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8,805,814 | 1 | 2 | 1. A computer system for searching databases and displaying search results, comprising: one or more databases storing information regarding publications, said information comprising author, title, date of publication, abstract, cited references, and citing references data; and one or more Internet servers in communication with said one or more databases; wherein at least one of said one or more Internet servers is in communication with and configured to transmit data to a Web browser application resident on a user's computer, and wherein said data is sufficient to enable said browser to display: (a) a search page that allows said user to input publication search parameters; and (b) a results page comprising: a tabular display of results that allows said user to sort results according to date, relevance, author, source title, and number of citations to each publication, wherein said display of results further comprises an indication of availability of a link allowing said user access to the full text for each respective result and a link to at least one aspect of the publication corresponding to said result, and a listing of subsets of said results, located on screen and separate from said display of results, wherein said listing of subsets comprises a source title subset, a author name subset, a year subset, a document type subset, and a subject area subset, wherein the number of results in each said subset is listed adjacent to each respective subset to allow for at-a-glance evaluation of said results, wherein said subsets are user selectable, and wherein said user may limit said results on said results page to said selected subsets and said user may exclude from said results on said results page said selected subsets; (c) a record page for providing further details of a result, said record page including a reference citing to said result. | 1. A computer system for searching databases and displaying search results, comprising: one or more databases storing information regarding publications, said information comprising author, title, date of publication, abstract, cited references, and citing references data; and one or more Internet servers in communication with said one or more databases; wherein at least one of said one or more Internet servers is in communication with and configured to transmit data to a Web browser application resident on a user's computer, and wherein said data is sufficient to enable said browser to display: (a) a search page that allows said user to input publication search parameters; and (b) a results page comprising: a tabular display of results that allows said user to sort results according to date, relevance, author, source title, and number of citations to each publication, wherein said display of results further comprises an indication of availability of a link allowing said user access to the full text for each respective result and a link to at least one aspect of the publication corresponding to said result, and a listing of subsets of said results, located on screen and separate from said display of results, wherein said listing of subsets comprises a source title subset, a author name subset, a year subset, a document type subset, and a subject area subset, wherein the number of results in each said subset is listed adjacent to each respective subset to allow for at-a-glance evaluation of said results, wherein said subsets are user selectable, and wherein said user may limit said results on said results page to said selected subsets and said user may exclude from said results on said results page said selected subsets; (c) a record page for providing further details of a result, said record page including a reference citing to said result. 2. The computer system of claim 1 , wherein, for at least one publication, said aspect comprises a full text display of said publication. | 0.797337 |
6,167,409 | 46 | 54 | 46. A computer-implemented process of producing a digital form of a digital document, wherein the document can be one of several different types and with varying content, the process comprising: sending a request for at least part of a document; accessing a definition of additional content for a type of the document; generating an additional content component according to the definition of additional content for the type of the document; receiving a selected portion of the content of the document, the portion having been selected in accordance with the request; combining the additional content component with the content of the portion of the document to obtain a digital form of the document. | 46. A computer-implemented process of producing a digital form of a digital document, wherein the document can be one of several different types and with varying content, the process comprising: sending a request for at least part of a document; accessing a definition of additional content for a type of the document; generating an additional content component according to the definition of additional content for the type of the document; receiving a selected portion of the content of the document, the portion having been selected in accordance with the request; combining the additional content component with the content of the portion of the document to obtain a digital form of the document. 54. The process of claim 46, wherein the definition of additional content includes a function to be evaluated in context with an element to which the definition is applied. | 0.691756 |
4,812,966 | 5 | 6 | 5. A method for searching for a prescribed word block having a head portion at its beginning and a tail portion at its end, said head portion and said tail portion constituting less than the entirety of said word block, said searching being performed within a document that is stored in a memory of word processing equipment, comprising the steps of: inputting to the word processing equipment a leading word which serves to define a head portion of a word block desired to be located; searching the document for a first word corresponding to said leading word; inputting to the word processing equipment a trailing word which serves to define a tail portion of the word block desired to be located; searching the document for a second word corresponding to said trailing word; and displaying a word block that is defined between said first word corresponding to said leading word, and said second word corresponding to said trailing word. | 5. A method for searching for a prescribed word block having a head portion at its beginning and a tail portion at its end, said head portion and said tail portion constituting less than the entirety of said word block, said searching being performed within a document that is stored in a memory of word processing equipment, comprising the steps of: inputting to the word processing equipment a leading word which serves to define a head portion of a word block desired to be located; searching the document for a first word corresponding to said leading word; inputting to the word processing equipment a trailing word which serves to define a tail portion of the word block desired to be located; searching the document for a second word corresponding to said trailing word; and displaying a word block that is defined between said first word corresponding to said leading word, and said second word corresponding to said trailing word. 6. A method according to claim 5, further comprising the steps of: repeating said leading word searching step and said trailing word searching step to define a plurality of word blocks having said corresponding head portion and said corresponding trailing portion; and displaying each of said plurality of word blocks. | 0.5 |
