification unit model menu; and execute one or more tasks associated with the selected package specification unit model to perform corresponding operations on the CI components. | 16. A processor readable non-transitory medium storing instructions that, when executed by a processor, cause the processor to: receive a package specification unit (PU) representative of a design of a converged infrastructure (CI) including compute, storage, network, and virtualization components, the package specification unit including compiled component readable tasks that perform operations on the CI components, the package specification unit further including: an inventory task model associated with tasks to read inventory information from the CI components; an assessment task model associated with tasks to assess the CI components; a configuration task model associated with tasks to configure the CI components; and a user input model to generate prompts to solicit and receive CI component information from a user, and provide the received information to the other package specification unit models; display a package specification unit model menu from which the package specification unit models may be selected; receive a selection of one of the package specification unit models through the package specification unit model menu; and execute one or more tasks associated with the selected package specification unit model to perform corresponding operations on the CI components. 22. The processor readable medium of claim 16 , further comprising instructions to cause the processor to generate the PU, the instructions to generate including instructions to cause the processor to: receive a human-readable blueprint of the design of the CI that defines for a user step-by-step procedures and related information from the user required to inventory, assess, and configure each of the compute, storage, network, and virtualization components of the CI in accordance with the design; and convert the procedures and related information defined in the blueprint to: displayable menus and component readable tasks for each of the inventory, assessment, and configuration task models of the PU; and a displayable menu and interactive commands of the user interface model. | 0.5 |
9,697,255 | 22 | 23 | 22. A method of processing events in a complex event processing (CEP) system, the method comprising: receiving, via an event bus, a stream of events, each said event having a predefined event type; determining, in connection with an event processing agent including at least one processor, when a particular query out of a plurality of possible queries is to be executed on an event received via the event bus, each said query either initially conforming to a CEP query language executable by the event processing agent and thus being executable by the event processing agent, or being translated into a translated query executable via the event processing agent from an enhanced query that conforms to a version of the CEP query language that has been enriched so that semantics thereof are represented in accordance with an ontology, wherein the particular query to be executed on the event received via the event bus is translated, in accordance with a stored mapping between elements of the CEP query language and elements of the ontology that enhances the query language, from an enhanced query including references to ontology elements into a translated query executable via the event processing agent, the references to the ontology elements in the enhanced query being translated into queries processable by the event processing agent in accordance with the query language; and executing the particular query in connection with the at least one processor of the event processing agent; wherein a first data store stores the mappings between elements of the CEP query language, and the elements of the ontology; wherein translated queries are generated in accordance with the mappings stored in the first data store; and wherein the concepts of the ontology are classes, and wherein the generating of the translated query comprises, for the enhanced query: retrieving a class definition for all referenced classes from a corresponding ontology; determining whether the referenced classes are marked as being handled; when the referenced classes are marked as being handled, transforming the respective class definition to the query language, and compiling the translated query; and when the referenced classes are not marked as being handled: when the respective class does not have a corresponding mapping, replacing the class with a union of all of its sub-classes; when the respective class has a corresponding mapping but no sub-classes, removing the reference to the class; and when the respective class has a corresponding mapping and any sub-classes, adding a union with all sub-classes to the class and marking the class as handled. | 22. A method of processing events in a complex event processing (CEP) system, the method comprising: receiving, via an event bus, a stream of events, each said event having a predefined event type; determining, in connection with an event processing agent including at least one processor, when a particular query out of a plurality of possible queries is to be executed on an event received via the event bus, each said query either initially conforming to a CEP query language executable by the event processing agent and thus being executable by the event processing agent, or being translated into a translated query executable via the event processing agent from an enhanced query that conforms to a version of the CEP query language that has been enriched so that semantics thereof are represented in accordance with an ontology, wherein the particular query to be executed on the event received via the event bus is translated, in accordance with a stored mapping between elements of the CEP query language and elements of the ontology that enhances the query language, from an enhanced query including references to ontology elements into a translated query executable via the event processing agent, the references to the ontology elements in the enhanced query being translated into queries processable by the event processing agent in accordance with the query language; and executing the particular query in connection with the at least one processor of the event processing agent; wherein a first data store stores the mappings between elements of the CEP query language, and the elements of the ontology; wherein translated queries are generated in accordance with the mappings stored in the first data store; and wherein the concepts of the ontology are classes, and wherein the generating of the translated query comprises, for the enhanced query: retrieving a class definition for all referenced classes from a corresponding ontology; determining whether the referenced classes are marked as being handled; when the referenced classes are marked as being handled, transforming the respective class definition to the query language, and compiling the translated query; and when the referenced classes are not marked as being handled: when the respective class does not have a corresponding mapping, replacing the class with a union of all of its sub-classes; when the respective class has a corresponding mapping but no sub-classes, removing the reference to the class; and when the respective class has a corresponding mapping and any sub-classes, adding a union with all sub-classes to the class and marking the class as handled. 23. The method of claim 22 , wherein translated queries are generated at compile time. | 0.826613 |
8,301,613 | 1 | 8 | 1. A computer implemented method for correlating an incident service ticket with an incident resource ticket comprising: in response to a creation of an incident service ticket in a certain service category; performing a first search searching with a data processor for open incident resource tickets of the same or similar category; performing a second search searching with the data processor based on a set of similarity roles for corresponding critical configuration items defined in business service configuration items; and when both the first and second searches succeed, performing a third search searching with the data processor of found open incident resource tickets from the first search ordered by time using found corresponding critical configuration items from the second search and, when a match is found, declaring the incident service ticket to be correlated with the matching incident resource ticket. | 1. A computer implemented method for correlating an incident service ticket with an incident resource ticket comprising: in response to a creation of an incident service ticket in a certain service category; performing a first search searching with a data processor for open incident resource tickets of the same or similar category; performing a second search searching with the data processor based on a set of similarity roles for corresponding critical configuration items defined in business service configuration items; and when both the first and second searches succeed, performing a third search searching with the data processor of found open incident resource tickets from the first search ordered by time using found corresponding critical configuration items from the second search and, when a match is found, declaring the incident service ticket to be correlated with the matching incident resource ticket. 8. The method of claim 1 , further comprising updating critical configuration item information based on historical information. | 0.913251 |
9,257,122 | 1 | 14 | 1. A method of alerting a user of condescending speech comprising: receiving speech from at least one user; processing the speech to identify one or more phonemes; processing the identified one or more phonemes wherein the processing identifies the duration, the maximum duration, and the location(s) of the one or more phonemes to identify at least one feature of the speech; comparing the at least one feature to previously determined features; and alerting the user that the received speech contains condescending speech if the comparison exceeds a threshold. | 1. A method of alerting a user of condescending speech comprising: receiving speech from at least one user; processing the speech to identify one or more phonemes; processing the identified one or more phonemes wherein the processing identifies the duration, the maximum duration, and the location(s) of the one or more phonemes to identify at least one feature of the speech; comparing the at least one feature to previously determined features; and alerting the user that the received speech contains condescending speech if the comparison exceeds a threshold. 14. The method of claim 1 , further comprising the step of converting the speech to text using an automatic speech recognizer and computing lexical features from an output of the automatic speech recognizer. | 0.646758 |
4,831,525 | 2 | 5 | 2. A method of automatically generating a source program as defined in claim 1, further comprising the step of defining or/and editing at least one of said schematic information items. | 2. A method of automatically generating a source program as defined in claim 1, further comprising the step of defining or/and editing at least one of said schematic information items. 5. A method of automatically generating a source program as defined in claim 2, wherein, when the module structure diagram is edited, a process for addition to the module, a process for deletion from the module and a process for change of a module name are performed. | 0.5 |
8,997,220 | 3 | 4 | 3. The method of claim 1 , wherein, with regard to a uniform resource locator (URL), the change in behavior comprises at least one from among the group comprising a new URL and a new URL structure. | 3. The method of claim 1 , wherein, with regard to a uniform resource locator (URL), the change in behavior comprises at least one from among the group comprising a new URL and a new URL structure. 4. The method of claim 3 , wherein the URL comprises a plurality of popular keywords. | 0.5 |
7,650,286 | 177 | 178 | 177. The system of claim 135 , wherein the job description further includes a required salary range comprising a minimum required salary and a maximum required salary. | 177. The system of claim 135 , wherein the job description further includes a required salary range comprising a minimum required salary and a maximum required salary. 178. The system of claim 177 , wherein the matching resume that satisfies the job description includes an expected salary that falls within the required salary range. | 0.5 |
8,359,292 | 13 | 14 | 13. The configured medium of claim 7 , wherein the process follows the folding-by-name procedure, namely, the process groups nodes into a group represented by a remaining node on the basis of the nodes being reachable in the DAG from the remaining node and on the basis of node names. | 13. The configured medium of claim 7 , wherein the process follows the folding-by-name procedure, namely, the process groups nodes into a group represented by a remaining node on the basis of the nodes being reachable in the DAG from the remaining node and on the basis of node names. 14. The configured medium of claim 13 , wherein the remaining node represents a method which invokes helper methods, and the process groups the helper methods and consolidates their cost with the cost of the remaining node. | 0.5 |
9,361,579 | 11 | 15 | 11. A computer program product comprising a tangible computer readable recordable storage medium including computer useable program code for computing a solution to a query formulated against a knowledge base (KB), the computer program product including: computer useable program code for receiving a query formulated against a knowledge base, wherein the knowledge base comprises a set of one or more axioms, wherein each axiom is annotated with a specific probability value indicating a degree of certainty assigned thereto; computer useable program code for ignoring each probability value of the one or more axioms and computing a solution to the query; computer useable program code for computing each of one or more justifications for the query solution, wherein computing each of one or more justifications for the query solution comprises determining a minimal set of one or more axioms in the knowledge base that entail the query solution; and computer useable program code for using each probability value of the one or more axioms in each justification to compute a net probability of an inferred query solution. | 11. A computer program product comprising a tangible computer readable recordable storage medium including computer useable program code for computing a solution to a query formulated against a knowledge base (KB), the computer program product including: computer useable program code for receiving a query formulated against a knowledge base, wherein the knowledge base comprises a set of one or more axioms, wherein each axiom is annotated with a specific probability value indicating a degree of certainty assigned thereto; computer useable program code for ignoring each probability value of the one or more axioms and computing a solution to the query; computer useable program code for computing each of one or more justifications for the query solution, wherein computing each of one or more justifications for the query solution comprises determining a minimal set of one or more axioms in the knowledge base that entail the query solution; and computer useable program code for using each probability value of the one or more axioms in each justification to compute a net probability of an inferred query solution. 15. The computer program product of claim 11 , further comprising computer useable program code for using a probabilistic model to determine a cumulative probability of an inference given each probability value of the one or more axioms in each justification of the inferred query solution. | 0.653938 |
7,523,079 | 1 | 8 | 1. A computer-implemented network structure, comprising: a memory that stores instructions to create: a first node that is a semantic Janus unit, wherein the first node possesses an existing time-variable state; a second node containing informational contents; and a link between the first node and the second node, wherein the link contains relational contents that describes the relationship between the first node and the second node, wherein the first node carries out operations on the second node and on the link, wherein the existing time-variable state determines which operations are carried out, and wherein a pattern in an image is recognized by carrying out the operations. | 1. A computer-implemented network structure, comprising: a memory that stores instructions to create: a first node that is a semantic Janus unit, wherein the first node possesses an existing time-variable state; a second node containing informational contents; and a link between the first node and the second node, wherein the link contains relational contents that describes the relationship between the first node and the second node, wherein the first node carries out operations on the second node and on the link, wherein the existing time-variable state determines which operations are carried out, and wherein a pattern in an image is recognized by carrying out the operations. 8. The computer-implemented network structure of claim 1 , wherein The first node monitors nodes within a vicinity to be monitored, wherein the first node performs the operations on nodes within a vicinity to be shaped, and wherein the first node determines a new time-variable state based on the existing time-variable state and on the nodes within the vicinity to be monitored. | 0.572235 |
7,478,038 | 8 | 9 | 8. The method of claim 3 wherein generating background n-gram class count data based on the background data and the semantic entities and classes thereof comprises tagging word level background data based on the semantic entities and classes thereof. | 8. The method of claim 3 wherein generating background n-gram class count data based on the background data and the semantic entities and classes thereof comprises tagging word level background data based on the semantic entities and classes thereof. 9. The method of claim 8 wherein generating background n-gram class count data based on the background data and the semantic entities and classes thereof comprises counting unique class level n-grams of the tagged background data. | 0.5 |
9,565,146 | 12 | 13 | 12. An apparatus for controlling a messenger in a first terminal, the apparatus comprising: a display configured to display, at the first terminal, a deleted specific chat phrase among a plurality of chat phrases in a messenger chat window, and an answer phrase to the deleted specific chat phrase; and a processor configured to: transmit, to a second terminal, an acknowledgement signal including a specific value indicating deletion of the specific chat phrase, receive a related image of the deleted specific chat phrase from the second terminal, detect the deleted specific chat phrase from received messenger information including the answer phrase, and display the detected specific chat phrase and the answer phrase in the messenger chat window, if the specific chat phrase associated with the answer phrase among the plurality of chat phrases in the messenger chat window is deleted when the answer phrase to the specific chat phrase in the messenger chat window is received. | 12. An apparatus for controlling a messenger in a first terminal, the apparatus comprising: a display configured to display, at the first terminal, a deleted specific chat phrase among a plurality of chat phrases in a messenger chat window, and an answer phrase to the deleted specific chat phrase; and a processor configured to: transmit, to a second terminal, an acknowledgement signal including a specific value indicating deletion of the specific chat phrase, receive a related image of the deleted specific chat phrase from the second terminal, detect the deleted specific chat phrase from received messenger information including the answer phrase, and display the detected specific chat phrase and the answer phrase in the messenger chat window, if the specific chat phrase associated with the answer phrase among the plurality of chat phrases in the messenger chat window is deleted when the answer phrase to the specific chat phrase in the messenger chat window is received. 13. The apparatus of claim 12 , wherein the processor is further configured to: display as a pop-up window an image including the deleted specific chat phrase, the answer phrase, and preceding and subsequent phrases of the deleted specific chat phrase. | 0.853488 |
9,262,722 | 1 | 7 | 1. A computerized system comprising: (a) a computer processor; (b) a computer-readable storage medium maintaining at least one registration data file for receiving registration of at least one or more social networking websites for a social networker, for measuring the social networker's collective influence on the registered at least one or more social networking websites, said computer-readable storage medium being in communication with said computer processor; (c) a social networking application program comprising computer executable instructions readable and executable by the computer processor and configured for automatically collecting empirical data regarding the social networker's use and activity level for the at least one or more registered social networking websites that includes, but is not limited to, measuring frequency of an activity posting by the social networker to the at least one or more registered social networking websites within a predetermined period; determining number of responses to the activity posting; measuring the length, quantitative and qualitative discussion emanating from the social networker's activity posting; measuring one or more third party's use of the social networker's activity posting; assigning individual weighted scores for each quantitative and qualitative empirical data; generating an impact score by tabulating an aggregate of the individual weighted scores derived from the plurality of weighted scores; and posting the impact score on a social networking website viewable by the social networker and a community of friends. | 1. A computerized system comprising: (a) a computer processor; (b) a computer-readable storage medium maintaining at least one registration data file for receiving registration of at least one or more social networking websites for a social networker, for measuring the social networker's collective influence on the registered at least one or more social networking websites, said computer-readable storage medium being in communication with said computer processor; (c) a social networking application program comprising computer executable instructions readable and executable by the computer processor and configured for automatically collecting empirical data regarding the social networker's use and activity level for the at least one or more registered social networking websites that includes, but is not limited to, measuring frequency of an activity posting by the social networker to the at least one or more registered social networking websites within a predetermined period; determining number of responses to the activity posting; measuring the length, quantitative and qualitative discussion emanating from the social networker's activity posting; measuring one or more third party's use of the social networker's activity posting; assigning individual weighted scores for each quantitative and qualitative empirical data; generating an impact score by tabulating an aggregate of the individual weighted scores derived from the plurality of weighted scores; and posting the impact score on a social networking website viewable by the social networker and a community of friends. 7. The computerized system according to claim 1 , wherein the social networking application program is configured for displaying any one of the following in an elliptical format in a planetary arrangement: registered social networks or the impact scores of social networker's friends. | 0.5 |