9,940,476 | 11 | 12 | 11. A computer program product for selective exposure of document tags associated with a plurality of online search engine content based on a predetermined user criteria to facilitate selective exposure of documents by specifying additional qualifications on a search tag, the computer program product comprising: one or more computer-readable storage devices and program instructions stored on at least one of the one or more tangible storage devices, the program instructions executable by a processor, the program instructions comprising: program instructions to add, by a computing device, a content tag associated with the plurality of search engine content with a plurality of metadata, wherein the plurality of metadata includes a text and an access control, wherein the text comprises at least one of a phrase, a keyword, and a string, and wherein the access control is a group of users that is defined by a criteria comprising of at least one of a membership, a credential, an age group, and an authentication; program instructions to accept, by the computing device, key words and a user group id, wherein the user group id corresponds to the access control; program instructions to search, by the computing device, the plurality of online search engine content with key words; program instructions to collect, by the computing device, the searched plurality of online search engine content, wherein the key words match the content tag; program instructions to remove, by the computing device, the collected plurality of online search engine content that is not associated with the user group id to create a filtered list; and program instructions to return, by the computing device, the filtered list. | 11. A computer program product for selective exposure of document tags associated with a plurality of online search engine content based on a predetermined user criteria to facilitate selective exposure of documents by specifying additional qualifications on a search tag, the computer program product comprising: one or more computer-readable storage devices and program instructions stored on at least one of the one or more tangible storage devices, the program instructions executable by a processor, the program instructions comprising: program instructions to add, by a computing device, a content tag associated with the plurality of search engine content with a plurality of metadata, wherein the plurality of metadata includes a text and an access control, wherein the text comprises at least one of a phrase, a keyword, and a string, and wherein the access control is a group of users that is defined by a criteria comprising of at least one of a membership, a credential, an age group, and an authentication; program instructions to accept, by the computing device, key words and a user group id, wherein the user group id corresponds to the access control; program instructions to search, by the computing device, the plurality of online search engine content with key words; program instructions to collect, by the computing device, the searched plurality of online search engine content, wherein the key words match the content tag; program instructions to remove, by the computing device, the collected plurality of online search engine content that is not associated with the user group id to create a filtered list; and program instructions to return, by the computing device, the filtered list. 12. The computer program product of claim 11 , wherein the selective exposure of document tags is associated with at least one of a search, an access, and a feed associated with an online search engine. | 0.732804 |
8,370,386 | 17 | 19 | 17. The computer programmed according to claim 13 wherein to obtain a list of text strings from a template string, said computer is programmed to: initialize a list containing an empty string; loop through all characters of the template string; identify all variables specified in the template string; update the list using a variable for each identified variable; and append each normal or escaped character in the template string to each string in the list. | 17. The computer programmed according to claim 13 wherein to obtain a list of text strings from a template string, said computer is programmed to: initialize a list containing an empty string; loop through all characters of the template string; identify all variables specified in the template string; update the list using a variable for each identified variable; and append each normal or escaped character in the template string to each string in the list. 19. The computer programmed according to claim 17 wherein to update the list using a variable, said computer is programmed to: loop through all strings in the list; if a template variable is a scalar variable, append the value of the scalar variable to each string in the list; and if a template variable is a collection variable, remove a string from the list for each string in the list; and add a new string into the list where the new string is obtained by appending an item from the collection value of the variable for each item from the variable value. | 0.5 |
10,084,915 | 1 | 6 | 1. A method for determining whether a call has reached a live party or a machine, comprising the steps of: analyzing a cadence of audio of the call by a call handler that is handling the call; while analyzing the cadence of the audio, analyzing the audio of the call by a speech analytics system to detect one or more keywords; making a first determination that the call has reached the live party or the machine by the call handler based on the cadence of the audio; receiving an event at the call handler from the speech analytics system as a result of the speech analytics system detecting a particular keyword in the audio of the call; upon receiving the event, making a second determination that the call has reached the live party or the machine by the call handler based on the event; and connecting the call with a second live party by the call handler so that the second live party can converse with the live party reached on the call in response to the first and second determinations indicating the call has reached the live party. | 1. A method for determining whether a call has reached a live party or a machine, comprising the steps of: analyzing a cadence of audio of the call by a call handler that is handling the call; while analyzing the cadence of the audio, analyzing the audio of the call by a speech analytics system to detect one or more keywords; making a first determination that the call has reached the live party or the machine by the call handler based on the cadence of the audio; receiving an event at the call handler from the speech analytics system as a result of the speech analytics system detecting a particular keyword in the audio of the call; upon receiving the event, making a second determination that the call has reached the live party or the machine by the call handler based on the event; and connecting the call with a second live party by the call handler so that the second live party can converse with the live party reached on the call in response to the first and second determinations indicating the call has reached the live party. 6. The method of claim 1 further comprising the step of having a message played over the call in response to the first determination indicating the call has reached the live party and the second determination indicating the call has reached the machine. | 0.652473 |
9,104,664 | 18 | 21 | 18. A non-transitory computer readable storage medium containing instructions that, when executed by a processor cause the processor to perform a method comprising: prerendering a search engine page in a hidden browser instance, such that at least some portion of content of the search engine page other than search results responsive to a search query is rendered; receiving the search query via a text entry field; passing the search query to the search engine page to perform a search using the search query; and merging the prerendered content of the search engine page with display content loaded in an active browser instance to facilitate display of one or more search results responsive to the search query as the one or more search results are received via the search engine. | 18. A non-transitory computer readable storage medium containing instructions that, when executed by a processor cause the processor to perform a method comprising: prerendering a search engine page in a hidden browser instance, such that at least some portion of content of the search engine page other than search results responsive to a search query is rendered; receiving the search query via a text entry field; passing the search query to the search engine page to perform a search using the search query; and merging the prerendered content of the search engine page with display content loaded in an active browser instance to facilitate display of one or more search results responsive to the search query as the one or more search results are received via the search engine. 21. The non-transitory computer readable storage medium of claim 18 , wherein the search query is passed to the search engine page using a search application programming interface (API). | 0.5 |
8,930,378 | 17 | 23 | 17. A system comprising: one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors being operable when executing the instructions to: maintain one or more data stores storing asocial graph comprising a plurality of nodes and a plurality of edges, the nodes comprising user nodes corresponding to users of a social-networking system and concept nodes corresponding to concepts, wherein each edge connects two of the nodes, each of the edges being associated with an affinity score; determine a confidence score between a first one of the user nodes and a first one of the concept nodes based at least in part on one or more affinity scores associated with one or more edges between the first one of the user nodes and the first one of the concept nodes in the social graph; and store the confidence score in the data stores. | 17. A system comprising: one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors being operable when executing the instructions to: maintain one or more data stores storing asocial graph comprising a plurality of nodes and a plurality of edges, the nodes comprising user nodes corresponding to users of a social-networking system and concept nodes corresponding to concepts, wherein each edge connects two of the nodes, each of the edges being associated with an affinity score; determine a confidence score between a first one of the user nodes and a first one of the concept nodes based at least in part on one or more affinity scores associated with one or more edges between the first one of the user nodes and the first one of the concept nodes in the social graph; and store the confidence score in the data stores. 23. The system of claim 17 , wherein: the first one of the user nodes is associated with a voice segment from a speech of the user, a subset of the concept nodes are associated with one or more phonemes, the subset comprising the first one of the concept nodes, and one or more edges connect the first one of the user nodes to one or more of the subset of the concept nodes, each edge being associated with a similarity number; and wherein the determining the confidence score is based at least in part on one or more similarity scores associated with one or more edges between the first one of the user nodes and the first one of the concept nodes in the social graph. | 0.5 |