8,190,424 | 1 | 3 | 1. A computer-implemented system for prospecting digital information through online social communities, comprising: a computer comprising a processor and memory within which code for execution by the processor is stored, comprising: an information storage module configured to maintain a home evergreen index for a home community and a plurality of frontier evergreen indexes for respective frontier communities, the home evergreen index and the frontier evergreen indexes covering topically-limited subject areas, each of the subject areas comprising electronically-stored digital information, the home evergreen index and each frontier evergreen index comprising: a hierarchy of stored topics; and a stored topic model matched to each of the topics in the topic hierarchy, each of the topic models comprising a pattern evaluable against the digital information, wherein the pattern identifies such digital information matching the topic model's topic; a frontier candidate identifier module configured to identify at least one frontier evergreen index that comprises stored topics that are at least partially distinct from the stored topics comprised in the home evergreen index; a frontier candidate evaluation module configured to obtain vetted assessments as provided by the frontier community of the at least one frontier evergreen index for articles of the digital information identified by the patterns that comprise the topic models of the at least one frontier evergreen index; a frontier integration module configured to select the articles of the digital information corresponding to the vetted assessments that are favorable and to match the patterns that comprise the topic models of the home evergreen index against the selected articles of the digital information; and a display module configured to provide the selected articles of the digital information that were matched. | 1. A computer-implemented system for prospecting digital information through online social communities, comprising: a computer comprising a processor and memory within which code for execution by the processor is stored, comprising: an information storage module configured to maintain a home evergreen index for a home community and a plurality of frontier evergreen indexes for respective frontier communities, the home evergreen index and the frontier evergreen indexes covering topically-limited subject areas, each of the subject areas comprising electronically-stored digital information, the home evergreen index and each frontier evergreen index comprising: a hierarchy of stored topics; and a stored topic model matched to each of the topics in the topic hierarchy, each of the topic models comprising a pattern evaluable against the digital information, wherein the pattern identifies such digital information matching the topic model's topic; a frontier candidate identifier module configured to identify at least one frontier evergreen index that comprises stored topics that are at least partially distinct from the stored topics comprised in the home evergreen index; a frontier candidate evaluation module configured to obtain vetted assessments as provided by the frontier community of the at least one frontier evergreen index for articles of the digital information identified by the patterns that comprise the topic models of the at least one frontier evergreen index; a frontier integration module configured to select the articles of the digital information corresponding to the vetted assessments that are favorable and to match the patterns that comprise the topic models of the home evergreen index against the selected articles of the digital information; and a display module configured to provide the selected articles of the digital information that were matched. 3. A system according to claim 1 , further comprising: a subject area evaluation module configured to compare the topically-limited subject areas of the home evergreen index to the respective topically-limited subject areas for a plurality of the frontier evergreen indexes; an overlap evaluation module configured to determine overlap of the respective subject areas of the home evergreen index and the plurality of the frontier evergreen indexes; and a frontier candidate selection module configured to select the at least one frontier evergreen index from the plurality of the frontier evergreen indexes based on the overlap. | 0.589542 |
9,031,898 | 33 | 39 | 33. A method performed by one or more server devices, the method comprising: identifying, by a processor of the one or more server devices, a document that is relevant to a search term, the document comprising structural elements, where the structural elements comprise the document, a set of parts of the document, and a set of pages of the document; identifying, by a processor of the one or more server devices, a tree representation of the document, where the pages of the document correspond to leaf nodes, the parts of the document correspond to higher level nodes, and the document corresponds to a root node; assigning, by a processor of the one or more server devices, scores to the leaf nodes based on whether the leaf nodes contain occurrences of the search term; determining, by a processor of the one or more server devices, scores for the higher level nodes based on the scores of associated ones of the leaf nodes; determining, by a processor of the one or more server devices, a score for the root node based on the scores of the higher level nodes; providing, by a processor of the one or more server devices, a threshold, where the threshold is based on at least one of: a number of pages associated with one of the leaf nodes, a number of pages associated with one of the higher level nodes, or a number of pages associated with the root node; selecting, by a processor of the one or more server devices, one of the leaf nodes, one of the higher level nodes, or the root node, as a selected node, based on the scores and the threshold; and providing, by a processor of the one or more server devices, information relating to the selected node. | 33. A method performed by one or more server devices, the method comprising: identifying, by a processor of the one or more server devices, a document that is relevant to a search term, the document comprising structural elements, where the structural elements comprise the document, a set of parts of the document, and a set of pages of the document; identifying, by a processor of the one or more server devices, a tree representation of the document, where the pages of the document correspond to leaf nodes, the parts of the document correspond to higher level nodes, and the document corresponds to a root node; assigning, by a processor of the one or more server devices, scores to the leaf nodes based on whether the leaf nodes contain occurrences of the search term; determining, by a processor of the one or more server devices, scores for the higher level nodes based on the scores of associated ones of the leaf nodes; determining, by a processor of the one or more server devices, a score for the root node based on the scores of the higher level nodes; providing, by a processor of the one or more server devices, a threshold, where the threshold is based on at least one of: a number of pages associated with one of the leaf nodes, a number of pages associated with one of the higher level nodes, or a number of pages associated with the root node; selecting, by a processor of the one or more server devices, one of the leaf nodes, one of the higher level nodes, or the root node, as a selected node, based on the scores and the threshold; and providing, by a processor of the one or more server devices, information relating to the selected node. 39. The method of claim 33 , where the information related to the selected node is a first page of the part when the part is the selected node. | 0.859804 |
8,489,572 | 6 | 8 | 6. The method of claim 2 , further comprising storing a predefined filter for contractual documents in association with an identifier that corresponds to the user. | 6. The method of claim 2 , further comprising storing a predefined filter for contractual documents in association with an identifier that corresponds to the user. 8. The method of claim 6 , further comprising: storing an identifier corresponding to a second user in association with the predefined filter; filtering one or more additional contractual provisions retrieved by the server from the database in response to a predefined query of the second user using the predefined filter associated with the identifier corresponding to the second user; and returning filtered contractual provisions to the integration component of the client access device for presentation in the result folder. | 0.5 |
8,560,005 | 11 | 16 | 11. A text-to-speech method for a mobile communication terminal that is capable of displaying multiple objects on a screen in an overlapping manner, the method comprising: identifying a characteristic of an activated object on the screen; finding a speech data mapped to the identified characteristic; and outputting an audible signal corresponding to textual contents of the activated object using the speech data. | 11. A text-to-speech method for a mobile communication terminal that is capable of displaying multiple objects on a screen in an overlapping manner, the method comprising: identifying a characteristic of an activated object on the screen; finding a speech data mapped to the identified characteristic; and outputting an audible signal corresponding to textual contents of the activated object using the speech data. 16. The text-to-speech method of claim 11 , wherein identifying a characteristic comprises obtaining information on an attached object, and identifying characteristics of the activated object and the attached object when the activated object includes an attached object, and wherein finding a speech data mapped to the identified characteristic comprises finding speech data mapped to identified characteristics of activated and attached objects, and outputting audible signals corresponding to textual contents of the activated and attached objects using corresponding mapped speech data. | 0.5 |
7,724,957 | 1 | 3 | 1. A system that facilitates text recognition comprising: a word group component for recognition of word groups that are predefined based on joining rules of a language associated with the text, the joining rules defining a Part of an Arabic word (PAW), the word component to label the word groups based on relative horizontal overlaps between the word groups, and to extract features from the text to recognize the word groups of the text utilizing a first classifier to scale the text to a fixed size grid while maintaining an aspect ratio of the text and a second classifier based on directional codes associated with the word groups; and a letters component for recognition of constituent letters that form the word groups, the letters component to recognize the constituent letters substantially simultaneously as the word group component to recognize the word groups. | 1. A system that facilitates text recognition comprising: a word group component for recognition of word groups that are predefined based on joining rules of a language associated with the text, the joining rules defining a Part of an Arabic word (PAW), the word component to label the word groups based on relative horizontal overlaps between the word groups, and to extract features from the text to recognize the word groups of the text utilizing a first classifier to scale the text to a fixed size grid while maintaining an aspect ratio of the text and a second classifier based on directional codes associated with the word groups; and a letters component for recognition of constituent letters that form the word groups, the letters component to recognize the constituent letters substantially simultaneously as the word group component to recognize the word groups. 3. The system of claim 1 , wherein the word group component and the letters component are Neural Net based. | 0.753456 |
8,843,477 | 1 | 8 | 1. A computer-implemented method performed by at least one processor, the method comprising: receiving a search query; obtaining search results that identify a plurality of respective web pages as being responsive to the search query; computing a respective global ranking score for each of the plurality of web pages, wherein each global ranking score is based at least in part on a measure of relevance of each web page to the search query; computing an onsite ranking score for each of the responsive web pages, wherein each web page is a web page on a corresponding website that includes a plurality of other web pages, wherein the onsite ranking score is computed from onsite data that is controlled by a webmaster or a developer of the website, wherein the onsite ranking score represents an indication of importance of the web page as responsive to the search query relative to all other web pages within the corresponding website; modifying the global ranking score for each responsive web page based on the onsite ranking score for the web page; generating a combined ranking of the plurality of web pages based on the global ranking scores of the web pages including the modified global ranking score for each web page; and providing the combined ranking of the plurality of web pages in response to the search query. | 1. A computer-implemented method performed by at least one processor, the method comprising: receiving a search query; obtaining search results that identify a plurality of respective web pages as being responsive to the search query; computing a respective global ranking score for each of the plurality of web pages, wherein each global ranking score is based at least in part on a measure of relevance of each web page to the search query; computing an onsite ranking score for each of the responsive web pages, wherein each web page is a web page on a corresponding website that includes a plurality of other web pages, wherein the onsite ranking score is computed from onsite data that is controlled by a webmaster or a developer of the website, wherein the onsite ranking score represents an indication of importance of the web page as responsive to the search query relative to all other web pages within the corresponding website; modifying the global ranking score for each responsive web page based on the onsite ranking score for the web page; generating a combined ranking of the plurality of web pages based on the global ranking scores of the web pages including the modified global ranking score for each web page; and providing the combined ranking of the plurality of web pages in response to the search query. 8. The method of claim 1 , wherein the onsite ranking score for each web page of a website is based on relative term counts of terms of the search query occurring in each web page of the website. | 0.712389 |
7,546,465 | 9 | 11 | 9. A method for privatizing sensitive financial data in a message, comprising: parsing the message as entered in a chat window for the identification of sensitive financial data, including bank account, credit card information, or social security number information; encrypting the sensitive financial data into a data stream; and converting the data stream into tagged data that complies with an XML format. | 9. A method for privatizing sensitive financial data in a message, comprising: parsing the message as entered in a chat window for the identification of sensitive financial data, including bank account, credit card information, or social security number information; encrypting the sensitive financial data into a data stream; and converting the data stream into tagged data that complies with an XML format. 11. The method of claim 9 , further comprising sending the tagged data to a recipient processing device. | 0.559322 |
9,922,050 | 7 | 14 | 7. A computer-implemented method comprising: under control of a hardware computing device configured with specific computer-executable instructions, receiving a search phrase; determining a plurality of color palettes based at least in part on the search phrase being associated with the plurality of color palettes, wherein each color palette of the plurality of color palettes comprises one or more colors; selecting a subset of color palettes from the plurality of color palettes, wherein selecting the subset of color palettes comprises: determining, from the plurality of color palettes, a greater number of color palettes comprising a first color and having a creation time or update time within a threshold period of time than a number of color palettes comprising the first color and having a creation time or update time outside of the threshold period; and determining, from the plurality of color palettes, each color palette of the subset of the plurality of color palettes comprising the first color; selecting a priority color palette from the subset of color palettes, wherein the priority color palette is selected from the subset of color palettes based at least in part on a creation time or update time of the priority color palette; identifying a first set of images corresponding to a first color of the priority color palette, wherein the identification of the first set of images is based at least in part on a first category associated with the first set of images; identifying a second set of images corresponding to a second color of the priority color palette, wherein the identification of the second set of images is based at least in part on a second category associated with the second set of images; and providing the first set of images and the second set of images to a first computing device. | 7. A computer-implemented method comprising: under control of a hardware computing device configured with specific computer-executable instructions, receiving a search phrase; determining a plurality of color palettes based at least in part on the search phrase being associated with the plurality of color palettes, wherein each color palette of the plurality of color palettes comprises one or more colors; selecting a subset of color palettes from the plurality of color palettes, wherein selecting the subset of color palettes comprises: determining, from the plurality of color palettes, a greater number of color palettes comprising a first color and having a creation time or update time within a threshold period of time than a number of color palettes comprising the first color and having a creation time or update time outside of the threshold period; and determining, from the plurality of color palettes, each color palette of the subset of the plurality of color palettes comprising the first color; selecting a priority color palette from the subset of color palettes, wherein the priority color palette is selected from the subset of color palettes based at least in part on a creation time or update time of the priority color palette; identifying a first set of images corresponding to a first color of the priority color palette, wherein the identification of the first set of images is based at least in part on a first category associated with the first set of images; identifying a second set of images corresponding to a second color of the priority color palette, wherein the identification of the second set of images is based at least in part on a second category associated with the second set of images; and providing the first set of images and the second set of images to a first computing device. 14. The computer-implemented method of claim 7 , further comprising: identifying a first item based at least in part on a first image of the first set of images; and determining metadata associated with the first item. | 0.511211 |
8,462,131 | 1 | 2 | 1. An electronic device comprising: a housing; a touch screen display carried by said housing; and a processor being carried by said housing and cooperating with said touch screen display for operating a virtual keyboard on said touch screen display for receiving textual input from a user, the virtual keyboard comprising a plurality of keys with at least one remappable key with a set position in the virtual keyboard, and selectively assigning a predicted key value to the at least one remappable key based upon prior textual input. | 1. An electronic device comprising: a housing; a touch screen display carried by said housing; and a processor being carried by said housing and cooperating with said touch screen display for operating a virtual keyboard on said touch screen display for receiving textual input from a user, the virtual keyboard comprising a plurality of keys with at least one remappable key with a set position in the virtual keyboard, and selectively assigning a predicted key value to the at least one remappable key based upon prior textual input. 2. The electronic device of claim 1 wherein said processor operates the virtual keyboard in a first mode where the plurality of keys comprises a plurality of letter character keys, and in a second mode where the plurality of keys comprises a plurality of numeric keys. | 0.5 |
8,379,801 | 15 | 16 | 15. The computer-readable media storage medium of claim 14 , wherein displaying the another block of text within the text caption includes identifying at least one word within the another block of text with a tag. | 15. The computer-readable media storage medium of claim 14 , wherein displaying the another block of text within the text caption includes identifying at least one word within the another block of text with a tag. 16. The computer-readable media storage medium of claim 15 , wherein identifying at least one word within the another block of text with a tag comprises highlighting the at least one word. | 0.5 |