8,775,420 | 8 | 11 | 8. A method comprising: receiving a search request by at least one server computer, the search request identifying search criteria; performing, by the at least one server computer, a search of geographically referenced information using the search criteria to identify search results, the search results comprising a plurality of result items, each result item of the plurality having associated text for a display of the search results and having an associated location; for each result item of the plurality, the at least one server computer determining a distance of the result item from a user's location using the user's location and the result item's associated location; and causing a communication of presentation data to a user device for the display of the search results, the display of the search results comprises the text for each of the plurality of result items, the presentation data operable to vary at least one appearance characteristic of the text of at least one result item of the search results based on the at least one result item's distance from the user's location, the result item's distance from the user's location is determined using the user's location and the at least one result item's associated location and one of the plurality of result items closest in distance to the user's location relative to other ones of the plurality of result items is displayed more prominently than the other ones of the plurality of result items, wherein the at least one appearance characteristic is selected from the group consisting of font size, font style, color, shading, three-dimensional height, associated features, and animation. | 8. A method comprising: receiving a search request by at least one server computer, the search request identifying search criteria; performing, by the at least one server computer, a search of geographically referenced information using the search criteria to identify search results, the search results comprising a plurality of result items, each result item of the plurality having associated text for a display of the search results and having an associated location; for each result item of the plurality, the at least one server computer determining a distance of the result item from a user's location using the user's location and the result item's associated location; and causing a communication of presentation data to a user device for the display of the search results, the display of the search results comprises the text for each of the plurality of result items, the presentation data operable to vary at least one appearance characteristic of the text of at least one result item of the search results based on the at least one result item's distance from the user's location, the result item's distance from the user's location is determined using the user's location and the at least one result item's associated location and one of the plurality of result items closest in distance to the user's location relative to other ones of the plurality of result items is displayed more prominently than the other ones of the plurality of result items, wherein the at least one appearance characteristic is selected from the group consisting of font size, font style, color, shading, three-dimensional height, associated features, and animation. 11. The method of claim 8 , wherein the presentation data is further operable to vary the at least one appearance characteristic of the text of the at least one result item of the search results based on the at least one result item's distance from the user's location relative to at least one other result item's distance from the user's location. | 0.5 |
7,809,671 | 5 | 6 | 5. The knowledge transfer system of claim 4 wherein the portal page creation process is configured to create the plurality of web pages including at least one web page for each respective expert worker and at least one web page for each respective apprentice worker. | 5. The knowledge transfer system of claim 4 wherein the portal page creation process is configured to create the plurality of web pages including at least one web page for each respective expert worker and at least one web page for each respective apprentice worker. 6. The knowledge transfer system of claim 5 further comprising collaboration tools and a document repository wherein the portal page creation process is configured to create necessary linkages between the plurality of web pages and the collaboration tools and the document repository. | 0.5 |
6,012,055 | 1 | 2 | 1. A method of searching an information space, comprising the steps, performed by a data processing system, of: displaying an initial window, wherein one navigator of a plurality of navigators, designated as a first current navigator, is displayed in a current navigator area; displaying, in the initial window, respective navigator areas representing others of the plurality of navigators; inputting an indication that the user wishes to use a particular one of the other navigators as a new current navigator; and displaying, in the current navigator area of the initial window, the particular navigator indicated by the user in the current navigator window, in place of the current navigator. | 1. A method of searching an information space, comprising the steps, performed by a data processing system, of: displaying an initial window, wherein one navigator of a plurality of navigators, designated as a first current navigator, is displayed in a current navigator area; displaying, in the initial window, respective navigator areas representing others of the plurality of navigators; inputting an indication that the user wishes to use a particular one of the other navigators as a new current navigator; and displaying, in the current navigator area of the initial window, the particular navigator indicated by the user in the current navigator window, in place of the current navigator. 2. The method of claim 1, wherein the step of displaying respective navigator areas includes the step of displaying minimized navigator areas including portions of the other navigators; and further including the step of switching the first current navigator and the new current navigator between the minimized navigator area and the current navigator area. | 0.607064 |
8,301,594 | 11 | 13 | 11. A context providing apparatus comprising: a context holding unit comprising a memory device, the context holding unit configured to record a plurality of context information, wherein each context information includes a context entity identifier for distinguishing a context entity from other context entities, various information representing a state of the context entity, and association information; a context request reception unit configured to receive a request for information representing the state of a first context entity; a context generation unit configured to, in response to the request received by said context request reception unit, from said context holding unit, extract the context information of the first context entity, extract the context information of a second context entity which is registered as the association information in the context information of the first context entity, and execute, at least once, a process of extracting the context information of a third context entity which is registered as the association information in the extracted context information excluding the context information of the first context entity, but not registered as the association information in the context information of the first context entity, to determine, as the information representing the state of the first context entity, the information contained in any of the extracted context information; and a context transmission unit configured to send back the information determined by said context generation unit to respond to the request. | 11. A context providing apparatus comprising: a context holding unit comprising a memory device, the context holding unit configured to record a plurality of context information, wherein each context information includes a context entity identifier for distinguishing a context entity from other context entities, various information representing a state of the context entity, and association information; a context request reception unit configured to receive a request for information representing the state of a first context entity; a context generation unit configured to, in response to the request received by said context request reception unit, from said context holding unit, extract the context information of the first context entity, extract the context information of a second context entity which is registered as the association information in the context information of the first context entity, and execute, at least once, a process of extracting the context information of a third context entity which is registered as the association information in the extracted context information excluding the context information of the first context entity, but not registered as the association information in the context information of the first context entity, to determine, as the information representing the state of the first context entity, the information contained in any of the extracted context information; and a context transmission unit configured to send back the information determined by said context generation unit to respond to the request. 13. The context providing apparatus according to claim 11 , wherein said context generation unit is further configured to determine, as the information representing the state of the first context entity, the information having the least error among the information contained in the first through the third context information. | 0.664609 |
8,655,668 | 1 | 5 | 1. A system comprising: a receiving unit configured to receive a communication between a practitioner and a patient; a processing unit in communication with the receiving unit, the processing unit configured to identify a presence of a cultural sensitivity of the patient in the received communication, determine guidance for dealing with the identified cultural sensitivity, and interpret and/or translate the received communication into a target language. | 1. A system comprising: a receiving unit configured to receive a communication between a practitioner and a patient; a processing unit in communication with the receiving unit, the processing unit configured to identify a presence of a cultural sensitivity of the patient in the received communication, determine guidance for dealing with the identified cultural sensitivity, and interpret and/or translate the received communication into a target language. 5. The system of claim 1 , wherein the processing unit is further configured to generate an interlingua for automated interpretation and/or translation of the received communication in a clinical encounter with the patient. | 0.555777 |
8,756,237 | 1 | 9 | 1. A method comprising: receiving, with a database system, a first query and a second query for a Resource Description Framework (RDF) database that stores a plurality of data chunks to one or more storage drives, wherein each of the plurality of data chunks includes a plurality of triples that represent an RDF subgraph of the RDF database; accessing a first index that indexes one or more of the data chunks to identify a first subset of the data chunks relevant to the first query, wherein the first index comprises keys defined by a first characteristic of the first subset of the data chunks; loading the first subset of the data chunks to a main memory associated with the database system; executing the first query only against triples included within the subset of the data chunks loaded to the main memory to obtain a query result for the first query; based on the query result for the first query, accessing a second index to identify a second subset of the data chunks relevant to the second query, wherein the second index comprises keys defined by a second characteristic of the second subset of the data chunks; loading the second subset of the data chunks to the main memory; and executing the second query only against triples included within the first subset of the data chunks and the second subset of the data chunks loaded to the main memory to obtain a query result for the second query. | 1. A method comprising: receiving, with a database system, a first query and a second query for a Resource Description Framework (RDF) database that stores a plurality of data chunks to one or more storage drives, wherein each of the plurality of data chunks includes a plurality of triples that represent an RDF subgraph of the RDF database; accessing a first index that indexes one or more of the data chunks to identify a first subset of the data chunks relevant to the first query, wherein the first index comprises keys defined by a first characteristic of the first subset of the data chunks; loading the first subset of the data chunks to a main memory associated with the database system; executing the first query only against triples included within the subset of the data chunks loaded to the main memory to obtain a query result for the first query; based on the query result for the first query, accessing a second index to identify a second subset of the data chunks relevant to the second query, wherein the second index comprises keys defined by a second characteristic of the second subset of the data chunks; loading the second subset of the data chunks to the main memory; and executing the second query only against triples included within the first subset of the data chunks and the second subset of the data chunks loaded to the main memory to obtain a query result for the second query. 9. The method of claim 1 , further comprising: using the query result of the first query to select at least one data chunk of the first subset of data chunks to be cleared from main memory prior to loading the second subset of the data chunks. | 0.825431 |
9,900,498 | 1 | 9 | 1. A glass-type mobile terminal, comprising: a frame body configured to be worn as glasses by a user; a display mounted on the frame body; a camera mounted on the frame body; and a controller configured to: detect user's emotion information and user's linguistic expression information on an object, and control the camera to automatically capture an image corresponding to the object currently viewed with the glass-type mobile terminal based on the linguistic expression information and the emotion information of the user on the currently viewed object, wherein the controller is configured to detect a user's facial expression when the user is viewing the object and output the detected facial expression as the emotion information on the object and to recognize an utterance of the user when the user is viewing the object, and detect the recognized utterance as the user's linguistic expression information, wherein the controller is further configured to detect a user's gazing time at the currently viewed object, store the detected gazing time to a memory together with the image corresponding to the currently viewed object, set an order of priority on the at least one image based on the user's gazing time with respect to the currently viewed object, and differently display the at least one image in the order of priority, and wherein the controller is further configured to: display the emotion information of the user, the image and the linguistic expression information of the user on the display, display a plurality of images related to the emotion information on the display when a user gazes at the emotion information for a preset time, and differently change a display size of each of the plurality of images according to an order of interest of the user. | 1. A glass-type mobile terminal, comprising: a frame body configured to be worn as glasses by a user; a display mounted on the frame body; a camera mounted on the frame body; and a controller configured to: detect user's emotion information and user's linguistic expression information on an object, and control the camera to automatically capture an image corresponding to the object currently viewed with the glass-type mobile terminal based on the linguistic expression information and the emotion information of the user on the currently viewed object, wherein the controller is configured to detect a user's facial expression when the user is viewing the object and output the detected facial expression as the emotion information on the object and to recognize an utterance of the user when the user is viewing the object, and detect the recognized utterance as the user's linguistic expression information, wherein the controller is further configured to detect a user's gazing time at the currently viewed object, store the detected gazing time to a memory together with the image corresponding to the currently viewed object, set an order of priority on the at least one image based on the user's gazing time with respect to the currently viewed object, and differently display the at least one image in the order of priority, and wherein the controller is further configured to: display the emotion information of the user, the image and the linguistic expression information of the user on the display, display a plurality of images related to the emotion information on the display when a user gazes at the emotion information for a preset time, and differently change a display size of each of the plurality of images according to an order of interest of the user. 9. The glass-type mobile terminal of claim 1 , wherein the controller is further configured to: display an icon indicating the emotion information of the user when the image capturing is terminated, the object is out of an angle of view of the camera, or a current position of the glass-type terminal is changed. | 0.677019 |