9,495,267 | 10 | 11 | 10. The method of claim 9 , further including: receiving third party annotation information generated by the third party and linking the received third party annotation information with one or more items of the test stimulus information or the test response information; and storing the third party annotation information on storage accessible by the proxy module. | 10. The method of claim 9 , further including: receiving third party annotation information generated by the third party and linking the received third party annotation information with one or more items of the test stimulus information or the test response information; and storing the third party annotation information on storage accessible by the proxy module. 11. The method of claim 10 , wherein the third party annotation information includes a narrative of a performance of the DUT generated by the third party. | 0.837553 |
6,094,648 | 1 | 2 | 1. A graphical user interface for displaying results of a query applied to a database of text documents, the query including at least one key word, the results including at least one retrieved text document, the interface comprising: a plurality of relevance indicator locations on a display device, each indicator location being associated with a respective one of the at least one retrieved document, each indicator location being adapted to display at least one graphical indicator, each graphical indicator comprising a graphical representation of a respective relevance of a respective one of the at least one keyword in the respective one of the at least one retrieved document. | 1. A graphical user interface for displaying results of a query applied to a database of text documents, the query including at least one key word, the results including at least one retrieved text document, the interface comprising: a plurality of relevance indicator locations on a display device, each indicator location being associated with a respective one of the at least one retrieved document, each indicator location being adapted to display at least one graphical indicator, each graphical indicator comprising a graphical representation of a respective relevance of a respective one of the at least one keyword in the respective one of the at least one retrieved document. 2. The interface of claim 1 wherein each graphical representation is a respective bar and the size of the bar indicates the respective relevance. | 0.5 |
9,223,871 | 15 | 18 | 15. A method for automatically constructing wrappers across a plurality of domains, executed by a processor, the method comprising: identifying a first target string that is consistent or near-consistent across the plurality of domains, each of the plurality of domains comprising one or more documents common to at least one other of the plurality of domains; creating a first wrapper for a first domain from the first target string; extracting additional target information based on the first target string from one or more documents in the first domain; searching domains in the plurality of domains other than the first domain to determine if any of the other domains comprises at least one document having at least one portion of the additional target information; and creating a second wrapper for at least one of the other domains in the plurality of domains based on the first target string and extracted additional target information. | 15. A method for automatically constructing wrappers across a plurality of domains, executed by a processor, the method comprising: identifying a first target string that is consistent or near-consistent across the plurality of domains, each of the plurality of domains comprising one or more documents common to at least one other of the plurality of domains; creating a first wrapper for a first domain from the first target string; extracting additional target information based on the first target string from one or more documents in the first domain; searching domains in the plurality of domains other than the first domain to determine if any of the other domains comprises at least one document having at least one portion of the additional target information; and creating a second wrapper for at least one of the other domains in the plurality of domains based on the first target string and extracted additional target information. 18. The method of claim 15 , wherein extracting additional target information from one or more documents in the first domain is performed by applying the first wrapper to the documents in the first domain. | 0.83441 |
9,720,899 | 1 | 4 | 1. A method comprising: a processor selecting a communication goal data structure, the selected communication goal data structure comprising (1) first data that is indicative of a content block data structure associated with the selected communication goal data structure, and (2) second data that is indicative of a plurality of communication goal parameters whose values are variable, the associated content block data structure comprising a parameterized narrative analytics model, the parameterized narrative analytics model configured to specify how a data set is to be analyzed in order that a narrative be automatically generated based upon the data set, and wherein the parameterized narrative analytics model includes a plurality of angles for testing against the data set to identify an angle that is deemed to accurately characterize the data set, the angles having a plurality of applicability conditions, wherein the selected communication goal data structure comprises a data structure configured to specify how a status for a subject is to be explained, the communication goal parameters that are associated with the explain subject status communication goal data structure comprising: a subject metric parameter; a time frame parameter; and a driver parameter for the subject metric parameter; the processor configuring the content block data structure associated with the selected communication goal data structure based on the communication goal parameters associated with the selected communication goal data structure, wherein the configuring step comprises: the processor receiving input; the processor defining a plurality of values for the communication goal parameters based on the received input; and the processor defining the content block data structure associated with the selected communication goal data structure as a function of the defined values for the communication goal parameters; the processor storing the configured content block data structure in memory to thereby enable an automated generation of the narrative based on the configured content block data structure as applied to the data set; the processor receiving the data set; the processor processing the received data set based on the configured content block data structure; and the processor automatically generating a narrative about the data set based on the processing, wherein the generated narrative is tailored to the explain subject status communication goal. | 1. A method comprising: a processor selecting a communication goal data structure, the selected communication goal data structure comprising (1) first data that is indicative of a content block data structure associated with the selected communication goal data structure, and (2) second data that is indicative of a plurality of communication goal parameters whose values are variable, the associated content block data structure comprising a parameterized narrative analytics model, the parameterized narrative analytics model configured to specify how a data set is to be analyzed in order that a narrative be automatically generated based upon the data set, and wherein the parameterized narrative analytics model includes a plurality of angles for testing against the data set to identify an angle that is deemed to accurately characterize the data set, the angles having a plurality of applicability conditions, wherein the selected communication goal data structure comprises a data structure configured to specify how a status for a subject is to be explained, the communication goal parameters that are associated with the explain subject status communication goal data structure comprising: a subject metric parameter; a time frame parameter; and a driver parameter for the subject metric parameter; the processor configuring the content block data structure associated with the selected communication goal data structure based on the communication goal parameters associated with the selected communication goal data structure, wherein the configuring step comprises: the processor receiving input; the processor defining a plurality of values for the communication goal parameters based on the received input; and the processor defining the content block data structure associated with the selected communication goal data structure as a function of the defined values for the communication goal parameters; the processor storing the configured content block data structure in memory to thereby enable an automated generation of the narrative based on the configured content block data structure as applied to the data set; the processor receiving the data set; the processor processing the received data set based on the configured content block data structure; and the processor automatically generating a narrative about the data set based on the processing, wherein the generated narrative is tailored to the explain subject status communication goal. 4. The method of claim 1 wherein the input receiving step comprises the processor receiving the input from a user through a user interface, the user interface comprising a plurality of fields for user input of values for the communication goal parameters associated with the selected communication goal data structure. | 0.5 |
7,505,894 | 11 | 12 | 11. The method of claim 10 wherein learning to assign scores comprises: collecting sets of features from ordered target language dependency structures in the corpus; and using a machine learning technique on the set of features to produce a model for assigning scores to orderings of target language dependency structures given source language dependency structures and alignments between the source and target dependency structures. | 11. The method of claim 10 wherein learning to assign scores comprises: collecting sets of features from ordered target language dependency structures in the corpus; and using a machine learning technique on the set of features to produce a model for assigning scores to orderings of target language dependency structures given source language dependency structures and alignments between the source and target dependency structures. 12. The method of claim 11 wherein using a machine learning technique comprises using decision trees. | 0.509709 |
9,076,182 | 13 | 14 | 13. The medium of claim 10 , wherein determining, based on the statistical analysis, respective categorizations of one or more web page segments in the one or more web pages in the financial institution website comprises: determining a respective plurality of scores for each web page segment in the one or more web pages, each score in the plurality of scores indicating a confidence that a web page segment corresponds to a particular category; determining, for each web page segment, whether a score in the respective plurality of scores satisfies a threshold; and in response to determining that a score in the respective plurality of scores for a web page segment satisfies a threshold, associating the web page segment with a particular category corresponding to the score. | 13. The medium of claim 10 , wherein determining, based on the statistical analysis, respective categorizations of one or more web page segments in the one or more web pages in the financial institution website comprises: determining a respective plurality of scores for each web page segment in the one or more web pages, each score in the plurality of scores indicating a confidence that a web page segment corresponds to a particular category; determining, for each web page segment, whether a score in the respective plurality of scores satisfies a threshold; and in response to determining that a score in the respective plurality of scores for a web page segment satisfies a threshold, associating the web page segment with a particular category corresponding to the score. 14. The medium of claim 13 , further comprising: in response to determining that no score in the respective plurality of scores for a web page segment satisfy a threshold, providing the web page segment to a user for manual categorization; and associating the web page segment with a category specified by the user. | 0.5 |
9,710,556 | 9 | 14 | 9. A method in a content recommendation computing system, the method comprising: presenting a first user interface control that is configured to create a new entity collection in response to received user selection of indications of multiple entities and suggest one or more additional entities to add to an existing collection; presenting a second user interface control that displays information about collections created by multiple different users of the content recommendation computing system; receiving, via the first user interface control, indications of multiple entities that are each referenced by one or more indexed articles and that are each electronically represented in the content recommendation computing system; under control of the content recommendation computing system, automatically recommending one or more entities based on the indicated multiple entities, by: determining shared characteristics of the multiple entities, wherein each shared characteristic is the same for each of the multiple entities, the shared characteristics including common facets and common key terms common to the multiple entities, wherein the common facets are category values, type values, and/or characteristic values of the multiple entities and are sub-type values of a top-level entity type electronically represented by the content recommendation computing system; determining a plurality of entities that includes at least a first entity that appears in an article in a relationship with one of the common facets, a second entity that appears in an article in context with one of the common key terms, and a third entity that appears in an article in a relationship with one of the multiple entities and in context with another of the multiple entities, wherein the first entity appears in an article in a relationship with one of the common facets when the first entity appears as a subject or object of a first subject-verb-object relation present in the article in which the one of the common facets appears as the other of the subject or object of the first subject-verb-object relation; and ordering the determined plurality of entities, based on entity frequency counts of frequency each entity appears in the indexed articles and on whether the determined plurality of entities share one or more of the common facets; and presenting on the first user interface control the ordered plurality of entities as suggested additions to the multiple entities; adding one of the ordered plurality of entities to the multiple entities to form modified multiple entities, the added entity selected by a user, the added entity selected by a user via the first user interface control; determining multiple articles that each include references to at least two of the modified multiple entities; determining whether one of the modified multiple entities appears in an article in a relationship with a facet common to entities of the modified multiple entities and in the article in context with key terms common to the entities of the modified multiple entities, wherein the one of the modified multiple entities appears in an article in a relationship with the facet common to entities of the modified multiple entities when the one of the modified multiple entities appears as a subject or object of a second subject-verb-object relation present in the article in which the facet common to the entities of the modified multiple entities appears as the other of the subject or object of the second subject-verb-object relation; and storing the determined multiple articles. | 9. A method in a content recommendation computing system, the method comprising: presenting a first user interface control that is configured to create a new entity collection in response to received user selection of indications of multiple entities and suggest one or more additional entities to add to an existing collection; presenting a second user interface control that displays information about collections created by multiple different users of the content recommendation computing system; receiving, via the first user interface control, indications of multiple entities that are each referenced by one or more indexed articles and that are each electronically represented in the content recommendation computing system; under control of the content recommendation computing system, automatically recommending one or more entities based on the indicated multiple entities, by: determining shared characteristics of the multiple entities, wherein each shared characteristic is the same for each of the multiple entities, the shared characteristics including common facets and common key terms common to the multiple entities, wherein the common facets are category values, type values, and/or characteristic values of the multiple entities and are sub-type values of a top-level entity type electronically represented by the content recommendation computing system; determining a plurality of entities that includes at least a first entity that appears in an article in a relationship with one of the common facets, a second entity that appears in an article in context with one of the common key terms, and a third entity that appears in an article in a relationship with one of the multiple entities and in context with another of the multiple entities, wherein the first entity appears in an article in a relationship with one of the common facets when the first entity appears as a subject or object of a first subject-verb-object relation present in the article in which the one of the common facets appears as the other of the subject or object of the first subject-verb-object relation; and ordering the determined plurality of entities, based on entity frequency counts of frequency each entity appears in the indexed articles and on whether the determined plurality of entities share one or more of the common facets; and presenting on the first user interface control the ordered plurality of entities as suggested additions to the multiple entities; adding one of the ordered plurality of entities to the multiple entities to form modified multiple entities, the added entity selected by a user, the added entity selected by a user via the first user interface control; determining multiple articles that each include references to at least two of the modified multiple entities; determining whether one of the modified multiple entities appears in an article in a relationship with a facet common to entities of the modified multiple entities and in the article in context with key terms common to the entities of the modified multiple entities, wherein the one of the modified multiple entities appears in an article in a relationship with the facet common to entities of the modified multiple entities when the one of the modified multiple entities appears as a subject or object of a second subject-verb-object relation present in the article in which the facet common to the entities of the modified multiple entities appears as the other of the subject or object of the second subject-verb-object relation; and storing the determined multiple articles. 14. The method of claim 9 further comprising: ordering the multiple articles based on article recency and/or article relevance. | 0.80581 |
8,478,702 | 23 | 29 | 23. A characteristic-based server comprising: a processor; and memory containing instructions executed by the processor to perform a method comprising; obtaining, at a computer, a first set of relationships between information atoms, wherein at least one of the information atoms comprises a descriptor of an individual; identifying baselines for the first set of relationships; obtaining a second set of relationships between the information atoms; determining a set of differences between the baselines and the relationships in the second set of relationships; identifying a third set of relationships between the set of differences and the descriptor; and associating the differences with the descriptor, based on the third set of relationships. | 23. A characteristic-based server comprising: a processor; and memory containing instructions executed by the processor to perform a method comprising; obtaining, at a computer, a first set of relationships between information atoms, wherein at least one of the information atoms comprises a descriptor of an individual; identifying baselines for the first set of relationships; obtaining a second set of relationships between the information atoms; determining a set of differences between the baselines and the relationships in the second set of relationships; identifying a third set of relationships between the set of differences and the descriptor; and associating the differences with the descriptor, based on the third set of relationships. 29. The system of claim 23 , wherein the memory further comprises instructions operable to: recognize a pattern in the differences; and adjust a relationship in the second set of relationships based on the pattern and the baselines. | 0.792487 |
8,812,982 | 1 | 9 | 1. A method comprising: retrieving profile information related to the user, the profile information including the user's tag affinities; selecting questions based on tags related to the user's tag affinities; for each of the questions, determining a score for the question by combining the user's tag affinities for the tags; for each of the questions, adjusting the score for the question based on a duration of time elapsed since the user last interacted with one or more questions associated with the tags; sorting the questions based on the adjusted scores for the questions; and providing the highest sorted question in the interface for display to the user. | 1. A method comprising: retrieving profile information related to the user, the profile information including the user's tag affinities; selecting questions based on tags related to the user's tag affinities; for each of the questions, determining a score for the question by combining the user's tag affinities for the tags; for each of the questions, adjusting the score for the question based on a duration of time elapsed since the user last interacted with one or more questions associated with the tags; sorting the questions based on the adjusted scores for the questions; and providing the highest sorted question in the interface for display to the user. 9. The method of claim 1 , wherein providing the highest sorted question in the interface for display to the user further comprises: embedding the interface in a third party application associated with the social networking system; and providing the question in the embedded interface with selectable links to direct the user to the social networking system. | 0.659696 |