9,104,738 | 15 | 24 | 15. A method for leveraging external cloud services on an existing cloud platform to enable client applications to interact with shared content created and maintained via a cloud app on the cloud platform, the method including the following steps: (a) utilizing the cloud services to extract the shared content from the cloud platform; and (b) interpreting the extracted shared content and repurposing the extracted shared content to enable a client application to provide additional content-specific functionality with respect to the extracted shared content. | 15. A method for leveraging external cloud services on an existing cloud platform to enable client applications to interact with shared content created and maintained via a cloud app on the cloud platform, the method including the following steps: (a) utilizing the cloud services to extract the shared content from the cloud platform; and (b) interpreting the extracted shared content and repurposing the extracted shared content to enable a client application to provide additional content-specific functionality with respect to the extracted shared content. 24. The method of claim 15 , wherein the cloud platform provides a notification when the shared content, or access control settings relating to the shared content, has been modified. | 0.545 |
7,949,647 | 10 | 14 | 10. A system for providing search assistance, comprising: a suggested search manager configured to receive at least a partial search query input by a user to a search engine, the at least a partial search query not being a uniform resource locator (URL); and a navigational query determiner coupled to the suggested search manager, wherein the navigational query determiner is configured to predict whether the received at least a partial search query is a navigational query, and if the received at least a partial search query is predicted to be a navigational query, to select a web address based on the navigational query; wherein the navigational query determiner is configured to identify a plurality of search queries in a history of search queries that include the received at least a partial search query, the identified search queries each having one or more associated clicked web pages that have click-related data values, and to predict that the received at least a partial search query is a navigational query by comparing the click-related data values of the clicked web pages to each other to determine a web page associated with a search query of the identified search queries having an associated click-related data value that is greater than click-related data values associated with others of the web pages associated with the identified search queries; wherein the suggested search manager is configured to generate a search assistance list that includes the selected web address, and to enable the search assistance list to be displayed to the user in response to the received at least a partial search query; wherein the navigational query determiner is configured to determine that the received at least a partial search query is a navigational query if a web page associated with a search query of the identified search queries has a click through rate that is greater than click through rates of other web pages associated with the identified search queries by a predetermined amount; and wherein the navigational query determiner is configured to use a web address of the web page as the selected web address. | 10. A system for providing search assistance, comprising: a suggested search manager configured to receive at least a partial search query input by a user to a search engine, the at least a partial search query not being a uniform resource locator (URL); and a navigational query determiner coupled to the suggested search manager, wherein the navigational query determiner is configured to predict whether the received at least a partial search query is a navigational query, and if the received at least a partial search query is predicted to be a navigational query, to select a web address based on the navigational query; wherein the navigational query determiner is configured to identify a plurality of search queries in a history of search queries that include the received at least a partial search query, the identified search queries each having one or more associated clicked web pages that have click-related data values, and to predict that the received at least a partial search query is a navigational query by comparing the click-related data values of the clicked web pages to each other to determine a web page associated with a search query of the identified search queries having an associated click-related data value that is greater than click-related data values associated with others of the web pages associated with the identified search queries; wherein the suggested search manager is configured to generate a search assistance list that includes the selected web address, and to enable the search assistance list to be displayed to the user in response to the received at least a partial search query; wherein the navigational query determiner is configured to determine that the received at least a partial search query is a navigational query if a web page associated with a search query of the identified search queries has a click through rate that is greater than click through rates of other web pages associated with the identified search queries by a predetermined amount; and wherein the navigational query determiner is configured to use a web address of the web page as the selected web address. 14. The system of claim 10 , wherein the suggested search manager is configured to configure the search assistance list such that the selected web address is configured to be listed first in a display of the search assistance list to the user. | 0.5 |
7,562,286 | 2 | 3 | 2. The document management apparatus according to claim 1 , wherein the document call request accepting device is configured to accept, together with the document ID, a request of a method that designates information to be returned by the returning device to the requesting device, and wherein the returning device is configured to return, when the connection to the desired node specified by the document ID has been made, the information designated by the method to be returned by the returning device to the requesting device, the information to the requesting device making the document call request. | 2. The document management apparatus according to claim 1 , wherein the document call request accepting device is configured to accept, together with the document ID, a request of a method that designates information to be returned by the returning device to the requesting device, and wherein the returning device is configured to return, when the connection to the desired node specified by the document ID has been made, the information designated by the method to be returned by the returning device to the requesting device, the information to the requesting device making the document call request. 3. The document management apparatus according to claim 2 , wherein the document call request accepting device is configured to accept a request for a property of the desired node specified by the document ID, and wherein the returning device is configured to return, when the request for the property of the desired node specified by the document ID has been accepted by the document call request accepting device, the property of the desired node specified by the document ID, the property of the desired node specified by the document ID to the requesting device making the document call request. | 0.544833 |