9,710,360 | 1 | 5 | 1. A method for generating code executable in a target processing environment, the method comprising: processing a first command line by a first processor, wherein the first command line is generated by an integrated development environment (IDE), said processing the first command line executes a command line tool as a step to produce code executable by the target processing environment and generates one or more output entries; comparing the one or more output entries to a concatenated regular expression to determine whether the one or more output entries correspond to a first class of error identifiers, wherein the concatenated regular expression comprises a complete set of trigger expressions corresponding to the first class of error identifiers; if the one or more output entries correspond to the first class of error identifiers, then determining an error identifier of the first class of error identifiers corresponding to the one or more output entries, and providing information corresponding to the error identifier and the one or more output entries to the IDE; and if the one or more output entries do not correspond to the first class of error identifiers and if the one or more output entries correspond to one of a second class of error identifiers, then providing information corresponding to the one of the second class of error identifiers and the one or more output entries to the IDE. | 1. A method for generating code executable in a target processing environment, the method comprising: processing a first command line by a first processor, wherein the first command line is generated by an integrated development environment (IDE), said processing the first command line executes a command line tool as a step to produce code executable by the target processing environment and generates one or more output entries; comparing the one or more output entries to a concatenated regular expression to determine whether the one or more output entries correspond to a first class of error identifiers, wherein the concatenated regular expression comprises a complete set of trigger expressions corresponding to the first class of error identifiers; if the one or more output entries correspond to the first class of error identifiers, then determining an error identifier of the first class of error identifiers corresponding to the one or more output entries, and providing information corresponding to the error identifier and the one or more output entries to the IDE; and if the one or more output entries do not correspond to the first class of error identifiers and if the one or more output entries correspond to one of a second class of error identifiers, then providing information corresponding to the one of the second class of error identifiers and the one or more output entries to the IDE. 5. The method of claim 1 wherein the second class of error identifiers corresponds to a set of stateful error parsers, wherein a stateful error parser comprises an error parser using multiple output lines of regular expressions to determine the nature of an error. | 0.597561 |
9,761,278 | 1 | 4 | 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. 4. The system of claim 1 , wherein the digital media content includes a spherical video segment. | 0.884337 |
10,147,050 | 8 | 9 | 8. The method of claim 1 , further comprising: generating, by applying the first ML model to a second candidate answer, a second confidence score value for the second candidate answer; generating, by applying the second ML model to the second candidate answer, a second measure of expected change to the second confidence score value based at least in part on supporting evidence features; determining that the second measure of expected change to the second confidence score value exceeds a second threshold; and processing items of supporting evidence for the second candidate answer. | 8. The method of claim 1 , further comprising: generating, by applying the first ML model to a second candidate answer, a second confidence score value for the second candidate answer; generating, by applying the second ML model to the second candidate answer, a second measure of expected change to the second confidence score value based at least in part on supporting evidence features; determining that the second measure of expected change to the second confidence score value exceeds a second threshold; and processing items of supporting evidence for the second candidate answer. 9. The method of claim 8 , wherein the second ML model specifies: (i) a weighted coefficient value for processing items of supporting evidence for the first candidate answer, and (ii) a plurality of supporting evidence feature score values, wherein each supporting evidence feature score value of the plurality of supporting evidence feature score values was observed during a training session of the QA system using supporting evidence processing for each of a plurality of candidate answers generated during the training session. | 0.5 |
8,650,024 | 7 | 8 | 7. The method of claim 1 , wherein determining that a plurality of addresses cannot be geocoded by a geocoding system includes attempting to geocode each potential address in a corpus of potential addresses by sending each potential address to the geocoding system. | 7. The method of claim 1 , wherein determining that a plurality of addresses cannot be geocoded by a geocoding system includes attempting to geocode each potential address in a corpus of potential addresses by sending each potential address to the geocoding system. 8. The method of claim 7 , wherein each potential address is an address for a same country. | 0.5 |
9,817,908 | 10 | 11 | 10. The method of claim 8 , further comprising, in response to associating the news event with the story, chaining the news event with other news events of the story. | 10. The method of claim 8 , further comprising, in response to associating the news event with the story, chaining the news event with other news events of the story. 11. The method of claim 10 , wherein chaining includes comparing the news event to all other news events of the associated story that include a time parameter that is within a specified time of a time parameter of the news event, wherein the time parameter corresponds to a date the news event was reported. | 0.5 |
5,546,107 | 7 | 22 | 7. A method according to claim 1 wherein said matching step b comprises the step of: building an isomorphism between two subsets of 0-cells by several successive runs of different filtering procedures which reject certain potential matches if they are recognized as invalid. | 7. A method according to claim 1 wherein said matching step b comprises the step of: building an isomorphism between two subsets of 0-cells by several successive runs of different filtering procedures which reject certain potential matches if they are recognized as invalid. 22. A method according to claim 7 comprising the steps of: a. producing a list of potentially matching 1-cells by comparing boxes read from a box-file; and b. placing the resulting lists in a parabox-file. | 0.804015 |
8,904,320 | 27 | 28 | 27. A computer system for verification analysis comprising: a memory which stores instructions; one or more processors coupled to the memory wherein the one or more processors are configured to: obtain a design description including set of constraints wherein the set of constraints includes a multiplication constraint; analyze the set of constraints to identify the multiplication constraint; perform factorization to produce factoring values that solve the multiplication constraint, wherein the factorization is performed on an overflow representation of the number; and solve a design problem within the design description based on the factoring values. | 27. A computer system for verification analysis comprising: a memory which stores instructions; one or more processors coupled to the memory wherein the one or more processors are configured to: obtain a design description including set of constraints wherein the set of constraints includes a multiplication constraint; analyze the set of constraints to identify the multiplication constraint; perform factorization to produce factoring values that solve the multiplication constraint, wherein the factorization is performed on an overflow representation of the number; and solve a design problem within the design description based on the factoring values. 28. The system of claim 27 wherein the set of constraints includes a second multiplication constraint that includes one or more common variables with the multiplication constraint, wherein the one or more processors are further configured to perform factorization for the second multiplication constraint and to determine a greatest common divisor (GCD) for the multiplication constraint and the second multiplication constraint, and to perform factorization of the GCD to produce factoring values for the one or more common variables. | 0.5 |
8,190,439 | 24 | 25 | 24. A system according to claim 20 , wherein the grammar guesser is configured to automatically: compare the contents of the element to contents of a plurality of predefined lists of words, each of the predefined list of words corresponding to a respective predefined class; and if the contents of the element correspond to a word in one of the predefined lists of words, assign the class corresponding to the list to the element. | 24. A system according to claim 20 , wherein the grammar guesser is configured to automatically: compare the contents of the element to contents of a plurality of predefined lists of words, each of the predefined list of words corresponding to a respective predefined class; and if the contents of the element correspond to a word in one of the predefined lists of words, assign the class corresponding to the list to the element. 25. A system according to claim 24 , wherein the grammar guesser is configured to: if the contents of the element do not correspond to a word in any of the predefined lists of words, assign a default class to the element. | 0.791509 |
9,286,061 | 6 | 10 | 6. A method comprising: causing a document to be displayed in a documentation display area of a user interface; causing a plurality of macro options to be displayed in a macro display area of the user interface that is adjacent to the documentation display area, individual ones of the plurality of macro options being associated with different external components configured to access different types of external medical data; determining an identifier associated with the document; receiving, within the macro display area, a selection of a macro option from the plurality of macro options displayed, wherein selection of the macro option initiates a macro that provides instructions to launch an external component; launching, based at least in part on the macro, the external component within a launched external component display area of the user interface, the launched external component display area being presented contemporaneously with the documentation display area and the macro display area; providing, by at least one processor, component-specific context data of the document to the launched external component; accessing, by the launched external component and via at least one remote storage location, external medical data of a particular type for a user identified by the identifier; causing the accessed external medical data to be displayed within the launched external component display area, wherein the accessed external medical data corresponds to the component-specific context data of the document; processing user interactions associated with the accessed external medical data displayed within the launched external component display area, the user interactions modifying the accessed external medical data to produce modified external medical data; capturing a message sent from the launched external component to the at least one remote storage location, the message including at least a portion of the modified external medical data; and automatically rendering a portion of the document displayed in the documentation display area based at least in part on the portion of the modified external medical data included in the captured message. | 6. A method comprising: causing a document to be displayed in a documentation display area of a user interface; causing a plurality of macro options to be displayed in a macro display area of the user interface that is adjacent to the documentation display area, individual ones of the plurality of macro options being associated with different external components configured to access different types of external medical data; determining an identifier associated with the document; receiving, within the macro display area, a selection of a macro option from the plurality of macro options displayed, wherein selection of the macro option initiates a macro that provides instructions to launch an external component; launching, based at least in part on the macro, the external component within a launched external component display area of the user interface, the launched external component display area being presented contemporaneously with the documentation display area and the macro display area; providing, by at least one processor, component-specific context data of the document to the launched external component; accessing, by the launched external component and via at least one remote storage location, external medical data of a particular type for a user identified by the identifier; causing the accessed external medical data to be displayed within the launched external component display area, wherein the accessed external medical data corresponds to the component-specific context data of the document; processing user interactions associated with the accessed external medical data displayed within the launched external component display area, the user interactions modifying the accessed external medical data to produce modified external medical data; capturing a message sent from the launched external component to the at least one remote storage location, the message including at least a portion of the modified external medical data; and automatically rendering a portion of the document displayed in the documentation display area based at least in part on the portion of the modified external medical data included in the captured message. 10. The method according to claim 6 , wherein the automatically rendering the portion of the document comprises adding information from the message to the portion of the document. | 0.729607 |
9,431,028 | 1 | 11 | 1. A digital conversation generation processor-implemented apparatus, comprising: a memory; a component collection in the memory, including: a processor disposed in communication with the memory, and configured to issue a plurality of processing instructions from the component collection stored in the memory, wherein the processor issues instructions from the component collection, stored in the memory, to: instantiate a processor-implemented dialogue agent application; populate the instantiated dialogue agent application on a dialogue platform; receive a dialogue action from an individual target via the dialogue platform; generate a dialogue line in response to the received dialogue action via the dialogue agent; record an interactive dialogue comprising the dialogue action and the generated dialogue line; determine a plurality of parameters associated with the interactive dialogue; allocate a value point to each dialogue element of the interactive dialogue; receive pricing information from an ad exchange; adjust the allocated value point of each dialogue element based on the received pricing information; create a digital conversation asset comprising at least the retrieved interactive dialogue associated with the allocated value point to each dialogue element of the interactive dialogue; instantiate the created digital conversation asset; determine a key term of the digital conversation asset; determine a value for the digital conversation asset at least based on the determined key term of the digital conversation asset and the allocated value point to each dialogue element of the interactive dialogue; receive information indicating a demand for the digital conversation asset; generate a subsequent exchangeable package for the ad exchange based on the instantiated digital conversation asset; determine a value for the subsequent exchangeable package; and facilitate a transaction of the subsequent exchangeable package between an owner of the digital asset and an ad participant. | 1. A digital conversation generation processor-implemented apparatus, comprising: a memory; a component collection in the memory, including: a processor disposed in communication with the memory, and configured to issue a plurality of processing instructions from the component collection stored in the memory, wherein the processor issues instructions from the component collection, stored in the memory, to: instantiate a processor-implemented dialogue agent application; populate the instantiated dialogue agent application on a dialogue platform; receive a dialogue action from an individual target via the dialogue platform; generate a dialogue line in response to the received dialogue action via the dialogue agent; record an interactive dialogue comprising the dialogue action and the generated dialogue line; determine a plurality of parameters associated with the interactive dialogue; allocate a value point to each dialogue element of the interactive dialogue; receive pricing information from an ad exchange; adjust the allocated value point of each dialogue element based on the received pricing information; create a digital conversation asset comprising at least the retrieved interactive dialogue associated with the allocated value point to each dialogue element of the interactive dialogue; instantiate the created digital conversation asset; determine a key term of the digital conversation asset; determine a value for the digital conversation asset at least based on the determined key term of the digital conversation asset and the allocated value point to each dialogue element of the interactive dialogue; receive information indicating a demand for the digital conversation asset; generate a subsequent exchangeable package for the ad exchange based on the instantiated digital conversation asset; determine a value for the subsequent exchangeable package; and facilitate a transaction of the subsequent exchangeable package between an owner of the digital asset and an ad participant. 11. The apparatus of claim 1 , wherein the interactive dialogue is saved in a voice xml format. | 0.88125 |
9,602,987 | 1 | 12 | 1. A digital mobile telecommunications method comprising: sending, by a content provider server, to a telecommunications device, via a digital mobile telecommunications network, a message, wherein the telecommunications device comprises a graphical display, wherein the telecommunications device is configured for connecting to the digital mobile telecommunications network, and wherein the message comprises at least a text portion; receiving the message by the telecommunications device via the digital mobile telecommunications network; sending, by the telecommunications device, the message to a text classification system via a wired digital network and a digital mobile telecommunications network, wherein the wired digital network is connected to the digital mobile telecommunications network, to the content provider server, and to the text classification system; receiving, by the text classification system, via the wired digital network, the message; creating text tokens from the text portion, using a tokenizing algorithm stored in a memory device, by the text classification system; transforming, by the text classification system, based on a stemming algorithm stored in a memory device, the text tokens into stemmed tokens; determining, by the text classification system, based on a named entity algorithm stored in a memory device, a word classifier for each of the stemmed tokens; calculating, by the text classification system, based on a classification algorithm stored in a memory device, a message classification of the message, wherein inputs to the classification algorithm stored in the memory device are the stemmed tokens and the determined word classifier for each of the stemmed tokens; sending, by the text classification system, to the telecommunications device, the message classification via the wired network and via the digital mobile telecommunications network; receiving, by the telecommunications device, the message classification via the digital mobile telecommunications network; and displaying, by the telecommunications device, the message on the display, wherein the displaying of the message is modified according to the message classification. | 1. A digital mobile telecommunications method comprising: sending, by a content provider server, to a telecommunications device, via a digital mobile telecommunications network, a message, wherein the telecommunications device comprises a graphical display, wherein the telecommunications device is configured for connecting to the digital mobile telecommunications network, and wherein the message comprises at least a text portion; receiving the message by the telecommunications device via the digital mobile telecommunications network; sending, by the telecommunications device, the message to a text classification system via a wired digital network and a digital mobile telecommunications network, wherein the wired digital network is connected to the digital mobile telecommunications network, to the content provider server, and to the text classification system; receiving, by the text classification system, via the wired digital network, the message; creating text tokens from the text portion, using a tokenizing algorithm stored in a memory device, by the text classification system; transforming, by the text classification system, based on a stemming algorithm stored in a memory device, the text tokens into stemmed tokens; determining, by the text classification system, based on a named entity algorithm stored in a memory device, a word classifier for each of the stemmed tokens; calculating, by the text classification system, based on a classification algorithm stored in a memory device, a message classification of the message, wherein inputs to the classification algorithm stored in the memory device are the stemmed tokens and the determined word classifier for each of the stemmed tokens; sending, by the text classification system, to the telecommunications device, the message classification via the wired network and via the digital mobile telecommunications network; receiving, by the telecommunications device, the message classification via the digital mobile telecommunications network; and displaying, by the telecommunications device, the message on the display, wherein the displaying of the message is modified according to the message classification. 12. The digital mobile telecommunications method of claim 1 , wherein the method further comprises requesting the message from the content provider server by the telecommunications device, and wherein the message to the telecommunications device by the content provider server is sent via the wired digital network and the digital mobile telecommunications network. | 0.781437 |