9,128,986 | 13 | 20 | 13. A system comprising: one or more processors; a database having one or more tables; an Extensible Markup Language (XML) file corresponding to a database table comprising business data within the database, wherein the XML file: identifies fields within the database table; and includes queries that are performable on the database table in response to user input; one or more data objects generated by parsing the XML file and basing the one or more data objects on information parsed from the XML file, wherein each of the generated one or more data objects are associated with the XML file, at least one of the generated one or more data objects are implementable for preparing a user interface screen for the database datable corresponding to the XML file, and at least one of the generated one or more data objects includes: the included queries that are performable on the database table in response to user input; and instructions for executing data operations on the database table corresponding to the XML file; one or more non-transitory computer-readable storage media storing computer readable instructions that when executed by the processors cause the processors to manage the database using: a receiving module configured to receive an input command from a user for executing a data operation on the database table; and a function module configured for processing the input command for maintaining the database table, the function module comprising: an identification module configured for identifying from among a plurality of XML files, the XML file corresponding to the database table as identified in the input command, a screen preparation module configured to prepare a user interface screen suitable for enabling the user to perform the data operation identified in the input command, wherein the user interface screen is prepared by utilizing data within one or more selected data objects associated with the XML file, and selection of the one or more selected objects is based on the data operation identified in the input command; and a query processing module configured to respond to the data operation identified in the input command by executing a query for maintaining the database table wherein the executed query is generated based on query information within the XML file corresponding to the database table identified within the input command. | 13. A system comprising: one or more processors; a database having one or more tables; an Extensible Markup Language (XML) file corresponding to a database table comprising business data within the database, wherein the XML file: identifies fields within the database table; and includes queries that are performable on the database table in response to user input; one or more data objects generated by parsing the XML file and basing the one or more data objects on information parsed from the XML file, wherein each of the generated one or more data objects are associated with the XML file, at least one of the generated one or more data objects are implementable for preparing a user interface screen for the database datable corresponding to the XML file, and at least one of the generated one or more data objects includes: the included queries that are performable on the database table in response to user input; and instructions for executing data operations on the database table corresponding to the XML file; one or more non-transitory computer-readable storage media storing computer readable instructions that when executed by the processors cause the processors to manage the database using: a receiving module configured to receive an input command from a user for executing a data operation on the database table; and a function module configured for processing the input command for maintaining the database table, the function module comprising: an identification module configured for identifying from among a plurality of XML files, the XML file corresponding to the database table as identified in the input command, a screen preparation module configured to prepare a user interface screen suitable for enabling the user to perform the data operation identified in the input command, wherein the user interface screen is prepared by utilizing data within one or more selected data objects associated with the XML file, and selection of the one or more selected objects is based on the data operation identified in the input command; and a query processing module configured to respond to the data operation identified in the input command by executing a query for maintaining the database table wherein the executed query is generated based on query information within the XML file corresponding to the database table identified within the input command. 20. The system of claim 13 , further comprising an object retrieving module configured for retrieving a table object from the plurality of objects, the table object comprising a screen object and one or more parameters corresponding to the table. | 0.613208 |
8,386,937 | 9 | 11 | 9. A method according to claim 1 , wherein the user input selecting the plurality of network device configuration files includes selection of a network element from among a set of network elements presented via the graphical user interface. | 9. A method according to claim 1 , wherein the user input selecting the plurality of network device configuration files includes selection of a network element from among a set of network elements presented via the graphical user interface. 11. A method according to claim 9 , wherein the network element represents a logical component having a number of associated network devices, each network device having an associated network device configuration file, and wherein the selected design filter is applied to each of such associated network device configuration files. | 0.5 |
4,464,070 | 17 | 19 | 17. A method of operating a text recorder including a text display for displaying character sequences, an operator actuated keyboard for producing coded signals corresponding to operator actuated keys and a decoder for responding to coded signals and producing drive signals to display corresponding characters, to display multi-character sequences in response to operator actuation of a single key of a subset of keys of said keyboard but only when in a multi-character mode, and in which said subset of keys corresponds to non-alphabetic keys, comprising the steps of: (a) providing a storage device correlating signals corresponding to specific key actuation with identification of the subset of keys arranged to produce said multi-character sequence, (b) providing a mode means responsive to operator actuation to control an operating mode as either a normal or multi-character mode, said mode means responsive to operator action to alter an operating mode from a prior operating mode to a new operating mode and to maintain said new operating mode until further operator action, (c) inhibiting normal operating of said decoder when in a multi-character mode and said storage device identifies a key actuation in said subset, (d) producing, from a second storage device, a sequence of signals definitive of a multi-character sequence corresponding to said specific key actuation in response to said actuation of a key in said subset, in which said step (d) includes producing from said second storage device one or another sequence of signals definitive of one or another multi-character sequence corresponding to said specific key actuation in dependence on a specific prior key actuation, whereby a multi-character sequence is produced each time any key in said subset is actuated in response solely to said actuation of said any key. | 17. A method of operating a text recorder including a text display for displaying character sequences, an operator actuated keyboard for producing coded signals corresponding to operator actuated keys and a decoder for responding to coded signals and producing drive signals to display corresponding characters, to display multi-character sequences in response to operator actuation of a single key of a subset of keys of said keyboard but only when in a multi-character mode, and in which said subset of keys corresponds to non-alphabetic keys, comprising the steps of: (a) providing a storage device correlating signals corresponding to specific key actuation with identification of the subset of keys arranged to produce said multi-character sequence, (b) providing a mode means responsive to operator actuation to control an operating mode as either a normal or multi-character mode, said mode means responsive to operator action to alter an operating mode from a prior operating mode to a new operating mode and to maintain said new operating mode until further operator action, (c) inhibiting normal operating of said decoder when in a multi-character mode and said storage device identifies a key actuation in said subset, (d) producing, from a second storage device, a sequence of signals definitive of a multi-character sequence corresponding to said specific key actuation in response to said actuation of a key in said subset, in which said step (d) includes producing from said second storage device one or another sequence of signals definitive of one or another multi-character sequence corresponding to said specific key actuation in dependence on a specific prior key actuation, whereby a multi-character sequence is produced each time any key in said subset is actuated in response solely to said actuation of said any key. 19. The method of claim 17 in which said one multi-character sequence is a punctuation graphic and said another multi-character sequence is a word and wherein said another sequence is produced only if said specific prior key actuation is a function and not a character or graphic. | 0.527027 |