9,288,321 | 10 | 13 | 10. A method comprising: determining, using one or more hardware processors, interactive voice response (IVR) flow information from each webpage element of a plurality of webpage elements in a webpage, wherein the IVR flow information comprises a sequence of audio outputs for presentation of the plurality of webpage elements to a user using a device; transmitting a software component library to the device for processing on a user initiation to present an IVR interface to the user using the IVR flow information, wherein the user utilizes the IVR interface to enter at least one input to at least one of the plurality of webpage elements in response to the sequence of the audio outputs; and receiving the at least one input from the user. | 10. A method comprising: determining, using one or more hardware processors, interactive voice response (IVR) flow information from each webpage element of a plurality of webpage elements in a webpage, wherein the IVR flow information comprises a sequence of audio outputs for presentation of the plurality of webpage elements to a user using a device; transmitting a software component library to the device for processing on a user initiation to present an IVR interface to the user using the IVR flow information, wherein the user utilizes the IVR interface to enter at least one input to at least one of the plurality of webpage elements in response to the sequence of the audio outputs; and receiving the at least one input from the user. 13. The method of claim 10 , wherein the IVR flow information comprises a separate file or database with links to the plurality of webpage elements. | 0.509934 |
8,176,413 | 1 | 4 | 1. A data processing method, comprising: receiving an electronically parseable document; and scanning the document according to at least one predefined rule to determine if the document is suspicious, wherein if the document is determined not to be suspicious, passing the document from a scanner to a first parser, and parsing the document with the first parser, and wherein if the document is determined to be suspicious, passing the document from the scanner to a second parser without passing the document from the scanner to the first parser, and parsing the document with the second parser, wherein the document is determined to be suspicious if the document includes a property that may cause a receiving computer system to fail, wherein the document is determined to be suspicious if the document comprises a well-formed document within a plurality of rules, but when the document is parsed, the document fails or slows down the receiving computer system to fail, and wherein the property includes at least one of a length of an attribute name, a number of an attribute per element, and a number of nested elements that exceeds a predetermined threshold. | 1. A data processing method, comprising: receiving an electronically parseable document; and scanning the document according to at least one predefined rule to determine if the document is suspicious, wherein if the document is determined not to be suspicious, passing the document from a scanner to a first parser, and parsing the document with the first parser, and wherein if the document is determined to be suspicious, passing the document from the scanner to a second parser without passing the document from the scanner to the first parser, and parsing the document with the second parser, wherein the document is determined to be suspicious if the document includes a property that may cause a receiving computer system to fail, wherein the document is determined to be suspicious if the document comprises a well-formed document within a plurality of rules, but when the document is parsed, the document fails or slows down the receiving computer system to fail, and wherein the property includes at least one of a length of an attribute name, a number of an attribute per element, and a number of nested elements that exceeds a predetermined threshold. 4. The method according to claim 1 , further comprising monitoring a performance of the first parser, and adjusting at least one of said at least one predefined rule in dependence on the monitoring. | 0.558036 |
4,816,994 | 6 | 7 | 6. The method of acquiring rules for a computer-based expert system, said rules being characterized by conditions involving queries having more than one possible answer, said method comprising, receiving a first sentence portion as automatically determined to conform to a predetermined allowable grammatical construction fitting within an allowable logical sequence, also receiving at least a second sentence portion as automatically determined to conform to a predetermined allowable grammatical construction fitting within an allowable logical sequence with the first sentence portion, and employing said conforming portions to provide an expert rule, wherein at least upon non-conformation of a sentence portion, feedback is provided in the form of a choice of acceptable inputs as would satisfy currently allowable grammatical construction. | 6. The method of acquiring rules for a computer-based expert system, said rules being characterized by conditions involving queries having more than one possible answer, said method comprising, receiving a first sentence portion as automatically determined to conform to a predetermined allowable grammatical construction fitting within an allowable logical sequence, also receiving at least a second sentence portion as automatically determined to conform to a predetermined allowable grammatical construction fitting within an allowable logical sequence with the first sentence portion, and employing said conforming portions to provide an expert rule, wherein at least upon non-conformation of a sentence portion, feedback is provided in the form of a choice of acceptable inputs as would satisfy currently allowable grammatical construction. 7. The method according to claim 6 wherein said choice is provided in the form of a selectable menu. | 0.739583 |
9,710,435 | 1 | 8 | 1. An apparatus comprising: a processor; a computer readable memory; a user interface to receive user inputs and to display outputs to a user; and wherein: the computer readable memory contains a series of computer-executable instructions to be executed by the processor which enable the formulation of a mathematical expression by the user via the user interface, the mathematical expression comprising a selection of objects from a library of object types contained in the computer readable memory, the object types comprising primitive objects and non-primitive objects, wherein non-primitive objects have at least one field which in turn can host additional objects, and primitive objects have no fields, and wherein: the mathematical expression formulated by the user is defined by a single computer readable data structure which is generated automatically by the series of computer-executable instructions in response to the user inputs, and is stored in the computer readable memory; each object and each field is defined by a mathematical significance assigned thereto within the single computer readable data structure; the single computer readable data structure combines functions of a content tree data structure, and of a presentation tree data structure, for the mathematical expression; the single computer readable data structure contains presentation data sufficient to enable complete, automatic formatting of the mathematical expression for the display; the single computer readable data structure contains content data sufficient to enable automatic computation of the mathematical expression by the processor; the user interface enables the user to edit the mathematical expression; editing of the mathematical expression by the user via the user interface results in automatic modification of the single computer readable data structure; and the series of computer-executable instructions include a series of steps to identify the user inputs with at least some of the objects, and to display the mathematical expression defined by the single computer readable data structure via the display. | 1. An apparatus comprising: a processor; a computer readable memory; a user interface to receive user inputs and to display outputs to a user; and wherein: the computer readable memory contains a series of computer-executable instructions to be executed by the processor which enable the formulation of a mathematical expression by the user via the user interface, the mathematical expression comprising a selection of objects from a library of object types contained in the computer readable memory, the object types comprising primitive objects and non-primitive objects, wherein non-primitive objects have at least one field which in turn can host additional objects, and primitive objects have no fields, and wherein: the mathematical expression formulated by the user is defined by a single computer readable data structure which is generated automatically by the series of computer-executable instructions in response to the user inputs, and is stored in the computer readable memory; each object and each field is defined by a mathematical significance assigned thereto within the single computer readable data structure; the single computer readable data structure combines functions of a content tree data structure, and of a presentation tree data structure, for the mathematical expression; the single computer readable data structure contains presentation data sufficient to enable complete, automatic formatting of the mathematical expression for the display; the single computer readable data structure contains content data sufficient to enable automatic computation of the mathematical expression by the processor; the user interface enables the user to edit the mathematical expression; editing of the mathematical expression by the user via the user interface results in automatic modification of the single computer readable data structure; and the series of computer-executable instructions include a series of steps to identify the user inputs with at least some of the objects, and to display the mathematical expression defined by the single computer readable data structure via the display. 8. The apparatus of claim 1 and wherein the series of computer-executable instructions include a series of steps to calculate nesting counts which count numbers of types of nestings subsequent to a particular type of nesting. | 0.903351 |
9,274,646 | 1 | 9 | 1. An apparatus, comprising least one processor and at least one memory including computer program code, the memory and the computer program code configured to, working with the processor, cause the apparatus to perform at least the following: receive a multiple touch input comprising a first touch input having a first text position within a first word such that the first text position is a text position between a first character of the first word and a last letter of the first word, and a second touch input having a second text position such that the second text position is a text position between a first character of a second word and a last letter of the second word; determine a first text selection point positioned outside of the first word based at least in part on the first text position being within the first word, such that the first text selection point is at least one of a text position preceding a first character of the first word, or a text position following a last letter of the first word; determine a second text selection point positioned outside of the second word based at least in part on the second text position, such that the second text selection point is at least one of a text position preceding a first character of the second word, or a text position following a last letter of the second word; and select text information between the first text selection point and the second text selection point. | 1. An apparatus, comprising least one processor and at least one memory including computer program code, the memory and the computer program code configured to, working with the processor, cause the apparatus to perform at least the following: receive a multiple touch input comprising a first touch input having a first text position within a first word such that the first text position is a text position between a first character of the first word and a last letter of the first word, and a second touch input having a second text position such that the second text position is a text position between a first character of a second word and a last letter of the second word; determine a first text selection point positioned outside of the first word based at least in part on the first text position being within the first word, such that the first text selection point is at least one of a text position preceding a first character of the first word, or a text position following a last letter of the first word; determine a second text selection point positioned outside of the second word based at least in part on the second text position, such that the second text selection point is at least one of a text position preceding a first character of the second word, or a text position following a last letter of the second word; and select text information between the first text selection point and the second text selection point. 9. The apparatus of claim 1 , wherein the first text selection point is a text position associated with an end of a word preceding the first word. | 0.907595 |
8,037,108 | 4 | 5 | 4. The method of claim 3 , where the processing comprises traversing the schema metamodel graph for the relational database to preserve referential integrity rules with respect to the relational database, the traversing comprising: expanding table rows including expanding a given row into individual triples, each of the individual triples comprising a subject including primary-key information from the given row, a predicate including column name information from the given row, and an object including non-primary-key information from the given row; determining mapping structures for primary key to foreign key and alternate key to foreign key pairs in accordance with a canonical mapping template; normalizing keys to support collation and sorting; and creating intermediate associative map triple-entities to maintain source-destination mappings when one-to-many or many-to-many primary key to foreign key relationships are present. | 4. The method of claim 3 , where the processing comprises traversing the schema metamodel graph for the relational database to preserve referential integrity rules with respect to the relational database, the traversing comprising: expanding table rows including expanding a given row into individual triples, each of the individual triples comprising a subject including primary-key information from the given row, a predicate including column name information from the given row, and an object including non-primary-key information from the given row; determining mapping structures for primary key to foreign key and alternate key to foreign key pairs in accordance with a canonical mapping template; normalizing keys to support collation and sorting; and creating intermediate associative map triple-entities to maintain source-destination mappings when one-to-many or many-to-many primary key to foreign key relationships are present. 5. The method of claim 4 , where the generating comprises re-traversing the schema metamodel graph and, for each edge in the schema metamodel graph: creating RDF-triplestore link triples to represent each primary key to foreign key and alternate key to foreign key relationship; and storing each new RDF-triplestore link triple in the triplestore. | 0.5 |
9,031,918 | 2 | 3 | 2. The method of claim 1 , further including triggering at least one asynchronous update function upon receiving the request for metadata. | 2. The method of claim 1 , further including triggering at least one asynchronous update function upon receiving the request for metadata. 3. The method of claim 2 , wherein triggering at least one asynchronous update function includes triggering an on-demand update algorithm for determining operations to be executed upon receiving the request for metadata. | 0.5 |
9,501,563 | 2 | 5 | 2. The server according to claim 1 , wherein said computer program code further comprises facility storage code; wherein said at least one processor is further operable to execute the facility storage code to store facility information related to facilities in a facility storage, the facility information comprising a facility ID identifying a facility and information indicating a geographic range of the facility, and the predetermined geographic range corresponds to a geographic range indicated by one facility information, and the common identifier comprises a facility ID of the one facility information. | 2. The server according to claim 1 , wherein said computer program code further comprises facility storage code; wherein said at least one processor is further operable to execute the facility storage code to store facility information related to facilities in a facility storage, the facility information comprising a facility ID identifying a facility and information indicating a geographic range of the facility, and the predetermined geographic range corresponds to a geographic range indicated by one facility information, and the common identifier comprises a facility ID of the one facility information. 5. The server according to claim 2 , wherein said computer program code further comprises receiving code, search code, and transmitting code; said at least one processor is further operable to execute said: receiving code to receive a request signal containing a specified category name input by a user from a terminal of the user; search code to read facility information corresponding to the request signal received by according to the receiving code from the facility storage; and transmitting code to transmit the read facility information to the terminal, the word indicated by the input information comprises a category name given to a facility located in a specific position, and said at least one processor is further operable to execute the search code to read facility information including a facility ID associated with the specified category name from the facility storage by referring to the result storage and the facility storage. | 0.5 |
8,150,885 | 12 | 18 | 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. 18. The organization system as claimed in claim 12 wherein the searchable database is located in more than one physical location. | 0.853409 |
8,200,485 | 1 | 2 | 1. A method for improving voice recognition accuracy when a user submits a search query by voice to search a domain of items, the method comprising: prompting a user to submit a set of characters of a voice query for searching the domain of items, and receiving the set of characters from the user, wherein the voice query is an utterance by the user of a search query, and the set of characters defines a portion of the search query; in response to receiving the set of characters from the user, identifying a subset of items in the domain that correspond to the set of characters; generating a dynamic grammar based at least in part on the subset of items, said grammar specifying valid utterances for interpreting the voice query; prompting the user to submit the voice query, and receiving the voice query from the user; and interpreting the voice query using the dynamic grammar. | 1. A method for improving voice recognition accuracy when a user submits a search query by voice to search a domain of items, the method comprising: prompting a user to submit a set of characters of a voice query for searching the domain of items, and receiving the set of characters from the user, wherein the voice query is an utterance by the user of a search query, and the set of characters defines a portion of the search query; in response to receiving the set of characters from the user, identifying a subset of items in the domain that correspond to the set of characters; generating a dynamic grammar based at least in part on the subset of items, said grammar specifying valid utterances for interpreting the voice query; prompting the user to submit the voice query, and receiving the voice query from the user; and interpreting the voice query using the dynamic grammar. 2. The method as in claim 1 , wherein prompting a user to submit a set of characters comprises prompting the user to submit the first N characters of a query term, where N is greater than 1. | 0.814815 |
8,219,976 | 8 | 13 | 8. A non-transitory computer-readable storage medium encoded with a computer program comprising instructions that, when executed, operate to cause a computer to perform operations comprising: providing a plurality of items, each item of the plurality of items being uniquely identified by an identifier and comprising at least one core attribute, the at least one core attribute being of a variable data type; defining a first context that describes a first set of items from the plurality of items, and that can describe a first other context, the first context including at least one of a first default context attribute and a first overriding context attribute, the first other context comprising one or more items of the first set of items; defining a second context that describes a second set of items from the plurality of items, and that can describe a second other context, the second context including at least one of a second default context attribute and a second overriding context attribute, the second other context comprising one or more items of the second set of items; generating a description language based on the first and second contexts; evaluating the description language based on the first context; generating a first list as a sub-set of items of the plurality of items based on the first context, wherein the first default context attribute is assigned to at least one item of the first list if the at least one item does not include a corresponding attribute, and wherein the first overriding context attribute replaces a corresponding core attribute of at least one item of the first list if the corresponding core attribute conflicts with the first overriding core attribute, the first list being associated with a first version of a software product; and displaying the first list. | 8. A non-transitory computer-readable storage medium encoded with a computer program comprising instructions that, when executed, operate to cause a computer to perform operations comprising: providing a plurality of items, each item of the plurality of items being uniquely identified by an identifier and comprising at least one core attribute, the at least one core attribute being of a variable data type; defining a first context that describes a first set of items from the plurality of items, and that can describe a first other context, the first context including at least one of a first default context attribute and a first overriding context attribute, the first other context comprising one or more items of the first set of items; defining a second context that describes a second set of items from the plurality of items, and that can describe a second other context, the second context including at least one of a second default context attribute and a second overriding context attribute, the second other context comprising one or more items of the second set of items; generating a description language based on the first and second contexts; evaluating the description language based on the first context; generating a first list as a sub-set of items of the plurality of items based on the first context, wherein the first default context attribute is assigned to at least one item of the first list if the at least one item does not include a corresponding attribute, and wherein the first overriding context attribute replaces a corresponding core attribute of at least one item of the first list if the corresponding core attribute conflicts with the first overriding core attribute, the first list being associated with a first version of a software product; and displaying the first list. 13. The non-transitory computer-readable storage medium of claim 8 , wherein the operations further comprise: defining at least one of the first context and the second context based on a value of a core attribute of each of the items of the plurality of items. | 0.831606 |
9,355,376 | 6 | 7 | 6. The computer system of claim 5 , wherein the plurality of playbook elements comprises content of a playbook element as a kind of playbook element. | 6. The computer system of claim 5 , wherein the plurality of playbook elements comprises content of a playbook element as a kind of playbook element. 7. The computer system of claim 6 , wherein the plurality of playbook elements comprises a stage as a kind of playbook element, wherein a stage comprises a plurality of plays. | 0.5 |
8,285,755 | 6 | 9 | 6. A method for programmatically partially updating a row in a database, the method comprising: creating an instance of a prepared statement; binding a plurality of fields in a designated row in said prepared statement; setting values only for a subset of said fields in said prepared statement; and, executing said prepared statement. | 6. A method for programmatically partially updating a row in a database, the method comprising: creating an instance of a prepared statement; binding a plurality of fields in a designated row in said prepared statement; setting values only for a subset of said fields in said prepared statement; and, executing said prepared statement. 9. The method of claim 6 , wherein binding a plurality of fields in a designated row in said prepared statement further comprises comparing a version field for said designated row. | 0.5 |
9,992,219 | 1 | 9 | 1. A method, comprising: generating a supply chain graph, the supply chain graph comprising a directed graph representation of a supply chain, wherein the supply chain graph comprises nodes that represent physical or logical locations in the supply chain and edges that represent objects and/or information that are stored and/or transmitted between locations in the supply chain; generating a first attack graph for the supply chain graph, the first attack graph representative of a sequence of attacks potentially performed at nodes of the supply chain graph, the first attack graph comprising data indicative of a first node of the supply chain graph at which the sequence of attacks can be initiated, the first node representative of a first physical or logical location in the supply chain; assigning a difficulty-consequence pair to the first node of the supply chain graph based upon the first attack graph, a difficulty value in the difficulty-consequence pair being based upon a determination of a degree of difficulty to perform an attack at the first node, and a consequence value in the difficulty-consequence pair being based upon a determination of an outcome of the attack occurring at the first node; generating a mitigation to the attack; determining an ability of the mitigation to at least one of increase a level of difficulty for the attack to occur at the first node or reduce the consequence of the attack occurring at the first node; in the event of determining that the mitigation increases the level of difficulty or reduces the consequence of the attack, outputting an indication that the mitigation is applicable at the first node; responsive to determining the ability of the mitigation to at least one of increase a level of difficulty for the attack to occur or reduce the consequence of the attack occurring, updating the supply chain graph based on the mitigation; and generating a second attack graph for the updated supply chain graph, the second attack graph representative of a sequence of attacks potentially performed at nodes of the supply chain graph subsequent to the mitigation being applied to the supply chain. | 1. A method, comprising: generating a supply chain graph, the supply chain graph comprising a directed graph representation of a supply chain, wherein the supply chain graph comprises nodes that represent physical or logical locations in the supply chain and edges that represent objects and/or information that are stored and/or transmitted between locations in the supply chain; generating a first attack graph for the supply chain graph, the first attack graph representative of a sequence of attacks potentially performed at nodes of the supply chain graph, the first attack graph comprising data indicative of a first node of the supply chain graph at which the sequence of attacks can be initiated, the first node representative of a first physical or logical location in the supply chain; assigning a difficulty-consequence pair to the first node of the supply chain graph based upon the first attack graph, a difficulty value in the difficulty-consequence pair being based upon a determination of a degree of difficulty to perform an attack at the first node, and a consequence value in the difficulty-consequence pair being based upon a determination of an outcome of the attack occurring at the first node; generating a mitigation to the attack; determining an ability of the mitigation to at least one of increase a level of difficulty for the attack to occur at the first node or reduce the consequence of the attack occurring at the first node; in the event of determining that the mitigation increases the level of difficulty or reduces the consequence of the attack, outputting an indication that the mitigation is applicable at the first node; responsive to determining the ability of the mitigation to at least one of increase a level of difficulty for the attack to occur or reduce the consequence of the attack occurring, updating the supply chain graph based on the mitigation; and generating a second attack graph for the updated supply chain graph, the second attack graph representative of a sequence of attacks potentially performed at nodes of the supply chain graph subsequent to the mitigation being applied to the supply chain. 9. The method of claim 1 , further comprising: determining a first risk at the first location represented by the first node, wherein the first risk identifies a susceptibility of the first location to attack; determining a second risk at a second location represented by a second node, wherein the second risk identifies a susceptibility of the second location to attack; comparing a value of the first risk with a value of the second risk; and based upon the comparison, ranking the first node relative to the second node. | 0.5 |
9,111,003 | 7 | 8 | 7. The method of claim 6 , further comprising constructing, by the virtual browser, a dynamic subtree representing non-matching dynamic content and associating the dynamic subtree with the unique token identifier. | 7. The method of claim 6 , further comprising constructing, by the virtual browser, a dynamic subtree representing non-matching dynamic content and associating the dynamic subtree with the unique token identifier. 8. The method of claim 7 , further comprising maintaining, by the virtual browser, the association between the dynamic subtree with the unique token identifier until termination of the connection between one of the plurality of servers and the virtual browser. | 0.5 |
9,215,194 | 5 | 13 | 5. The method of claim 3 , in which wherein the predefined action comprises sending the incoming Instant Message to an Instant Message mailbox when the at least one keyword is not found in the instant message content. | 5. The method of claim 3 , in which wherein the predefined action comprises sending the incoming Instant Message to an Instant Message mailbox when the at least one keyword is not found in the instant message content. 13. The method of claim 5 , further comprising: receiving a search query indicating one or more keywords; and accessing Instant Messages in the Instant Message mailbox based on the search query, the Instant Messages including the one or more keywords. | 0.5 |
10,083,263 | 10 | 12 | 10. A system comprising at least one data processor, and memory storing instructions which, when executed by the at least one data processor, causes the at least one data processor to perform operations comprising: accessing, from at least one database, data from a plurality of disparate data sources; automatically building, using the data obtained from the accessed data sources, a first test model and a second test model, the first test model and the second test model having predetermined predictive variables and the first test model and the second test model built from one or more of the plurality of disparate data sources; determining a set of predictive variables from the predetermined predictive variables in the first test model and the second test model by comparing a predictive power of the predictive variables of the first test model and the second test model, the set of predictive variables being a subset of the predetermined predictive variables; generating a dataset comprising data selected from the disparate data sources and corresponding to the determined set of predictive variables; and building, from the dataset, a model that combines the set of predictive variables, the model characterizing a quantitative estimate of a probability that an entity will display a defined behavior. | 10. A system comprising at least one data processor, and memory storing instructions which, when executed by the at least one data processor, causes the at least one data processor to perform operations comprising: accessing, from at least one database, data from a plurality of disparate data sources; automatically building, using the data obtained from the accessed data sources, a first test model and a second test model, the first test model and the second test model having predetermined predictive variables and the first test model and the second test model built from one or more of the plurality of disparate data sources; determining a set of predictive variables from the predetermined predictive variables in the first test model and the second test model by comparing a predictive power of the predictive variables of the first test model and the second test model, the set of predictive variables being a subset of the predetermined predictive variables; generating a dataset comprising data selected from the disparate data sources and corresponding to the determined set of predictive variables; and building, from the dataset, a model that combines the set of predictive variables, the model characterizing a quantitative estimate of a probability that an entity will display a defined behavior. 12. The system of claim 10 , the operations further comprising: breaking at least one of the disparate data sources into multiple child datasets so each child dataset contains only a subset of the predictive variables and the child datasets share the same performance variable, sampling scheme, and segmentation scheme; and building test models for each child dataset. | 0.5 |
8,375,072 | 1 | 3 | 1. A system for managing electronic files comprising: a processor and a memory; a first module deployed in the memory and executed by the processor to receive data descriptive of a loss event, the loss event being associated with an insurance claim; a second module deployed in the memory and executed by the processor to identify a hierarchy of a plurality of components for the loss event and to correlate the data descriptive of the loss event to the plurality of components of the loss event to construct a hierarchical data structure in response to the receiving of the data descriptive of the loss event and identifying the hierarchy, wherein the hierarchical data structure includes substructures that are created based on the received data descriptive of a loss event; a third module deployed in the memory and executed by the processor to automatically create an electronic file folder hierarchy that corresponds to the hierarchical data structure, wherein the electronic file folder hierarchy includes electronic file folders each including a one-to-one correspondence with a node of a navigation bar; and a user interface configured to display the navigation bar corresponding to at least a portion of the hierarchical data structure and including a plurality of elements, wherein the user interface is further configured to: scan a paper document to an electronic document to be filed as an electronic file; create a scan information sheet having a bar code thereon, the bar code containing data pertaining to: the paper document; and text data included on the scan information sheet; detect a selection of a plurality of nodes of the navigation bar; and associate the electronic file, using the bar code of the scan information sheet, with a plurality of electronic file folders corresponding to the selected plurality of nodes of the navigation bar, wherein the association includes a hyperlink to display the electronic file. | 1. A system for managing electronic files comprising: a processor and a memory; a first module deployed in the memory and executed by the processor to receive data descriptive of a loss event, the loss event being associated with an insurance claim; a second module deployed in the memory and executed by the processor to identify a hierarchy of a plurality of components for the loss event and to correlate the data descriptive of the loss event to the plurality of components of the loss event to construct a hierarchical data structure in response to the receiving of the data descriptive of the loss event and identifying the hierarchy, wherein the hierarchical data structure includes substructures that are created based on the received data descriptive of a loss event; a third module deployed in the memory and executed by the processor to automatically create an electronic file folder hierarchy that corresponds to the hierarchical data structure, wherein the electronic file folder hierarchy includes electronic file folders each including a one-to-one correspondence with a node of a navigation bar; and a user interface configured to display the navigation bar corresponding to at least a portion of the hierarchical data structure and including a plurality of elements, wherein the user interface is further configured to: scan a paper document to an electronic document to be filed as an electronic file; create a scan information sheet having a bar code thereon, the bar code containing data pertaining to: the paper document; and text data included on the scan information sheet; detect a selection of a plurality of nodes of the navigation bar; and associate the electronic file, using the bar code of the scan information sheet, with a plurality of electronic file folders corresponding to the selected plurality of nodes of the navigation bar, wherein the association includes a hyperlink to display the electronic file. 3. The system as recited in claim 1 , wherein the hierarchical data structure comprises a plurality of predefined substructures, a particular predefined substructure of the plurality of predefined substructures corresponding to a categorization of a particular component of the plurality of components of the loss event. | 0.5 |
9,055,074 | 11 | 13 | 11. A system for aggregating social media content items from a plurality of social media providers, the system comprising: one or more processors programmed with computer program instructions to: obtain at least a first parameter that specifies one or more geographically definable locations; generate a first request that specifies the one or more geographically definable locations in a first format used by a first social media content provider; generate a second request that specifies the one or more geographically definable locations in a second format used by a second social media content provider; communicate the first request to the first social media content provider; communicate the second request to the second social media content provider; receive a first set of social media content items from the first social media content provider, wherein the first set of social media content items includes at least a first social media content item associated with information that indicates that the first social media item is relevant to one or more geographically definable locations; receive a second set of social media content items from the second social media content provider, wherein the second set of social media content items includes at least a second social media item associated with information that indicates that the second social media content item is relevant to the one or more geographically definable locations; and communicate the at least a portion of the first set of social media content items and at least a portion of the second set of social media content items. | 11. A system for aggregating social media content items from a plurality of social media providers, the system comprising: one or more processors programmed with computer program instructions to: obtain at least a first parameter that specifies one or more geographically definable locations; generate a first request that specifies the one or more geographically definable locations in a first format used by a first social media content provider; generate a second request that specifies the one or more geographically definable locations in a second format used by a second social media content provider; communicate the first request to the first social media content provider; communicate the second request to the second social media content provider; receive a first set of social media content items from the first social media content provider, wherein the first set of social media content items includes at least a first social media content item associated with information that indicates that the first social media item is relevant to one or more geographically definable locations; receive a second set of social media content items from the second social media content provider, wherein the second set of social media content items includes at least a second social media item associated with information that indicates that the second social media content item is relevant to the one or more geographically definable locations; and communicate the at least a portion of the first set of social media content items and at least a portion of the second set of social media content items. 13. The system of claim 11 , wherein the one or more processors are further programmed to: normalize at least one of: the first set of social media content items or the second set of social media content items. | 0.762443 |
8,359,323 | 13 | 15 | 13. A bridge component comprising: a hardware processor; a database driver that is compatible with a software application, the database driver receiving a database language request from the software application intended for a system, wherein the database language request is in a database language format, and wherein the database driver processes standard database calls; a database language mapper that receives the database language request from the database driver, parses the database language request, and converts the database language request into an intermediary data format, wherein the intermediary data format comprises a data object identifying an operation and data, wherein the data includes at least one field with an associated value; and a common client interface builder that receives the database language request in the intermediary data format from the database language mapper, reformats the database language request into a format that is compatible with a system resource adapter, invokes the system resource adapter, by utilizing the hardware processor, with the reformatted request, receives the data object that has been modified from the system resource adapter, and maps the received data object to a result set. | 13. A bridge component comprising: a hardware processor; a database driver that is compatible with a software application, the database driver receiving a database language request from the software application intended for a system, wherein the database language request is in a database language format, and wherein the database driver processes standard database calls; a database language mapper that receives the database language request from the database driver, parses the database language request, and converts the database language request into an intermediary data format, wherein the intermediary data format comprises a data object identifying an operation and data, wherein the data includes at least one field with an associated value; and a common client interface builder that receives the database language request in the intermediary data format from the database language mapper, reformats the database language request into a format that is compatible with a system resource adapter, invokes the system resource adapter, by utilizing the hardware processor, with the reformatted request, receives the data object that has been modified from the system resource adapter, and maps the received data object to a result set. 15. The bridge component of claim 13 , wherein the database language format is Standard Query Language. | 0.687879 |