8,407,218 | 2 | 3 | 2. The computing device of claim 1 , wherein the population search module obtains demographic information from a demographic information source accessible by the computing device, and stores the search information in a plurality of demographic categories based on the demographic information. | 2. The computing device of claim 1 , wherein the population search module obtains demographic information from a demographic information source accessible by the computing device, and stores the search information in a plurality of demographic categories based on the demographic information. 3. The computing device of claim 2 , wherein the population search module extracts the demographic information from a corporate directory, and the population search module identifies the plurality of demographic categories by analyzing the demographic information from the corporate directory. | 0.5 |
7,734,468 | 5 | 6 | 5. The method of claim 1 , wherein the determining a final dialog turn comprises: determining from the status information on the spoken dialog system whether the spoken dialog system is presently speaking; if it is determined that the spoken dialog system is presently speaking, determining the final dialog turn depending on the information on whether the user speech is input and the selected one dialog turn information; and if it is determined that the spoken dialog system is not presently speaking, determining the final dialog turn depending on the information on the user no-answer time or the selected one dialog turn information. | 5. The method of claim 1 , wherein the determining a final dialog turn comprises: determining from the status information on the spoken dialog system whether the spoken dialog system is presently speaking; if it is determined that the spoken dialog system is presently speaking, determining the final dialog turn depending on the information on whether the user speech is input and the selected one dialog turn information; and if it is determined that the spoken dialog system is not presently speaking, determining the final dialog turn depending on the information on the user no-answer time or the selected one dialog turn information. 6. The method of claim 5 , wherein the determining the final dialog turn depending on the information on whether the user speech is input and the selected one dialog turn information comprises: determining whether the user speech is input; if it is determined that the user speech has been input, controlling the spoken dialog system so as to stop speaking; and if it is determined that the user speech has not been input, controlling the spoken dialog system so as to one of stop, keep, and commence speaking determined based on the selected one dialog turn information. | 0.573244 |
7,847,699 | 1 | 6 | 1. An apparatus of an ubiquitous context-aware agent based on a sensor network, the apparatus comprising: a sensor platform for collecting data of real world and transmitting the collected data to a context-aware agent; the context-aware agent for interpreting and integrating the data of real world from the sensor platform, and storing and managing context information according to the interpreted and integrated data; and a service provider for receiving the context information from the context-aware agent, and automatically performing operations according to the received context information, wherein the context-aware agent includes a context interpreter for receiving the collected data from the sensor platform and interpreting the received data to be viewable to a human and a computer; an integrator for receiving an interpreted context information from the context interpreter and integrating the received context information in a predetermined format; a space manager for receiving the interpreted context information from the context interpreter and detecting users' intention with reference to a relation between a users' movement and static objects in a predetermined space; a home map manager for receiving the interpreted context information from the context interpreter, and displaying current states of a real world to the user using the interpreted context information; a context storage for storing information transferred from the context integrator, the space manager and the home map manager, and outputting the stored information in response to a request; and a context manager for receiving the predetermined format of the integrated context information from the context integrator and managing the context information stored in the context storage. | 1. An apparatus of an ubiquitous context-aware agent based on a sensor network, the apparatus comprising: a sensor platform for collecting data of real world and transmitting the collected data to a context-aware agent; the context-aware agent for interpreting and integrating the data of real world from the sensor platform, and storing and managing context information according to the interpreted and integrated data; and a service provider for receiving the context information from the context-aware agent, and automatically performing operations according to the received context information, wherein the context-aware agent includes a context interpreter for receiving the collected data from the sensor platform and interpreting the received data to be viewable to a human and a computer; an integrator for receiving an interpreted context information from the context interpreter and integrating the received context information in a predetermined format; a space manager for receiving the interpreted context information from the context interpreter and detecting users' intention with reference to a relation between a users' movement and static objects in a predetermined space; a home map manager for receiving the interpreted context information from the context interpreter, and displaying current states of a real world to the user using the interpreted context information; a context storage for storing information transferred from the context integrator, the space manager and the home map manager, and outputting the stored information in response to a request; and a context manager for receiving the predetermined format of the integrated context information from the context integrator and managing the context information stored in the context storage. 6. The apparatus of claim 1 , wherein the context integrator transfers the context information to the service provider when the context information interpreted at the context interpreter is an urgent message. | 0.75 |
8,387,003 | 16 | 19 | 16. A computer readable medium including instructions which when processed by a computer, cause the computer to: receive an input value; determine a hash value for the input value according to a hash function, the hash function being operative to map distinct input values in a distinguished set of input values to distinct hash values in a set of hash values, and further operative to map all input values outside the distinguished set of input values to hash values outside the set of hash values; and compare the hash value for the input value to hash values previously determined for the distinguished set of input values according to the hash function, wherein the hash function includes a perfect hash function in combination with a second hash function, the second hash function being operative to map all input values included in the distinguished set of values to a first value, and further operative to map all input values outside the distinguished set of input values to one or more values different than the first value. | 16. A computer readable medium including instructions which when processed by a computer, cause the computer to: receive an input value; determine a hash value for the input value according to a hash function, the hash function being operative to map distinct input values in a distinguished set of input values to distinct hash values in a set of hash values, and further operative to map all input values outside the distinguished set of input values to hash values outside the set of hash values; and compare the hash value for the input value to hash values previously determined for the distinguished set of input values according to the hash function, wherein the hash function includes a perfect hash function in combination with a second hash function, the second hash function being operative to map all input values included in the distinguished set of values to a first value, and further operative to map all input values outside the distinguished set of input values to one or more values different than the first value. 19. The computer readable medium of claim 16 , wherein the computer readable medium further includes instructions which when processed by a computer, cause the computer to determine each of the hash values by: encoding the input values as a binary decision diagram (BDD) created from a family of sets; and assigning a distinct hash value to each path of the BDD that exclusively encodes an input value. | 0.612717 |