8,285,830 | 6 | 7 | 6. The method of claim 1 , wherein preparing the document comprises preparing the document for submission to an administrative agency. | 6. The method of claim 1 , wherein preparing the document comprises preparing the document for submission to an administrative agency. 7. The method of claim 6 , further comprising receiving a notification from the administrative agency that one or more of the domains included in the document has been recovered. | 0.5 |
9,292,608 | 14 | 17 | 14. A computer program product including a non-transitory computer storage medium having instructions embodied thereon, which when executed by a computer cause the computer to implement a method, the method comprising: generating an ontological domain for an individual based upon information elements, the information elements representing aspects of detectable behaviors of the individual over time, at least a portion of the detectable behaviors being captured via user-generated input of the individual monitored by the computer, and at least another portion of the detectable behaviors being received from a source that is independent of the computer and absent any user-generated input of the individual, the generating the ontological domain comprising creating subdomains of contextually organized collections of the information elements and information elements by topic; comparing the information elements across the subdomains; determining orthogonal relationships of the information elements across topics indicated by the subdomains based on common features associated with the information elements; determining a relevance of orthogonal relationships among the information elements across the subdomains based on measurable aspects of the information elements with respect to frequency of occurrence, geolocation, time, or a combination thereof, wherein the orthogonal relationships determined to be relevant are identified as an interest of the individual; searching sources of information using the information elements having the orthogonal relationships determined to be relevant; and identifying a solution for satisfying the interest responsive to the searching. | 14. A computer program product including a non-transitory computer storage medium having instructions embodied thereon, which when executed by a computer cause the computer to implement a method, the method comprising: generating an ontological domain for an individual based upon information elements, the information elements representing aspects of detectable behaviors of the individual over time, at least a portion of the detectable behaviors being captured via user-generated input of the individual monitored by the computer, and at least another portion of the detectable behaviors being received from a source that is independent of the computer and absent any user-generated input of the individual, the generating the ontological domain comprising creating subdomains of contextually organized collections of the information elements and information elements by topic; comparing the information elements across the subdomains; determining orthogonal relationships of the information elements across topics indicated by the subdomains based on common features associated with the information elements; determining a relevance of orthogonal relationships among the information elements across the subdomains based on measurable aspects of the information elements with respect to frequency of occurrence, geolocation, time, or a combination thereof, wherein the orthogonal relationships determined to be relevant are identified as an interest of the individual; searching sources of information using the information elements having the orthogonal relationships determined to be relevant; and identifying a solution for satisfying the interest responsive to the searching. 17. The computer program product of claim 14 , wherein the method further comprises: dynamically updating the ontological domain over time by iteratively detecting behaviors of the individual and gathering the information elements in response to the detecting; updating the subdomains with the information elements resulting from the gathering; and updating the interest based upon updates made to the subdomains. | 0.668006 |
9,805,101 | 2 | 3 | 2. The system of claim 1 wherein the nested data structure comprises an atom, a tuple, a map, and a bag, wherein the atom includes a single value, wherein the tuple includes a sequence of atoms, wherein the map includes a collection of key and value pairs, wherein the bag includes the collection of tuples. | 2. The system of claim 1 wherein the nested data structure comprises an atom, a tuple, a map, and a bag, wherein the atom includes a single value, wherein the tuple includes a sequence of atoms, wherein the map includes a collection of key and value pairs, wherein the bag includes the collection of tuples. 3. The system of claim 2 wherein the sequential data structure comprises an ordered plurality of tuples. | 0.818182 |
4,320,451 | 30 | 31 | 30. A trap semaphore as recited in claim 29 including sixth means for queueing said trap-event occurrence on said second means and forming a queue thereon, if said second process is in preferential mode upon notification of said second means of said trap event occurrence. | 30. A trap semaphore as recited in claim 29 including sixth means for queueing said trap-event occurrence on said second means and forming a queue thereon, if said second process is in preferential mode upon notification of said second means of said trap event occurrence. 31. A trap semaphore as recited in claim 30 including seventh means responsive to said second process for requesting on behalf of said second process one of said queued message notifications of said trap event occurrence. | 0.5 |
9,449,081 | 1 | 4 | 1. A computer-implemented method for, in response to receiving a query, creating associations between various terms distilled from the query to generate a proposition, the proposition being used to interrogate semantic representations of content from documents stored in a semantic index to provide relevant search results, the method comprising: determining semantic information for a plurality of identified elements in one or more search terms, the semantic information including one or more of meanings of the identified elements or grammatical functions of the identified elements; determining a plurality of levels of association within the query; identifying a first reporting act from the plurality of identified elements, the first reporting act corresponding to an attitude report wherein the attitude report describes an attitude toward a particular topic of the query; associating the first reporting act with a first level of association of the plurality of levels of association; based on the determined semantic information for the one or more search terms, determining a semantic relationship between the first reporting act and at least one of the one or more search terms, thereby creating an association by way of a relational element that describes the semantic relationship; generating the proposition that is a logical representation of a meaning of the query that is used to interrogate semantic relationships contained within semantic representations of content from the documents, the proposition including the association between the first reporting act and the at least one of the one or more search terms; and providing relevant search results by comparing or matching the proposition against the semantic representations of content stored in the semantic index. | 1. A computer-implemented method for, in response to receiving a query, creating associations between various terms distilled from the query to generate a proposition, the proposition being used to interrogate semantic representations of content from documents stored in a semantic index to provide relevant search results, the method comprising: determining semantic information for a plurality of identified elements in one or more search terms, the semantic information including one or more of meanings of the identified elements or grammatical functions of the identified elements; determining a plurality of levels of association within the query; identifying a first reporting act from the plurality of identified elements, the first reporting act corresponding to an attitude report wherein the attitude report describes an attitude toward a particular topic of the query; associating the first reporting act with a first level of association of the plurality of levels of association; based on the determined semantic information for the one or more search terms, determining a semantic relationship between the first reporting act and at least one of the one or more search terms, thereby creating an association by way of a relational element that describes the semantic relationship; generating the proposition that is a logical representation of a meaning of the query that is used to interrogate semantic relationships contained within semantic representations of content from the documents, the proposition including the association between the first reporting act and the at least one of the one or more search terms; and providing relevant search results by comparing or matching the proposition against the semantic representations of content stored in the semantic index. 4. The method of claim 1 , further comprising: identifying a second reporting act within the query; and based on the determined semantic information for the one or more search terms, determining a semantic relationship between the second reporting act and the at least one of the one or more search terms, thereby creating an association by way of a relational element that describes the semantic relationship. | 0.5 |
8,615,452 | 1 | 21 | 1. A method of making a data representation of transaction-tax-related information of a transaction, the transaction being represented by a transaction document having transaction-document lines, the transaction-tax-related information having one or more taxation levels, the method comprising: arranging, by a computer, data items representing the transaction-tax-related information according to a data schema for representing transaction-tax related information for different jurisdictions, including jurisdictions with different kinds and numbers of taxation levels; wherein the data schema provides a taxation-line entity for each of the transaction-document lines of the transaction document, wherein the transaction-document lines correspond to respective sub-transactions of the transaction; the data schema provides a taxation-line-item entity, related to the taxation-line entity, for each taxation level of a corresponding transaction-document line, wherein plural taxation-line-item entities are provided for the corresponding transaction-document line associated with plural taxation levels; and wherein an attribute of each taxation-line-item entity is used to indicate the taxation level represented by the taxation-line-item entity. | 1. A method of making a data representation of transaction-tax-related information of a transaction, the transaction being represented by a transaction document having transaction-document lines, the transaction-tax-related information having one or more taxation levels, the method comprising: arranging, by a computer, data items representing the transaction-tax-related information according to a data schema for representing transaction-tax related information for different jurisdictions, including jurisdictions with different kinds and numbers of taxation levels; wherein the data schema provides a taxation-line entity for each of the transaction-document lines of the transaction document, wherein the transaction-document lines correspond to respective sub-transactions of the transaction; the data schema provides a taxation-line-item entity, related to the taxation-line entity, for each taxation level of a corresponding transaction-document line, wherein plural taxation-line-item entities are provided for the corresponding transaction-document line associated with plural taxation levels; and wherein an attribute of each taxation-line-item entity is used to indicate the taxation level represented by the taxation-line-item entity. 21. The method of claim 1 , wherein the data schema is a hierarchical data schema having plural levels including a taxation-line level that provides the taxation-line entity, and a taxation-line-item level, below the taxation-line level, that provides the taxation-line-item entities. | 0.719368 |
7,792,575 | 1 | 6 | 1. In a language processing function measuring device, which is equipped with a word presenting unit to present words to a subject, a biological activity measuring unit to measure a biological activity of the subject and a calculation unit to calculate information measured by the biological activity measuring unit, the improvement comprising: the calculation unit includes a word database where word data indicating words are presented to the subject, a category data of the words, and attribute data of the words are related and then stored, respectively, and, a word extractor to search the word database and to extract words belonging to or relating to a predetermined category, and satisfying a predetermined attribute, based upon predetermined search conditions that are entered by a user, and the word presenting unit presents a portion of or entire words indicated by the word data indicating words extracted by the word extractor. | 1. In a language processing function measuring device, which is equipped with a word presenting unit to present words to a subject, a biological activity measuring unit to measure a biological activity of the subject and a calculation unit to calculate information measured by the biological activity measuring unit, the improvement comprising: the calculation unit includes a word database where word data indicating words are presented to the subject, a category data of the words, and attribute data of the words are related and then stored, respectively, and, a word extractor to search the word database and to extract words belonging to or relating to a predetermined category, and satisfying a predetermined attribute, based upon predetermined search conditions that are entered by a user, and the word presenting unit presents a portion of or entire words indicated by the word data indicating words extracted by the word extractor. 6. The language processing function measuring device according to claim 1 wherein the word presenting unit presents at least a first word and a second word, which are established from word data extracted by the word extractor, at a predetermined time interval. | 0.757914 |
9,247,100 | 1 | 5 | 1. A method for routing confirmation of receipt and/or delivery of a facsimile, the method comprising: generating text of a facsimile in a computer readable format; ascertaining one or more of a significance and a relevance of at least a portion of the text by locating one or more keywords in the text, wherein at least two of the keywords are not adjacent in the text; analyzing the text for at least one of a meaning and a context of the text; initiating a business process; generating a notification of a problem with the initiated business process in response to determining the problem exists; notifying one or more entities of the problem; and routing at least one confirmation of receipt and/or delivery of the facsimile to one or more confirmation destinations based on the analysis, wherein the routing utilizes an outgoing communication device, and wherein the business process is initiated based at least in part on the analysis. | 1. A method for routing confirmation of receipt and/or delivery of a facsimile, the method comprising: generating text of a facsimile in a computer readable format; ascertaining one or more of a significance and a relevance of at least a portion of the text by locating one or more keywords in the text, wherein at least two of the keywords are not adjacent in the text; analyzing the text for at least one of a meaning and a context of the text; initiating a business process; generating a notification of a problem with the initiated business process in response to determining the problem exists; notifying one or more entities of the problem; and routing at least one confirmation of receipt and/or delivery of the facsimile to one or more confirmation destinations based on the analysis, wherein the routing utilizes an outgoing communication device, and wherein the business process is initiated based at least in part on the analysis. 5. The method as recited in claim 1 , further comprising storing at least some of the text in a memory. | 0.733161 |
8,347,381 | 6 | 9 | 6. A computer program product having a non-transitory computer-readable storage medium having computer-executable code for detecting a malicious social networking profile, the computer-executable code comprising: a monitoring module configured to detect access of a social networking profile on a social networking website; a suspicion module configured to: select, based on a type of the social networking profile, at least one fingerprint from a plurality of fingerprints, each of the plurality of fingerprints specifying characteristics for evaluating one or more types of social networking profiles, the selected fingerprint comprising a legitimate fingerprint that specifies characteristics of legitimate social networking profiles of the type; evaluate whether the social networking profile includes characteristics specified by the selected fingerprint; and determine whether the social networking profile is suspicious based on the evaluation; a validation module configured to: responsive to a determination that the social networking profile is suspicious, identify a malicious fingerprint, the malicious fingerprint specifying characteristics of malicious social networking profiles; evaluate whether the social networking profile includes the characteristics specified by the malicious fingerprint; and determine whether the social networking profile is malicious based on the evaluation of whether the social networking profile includes the characteristics specified by the malicious fingerprint; and a reporting module configured to report the social networking profile as being malicious, responsive to determining that the social networking profile is malicious. | 6. A computer program product having a non-transitory computer-readable storage medium having computer-executable code for detecting a malicious social networking profile, the computer-executable code comprising: a monitoring module configured to detect access of a social networking profile on a social networking website; a suspicion module configured to: select, based on a type of the social networking profile, at least one fingerprint from a plurality of fingerprints, each of the plurality of fingerprints specifying characteristics for evaluating one or more types of social networking profiles, the selected fingerprint comprising a legitimate fingerprint that specifies characteristics of legitimate social networking profiles of the type; evaluate whether the social networking profile includes characteristics specified by the selected fingerprint; and determine whether the social networking profile is suspicious based on the evaluation; a validation module configured to: responsive to a determination that the social networking profile is suspicious, identify a malicious fingerprint, the malicious fingerprint specifying characteristics of malicious social networking profiles; evaluate whether the social networking profile includes the characteristics specified by the malicious fingerprint; and determine whether the social networking profile is malicious based on the evaluation of whether the social networking profile includes the characteristics specified by the malicious fingerprint; and a reporting module configured to report the social networking profile as being malicious, responsive to determining that the social networking profile is malicious. 9. The computer program product of claim 6 , wherein the validation module is further configured to: calculate a validation score, each of the characteristics specified by the malicious fingerprint contributing points to the validation score based on whether the characteristic is included in the social networking profile; and determine whether the social networking profile is malicious responsive to the validation score. | 0.514874 |
9,619,515 | 1 | 7 | 1. A system for expanding a search, the system comprising: a processor and executable instructions accessible on a computer-readable medium that, when executed, cause the processor to perform operations comprising: calculate a diversity index for a plurality of query terms included in a plurality of other queries associated with a query, the diversity index being a measure of diversity among the plurality of query terms, the diversity index relating to differences among the plurality of query terms; compare the diversity index to a threshold value; and expand the query with one or more of the plurality of query terms based on the comparison. | 1. A system for expanding a search, the system comprising: a processor and executable instructions accessible on a computer-readable medium that, when executed, cause the processor to perform operations comprising: calculate a diversity index for a plurality of query terms included in a plurality of other queries associated with a query, the diversity index being a measure of diversity among the plurality of query terms, the diversity index relating to differences among the plurality of query terms; compare the diversity index to a threshold value; and expand the query with one or more of the plurality of query terms based on the comparison. 7. The system of claim 1 , further comprising identifying the plurality of queries as submitted within a predetermined period of time. | 0.5 |
8,626,761 | 9 | 14 | 9. A method for scoring concepts in a document set, comprising: maintaining a set of documents; identifying concepts comprising two or more terms extracted from the document set and designating each document having one or more of the concepts as a candidate seed document; determining for each of the concepts identified within each candidate seed document, values for a frequency of occurrence of that concept within that candidate seed document, a concept weight reflecting a specificity of meaning for that concept within that candidate seed document, a structural weight reflecting a degree of significance based on a location of that concept within that candidate seed document, and a corpus weight inversely weighing a reference count of the occurrence for that concept within the document set according to the equation: r w ij = { ( T - r ij T ) 2 , r ij > M 1.0 , r ij ≤ M where rw ij comprises the corpus weight, r ij comprises the reference count for the occurrence j for that concept i, T comprises a total number of reference counts of the documents in the document set, and M comprises a maximum reference count of the documents in the document set; calculating a score for each concept as a function of summation of the values for each of the frequency of occurrence, concept weight, structural weight, and corpus weight; forming a vector for each candidate seed document comprising the concepts located in that candidate seed document and the associated concept scores based on the frequency of occurrence, concept weight, structural weight, and corpus weight; comparing the vector for each candidate seed document with a center of one or more clusters each comprising thematically-related documents and selecting at least one of the candidate seed documents that is sufficiently distinct from the other candidate seed documents as a seed document for a new cluster; and placing each of the unselected candidate seed documents into one of the clusters having a most similar cluster center. | 9. A method for scoring concepts in a document set, comprising: maintaining a set of documents; identifying concepts comprising two or more terms extracted from the document set and designating each document having one or more of the concepts as a candidate seed document; determining for each of the concepts identified within each candidate seed document, values for a frequency of occurrence of that concept within that candidate seed document, a concept weight reflecting a specificity of meaning for that concept within that candidate seed document, a structural weight reflecting a degree of significance based on a location of that concept within that candidate seed document, and a corpus weight inversely weighing a reference count of the occurrence for that concept within the document set according to the equation: r w ij = { ( T - r ij T ) 2 , r ij > M 1.0 , r ij ≤ M where rw ij comprises the corpus weight, r ij comprises the reference count for the occurrence j for that concept i, T comprises a total number of reference counts of the documents in the document set, and M comprises a maximum reference count of the documents in the document set; calculating a score for each concept as a function of summation of the values for each of the frequency of occurrence, concept weight, structural weight, and corpus weight; forming a vector for each candidate seed document comprising the concepts located in that candidate seed document and the associated concept scores based on the frequency of occurrence, concept weight, structural weight, and corpus weight; comparing the vector for each candidate seed document with a center of one or more clusters each comprising thematically-related documents and selecting at least one of the candidate seed documents that is sufficiently distinct from the other candidate seed documents as a seed document for a new cluster; and placing each of the unselected candidate seed documents into one of the clusters having a most similar cluster center. 14. A method according to claim 9 , further comprising: applying a threshold to each of the clusters and selecting those documents within at least one of the clusters that falls outside of the threshold as outlier documents; and relocating the outlier documents. | 0.5 |
6,038,668 | 45 | 46 | 45. The method according to claim 44, further comprising the step of: storing the categorized data in a storage device. | 45. The method according to claim 44, further comprising the step of: storing the categorized data in a storage device. 46. The method according to claim 45, further comprising the step of: extracting the categorized data from said storage device. | 0.615152 |
10,134,386 | 10 | 17 | 10. A system for identifying content corresponding to a language, the system comprising: storage circuitry configured to store a first association between a first phoneme sequence and a first language and a second association between a second phoneme sequence and a second language; control circuitry configured to: generate a phoneme sequence based on verbal input received from a first user; determine which one of the first and second phoneme sequences, associated respectively with the first and second languages, corresponds to the generated phoneme sequence; automatically determine, with voice recognition circuitry, that a language spoken by the first user corresponds to the first language based on determining that the first phoneme sequence corresponds to the generated phoneme sequence; measure a first duration of the received first verbal input representing how often the first language is spoken in the household; store the first duration in a database that associates the first duration with the first language; measure a second duration of second verbal input received subsequent to the first verbal input representing how often the second language is spoken in the household, wherein the second verbal input corresponds to the second language; store a second duration in the database that associates the second duration with the second language; compare the first duration to the second duration; in response to determining that the first duration is greater than the second duration, determining that the first language is spoken more often than the second language in the household; search a database of content sources to identify a content source associated with a language field value that corresponds to the first language based on determining that the first language is spoken more often than the second language in the household, wherein the language field in the database identifies the language that the associated content source transmits content to a plurality of users; and generate for display a representation of the identified content source to the first user. | 10. A system for identifying content corresponding to a language, the system comprising: storage circuitry configured to store a first association between a first phoneme sequence and a first language and a second association between a second phoneme sequence and a second language; control circuitry configured to: generate a phoneme sequence based on verbal input received from a first user; determine which one of the first and second phoneme sequences, associated respectively with the first and second languages, corresponds to the generated phoneme sequence; automatically determine, with voice recognition circuitry, that a language spoken by the first user corresponds to the first language based on determining that the first phoneme sequence corresponds to the generated phoneme sequence; measure a first duration of the received first verbal input representing how often the first language is spoken in the household; store the first duration in a database that associates the first duration with the first language; measure a second duration of second verbal input received subsequent to the first verbal input representing how often the second language is spoken in the household, wherein the second verbal input corresponds to the second language; store a second duration in the database that associates the second duration with the second language; compare the first duration to the second duration; in response to determining that the first duration is greater than the second duration, determining that the first language is spoken more often than the second language in the household; search a database of content sources to identify a content source associated with a language field value that corresponds to the first language based on determining that the first language is spoken more often than the second language in the household, wherein the language field in the database identifies the language that the associated content source transmits content to a plurality of users; and generate for display a representation of the identified content source to the first user. 17. The system of claim 10 wherein the control circuitry is further configured to: retrieve a subscription plan associated with the first user from a storage device; determine whether the identified content source is included in the retrieved subscription plan prior to generating for display the representation; if the identified content source is not included in the subscription plan, cross-reference the database of content sources to identify a second content source associated with a language field value that corresponds to the determined language spoken by the first user; and generate for display a representation of the identified second content source. | 0.53178 |
4,817,155 | 18 | 20 | 18. The apparatus of claim 15, comprising separate correlation detectors with separate outputs for the low-frequency portion of said speech signal and for the high-frequency portion of said speech signal, said transmission means being arranged to transmit both of said outputs. | 18. The apparatus of claim 15, comprising separate correlation detectors with separate outputs for the low-frequency portion of said speech signal and for the high-frequency portion of said speech signal, said transmission means being arranged to transmit both of said outputs. 20. The apparatus of claim 18, in which the boundary between said low frequency portion and said high-frequency portion is substantially 1 kHz. | 0.627604 |
8,352,405 | 16 | 17 | 16. The method of claim 12 wherein the content is text configured in the form of sentences having words and phrases. | 16. The method of claim 12 wherein the content is text configured in the form of sentences having words and phrases. 17. The method of claim 16 further including classifying the content at the sentence level as being positive, negative or having no sentiment of the particular aspect of information. | 0.5 |
9,798,718 | 15 | 20 | 15. A non-transitory computer-readable storage medium comprising instructions that, when executed, cause at least one processor of a computing device to: output, for display at a presence-sensitive display of the computing device, a graphical user interface including a committed-text region, a text-suggestion region, and a graphical keyboard comprising a plurality of keys; determine a first single-touch gesture detected at a first region of the presence-sensitive display at which a first key of the plurality of keys is displayed and a second single-touch gesture detected at a second region of the presence-sensitive display at which a second key of the plurality of keys is displayed, wherein a first character is associated with the first key and a second character is associated with the second key; determine, based on the first single-touch gesture and the second single-touch gesture, a first candidate word of a candidate phrase and a second candidate word of the candidate phrase, wherein the first candidate word comprises the first character and the second candidate word comprises the second character; output, for display in the committed-text region of the graphical user interface, the first candidate word and the second candidate word; and output, for display in the text-suggestion region of the graphical user interface, at least one next word that is subsequent to the first candidate word and the second candidate word in the candidate phrase. | 15. A non-transitory computer-readable storage medium comprising instructions that, when executed, cause at least one processor of a computing device to: output, for display at a presence-sensitive display of the computing device, a graphical user interface including a committed-text region, a text-suggestion region, and a graphical keyboard comprising a plurality of keys; determine a first single-touch gesture detected at a first region of the presence-sensitive display at which a first key of the plurality of keys is displayed and a second single-touch gesture detected at a second region of the presence-sensitive display at which a second key of the plurality of keys is displayed, wherein a first character is associated with the first key and a second character is associated with the second key; determine, based on the first single-touch gesture and the second single-touch gesture, a first candidate word of a candidate phrase and a second candidate word of the candidate phrase, wherein the first candidate word comprises the first character and the second candidate word comprises the second character; output, for display in the committed-text region of the graphical user interface, the first candidate word and the second candidate word; and output, for display in the text-suggestion region of the graphical user interface, at least one next word that is subsequent to the first candidate word and the second candidate word in the candidate phrase. 20. The non-transitory computer-readable storage medium of claim 15 , wherein at least one of: the committed-text region is positioned, within the graphical user interface, above the graphical keyboard; the suggested-text region is positioned, within the graphical user interface, above the graphical keyboard; or the suggested-text region is positioned, within the graphical user interface, between the committed-text region and the graphical keyboard. | 0.744932 |
10,137,902 | 1 | 6 | 1. An apparatus for adaptively interacting with a driver via voice interaction, the apparatus comprising: a computational models block configured to: receive driver related parameters, vehicle related parameters, and vehicle environment parameters from a plurality of sensors and employ modeling software with instructions that are executed on one or more devices to: generate a driver state model based on the driver related parameters, generate a vehicle state model based on the vehicle related parameter, and generate a vehicle environment state model based on the vehicle environment parameters; and an adaptive interactive voice system configured to: generate a voice output based on a driver's situation and context as indicated on information included within at least one of the driver state model, the vehicle state model, and the vehicle environment state model; determine, based on the information included within the at least one of the driver state model, the vehicle state model, and the vehicle environment state model, that the driver is engaged in a conversation with a person; and refrain from outputting the voice output while the driver is engaged in the conversation with the person to avoid interrupting the conversation. | 1. An apparatus for adaptively interacting with a driver via voice interaction, the apparatus comprising: a computational models block configured to: receive driver related parameters, vehicle related parameters, and vehicle environment parameters from a plurality of sensors and employ modeling software with instructions that are executed on one or more devices to: generate a driver state model based on the driver related parameters, generate a vehicle state model based on the vehicle related parameter, and generate a vehicle environment state model based on the vehicle environment parameters; and an adaptive interactive voice system configured to: generate a voice output based on a driver's situation and context as indicated on information included within at least one of the driver state model, the vehicle state model, and the vehicle environment state model; determine, based on the information included within the at least one of the driver state model, the vehicle state model, and the vehicle environment state model, that the driver is engaged in a conversation with a person; and refrain from outputting the voice output while the driver is engaged in the conversation with the person to avoid interrupting the conversation. 6. The apparatus of claim 1 wherein the vehicle environment state model comprises at least one of weather and objects positioned exterior to the vehicle. | 0.796543 |
8,738,561 | 11 | 15 | 11. A non-transitory, computer-readable medium encoded with computer-executable instructions for a processor to implement an inconsistent reasoner that responds to a Boolean query using an inconsistent knowledge base, the instructions comprising: receiving the Boolean query including an original formula; determining if the inconsistent knowledge base non-standardly entails the original formula; when the inconsistent knowledge base non-standardly entails the original formula, selecting a bridge formula that is non-standardly entailed by the inconsistent knowledge base, can be resolved with the original formula, and does not contradict the original formula; constructing a but answer comprising the original formula, a but formula, and the bridge formula, the but formula being a negation of a resolvent of the original formula and the bridge formula; validating the but answer; and transmitting or displaying the but answer with at least the original formula and the but formula. | 11. A non-transitory, computer-readable medium encoded with computer-executable instructions for a processor to implement an inconsistent reasoner that responds to a Boolean query using an inconsistent knowledge base, the instructions comprising: receiving the Boolean query including an original formula; determining if the inconsistent knowledge base non-standardly entails the original formula; when the inconsistent knowledge base non-standardly entails the original formula, selecting a bridge formula that is non-standardly entailed by the inconsistent knowledge base, can be resolved with the original formula, and does not contradict the original formula; constructing a but answer comprising the original formula, a but formula, and the bridge formula, the but formula being a negation of a resolvent of the original formula and the bridge formula; validating the but answer; and transmitting or displaying the but answer with at least the original formula and the but formula. 15. The non-transitory, computer-readable medium of claim 11 , wherein the validating the but answer comprises determining if the inconsistent knowledge base non-standardly entails the but formula, and the but answer is validated when the inconsistent knowledge base non-standardly entails the but formula. | 0.881853 |
8,645,419 | 1 | 11 | 1. A method of enhancing service diagnostics for root cause analysis of an identified problem in a vehicle by generating a functional taxonomy database that is utilized in cooperation with a structural taxonomy database, the structural taxonomy database identifying structural relationships between parts of a vehicle, and the functional taxonomy database identifying functional relationships between parts of the vehicle, the method comprising the steps of: obtaining service data of previously serviced vehicles from a memory storage device, the service data identifying parts serviced on the vehicles during a respective service repair; compiling the service data based on a history of service repairs for each vehicle; identifying each vehicle within the compiled service data having at least two service repairs performed within a predetermined period of time; identifying combinations of parts serviced for each vehicle; determining a count indicating a number of times each combination appears in the compiled service data for the identified vehicles having at least two service repairs; identifying the combinations having counts greater than a predetermined threshold; determining whether any of the combinations having counts greater than the predetermined threshold are present in the structural taxonomy database; selecting only the combinations that are not present in the structural taxonomy database and have counts greater than the predetermined threshold; and updating a functional taxonomy database by assigning the selected combinations to the function taxonomy database, wherein the functional taxonomy database and the structural taxonomy database are made available to a service technician via a computer to assist the service technician in diagnosing the root cause. | 1. A method of enhancing service diagnostics for root cause analysis of an identified problem in a vehicle by generating a functional taxonomy database that is utilized in cooperation with a structural taxonomy database, the structural taxonomy database identifying structural relationships between parts of a vehicle, and the functional taxonomy database identifying functional relationships between parts of the vehicle, the method comprising the steps of: obtaining service data of previously serviced vehicles from a memory storage device, the service data identifying parts serviced on the vehicles during a respective service repair; compiling the service data based on a history of service repairs for each vehicle; identifying each vehicle within the compiled service data having at least two service repairs performed within a predetermined period of time; identifying combinations of parts serviced for each vehicle; determining a count indicating a number of times each combination appears in the compiled service data for the identified vehicles having at least two service repairs; identifying the combinations having counts greater than a predetermined threshold; determining whether any of the combinations having counts greater than the predetermined threshold are present in the structural taxonomy database; selecting only the combinations that are not present in the structural taxonomy database and have counts greater than the predetermined threshold; and updating a functional taxonomy database by assigning the selected combinations to the function taxonomy database, wherein the functional taxonomy database and the structural taxonomy database are made available to a service technician via a computer to assist the service technician in diagnosing the root cause. 11. The method of claim 1 wherein the predetermined threshold is at least 5. | 0.948087 |
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