9,286,886 | 41 | 46 | 41. At least one non-transitory computer-readable storage medium encoded with a plurality of computer-executable instructions that, when executed, perform a method comprising: comparing an input text to a data set of text fragments to select a corresponding text fragment for at least a portion of the input text, wherein selecting the corresponding text fragment comprises identifying within the at least a portion of the input text a first sequence of words beginning with a first function word and including one or more words following the first function word, identifying a grammatical type of the first function word beginning the first sequence of words, constraining the identified first sequence of words within the at least a portion of the input text to be matched as a unit to a contiguous sequence of words in a text fragment in the data set, and selecting as the corresponding text fragment a text fragment including as the contiguous sequence of words a second sequence of words beginning with a second function word that is a different word from the first function word but is of the same grammatical type as the first function word, the corresponding text fragment being associated with spoken audio of at least the second sequence of words, wherein the second sequence of words within the corresponding text fragment includes at least one word not present in the first sequence of words within the at least a portion of the input text; determining an alignment of the corresponding text fragment with the at least a portion of the input text; and synthesizing speech from the at least a portion of the input text, wherein the synthesizing comprises extracting prosody from the spoken audio of the second sequence of words, including from the at least one word not present in the first sequence of words, and applying the extracted prosody in synthesizing the speech using the alignment of the corresponding text fragment with the at least a portion of the input text. | 41. At least one non-transitory computer-readable storage medium encoded with a plurality of computer-executable instructions that, when executed, perform a method comprising: comparing an input text to a data set of text fragments to select a corresponding text fragment for at least a portion of the input text, wherein selecting the corresponding text fragment comprises identifying within the at least a portion of the input text a first sequence of words beginning with a first function word and including one or more words following the first function word, identifying a grammatical type of the first function word beginning the first sequence of words, constraining the identified first sequence of words within the at least a portion of the input text to be matched as a unit to a contiguous sequence of words in a text fragment in the data set, and selecting as the corresponding text fragment a text fragment including as the contiguous sequence of words a second sequence of words beginning with a second function word that is a different word from the first function word but is of the same grammatical type as the first function word, the corresponding text fragment being associated with spoken audio of at least the second sequence of words, wherein the second sequence of words within the corresponding text fragment includes at least one word not present in the first sequence of words within the at least a portion of the input text; determining an alignment of the corresponding text fragment with the at least a portion of the input text; and synthesizing speech from the at least a portion of the input text, wherein the synthesizing comprises extracting prosody from the spoken audio of the second sequence of words, including from the at least one word not present in the first sequence of words, and applying the extracted prosody in synthesizing the speech using the alignment of the corresponding text fragment with the at least a portion of the input text. 46. The at least one computer-readable storage medium of claim 41 , wherein the comparing comprises selecting the corresponding text fragment based at least in part on a similarity measure between one or more linguistic features of the at least a portion of the input text and the corresponding text fragment. | 0.724599 |
7,937,409 | 5 | 6 | 5. The method of claim 1 , wherein the physical markup representation is a paginated representation including pages each having a respective physical width and a respective physical height. | 5. The method of claim 1 , wherein the physical markup representation is a paginated representation including pages each having a respective physical width and a respective physical height. 6. The method of claim 5 , wherein the target size includes a target height. | 0.802083 |
8,131,647 | 1 | 11 | 1. A computer-implemented method for providing an annotation of a digital work, comprising: under control of instructions that are executed by one or more computing devices: receiving multiple annotations from different authors for particular content in a digital work; storing the annotations in association with the digital work; providing a list of abbreviated versions of the annotations to a user desiring to access one or more of the annotations, wherein the list presents the annotations in an order determined by reference to a criterion; receiving an authorization credential from a user desiring to access one or more of the annotations; and if the authorization credential is valid, providing a full version of one or more of the annotations of the digital work to the user in context with regard to the digital work. | 1. A computer-implemented method for providing an annotation of a digital work, comprising: under control of instructions that are executed by one or more computing devices: receiving multiple annotations from different authors for particular content in a digital work; storing the annotations in association with the digital work; providing a list of abbreviated versions of the annotations to a user desiring to access one or more of the annotations, wherein the list presents the annotations in an order determined by reference to a criterion; receiving an authorization credential from a user desiring to access one or more of the annotations; and if the authorization credential is valid, providing a full version of one or more of the annotations of the digital work to the user in context with regard to the digital work. 11. The method of claim 1 , wherein the user has obtained the authorization credential in exchange for compensation paid by the user, the method further comprising distributing compensation to the author of an annotation. | 0.533755 |
10,121,165 | 13 | 16 | 13. A method of preparing to deliver promotional content, the method comprising: receiving from a campaign manager a reference to a multimedia item; receiving from the campaign manager promotional content; receiving from the campaign manager a bid to deliver the promotional content in response to an audio query matching the multimedia item; and storing, on a campaign configuration server, a link the promotional content. | 13. A method of preparing to deliver promotional content, the method comprising: receiving from a campaign manager a reference to a multimedia item; receiving from the campaign manager promotional content; receiving from the campaign manager a bid to deliver the promotional content in response to an audio query matching the multimedia item; and storing, on a campaign configuration server, a link the promotional content. 16. The method of claim 13 , further comprising: receiving from the campaign manager the multimedia item; computing a fingerprint of the multimedia item; and storing the fingerprint as an audio reference. | 0.5 |
9,582,766 | 6 | 9 | 6. A system, comprising: a data processing apparatus; and a non-transitory computer readable medium storing instruction executable by the data processing apparatus and that upon such execution cause the data processing apparatus to perform operations comprising: identifying a plurality of refinements R(q) of a first search query q, each refinement rεR(q) being a search query that follows the first query q in a session of queries submitted to a search system; identifying a document set D(r) of each of the refinements r, the document set of a refinement being the documents d that have been presented as search results in response to the refinement by the search system and that have received user selections while being presented as the search results; building a representation of a graph G for the first search query q, wherein the graph G has a node for the first search query q, a node for each of the refinements r, a node for each document din the document sets of the refinements, and an off-topic node for an off-topic state/and wherein the graph G has edges from the first search query node q to each of the refinement nodes r, edges from the first search query node q to each document node of the respective document set D(q) of the first search query q, edges from each refinement node to each document node in the respective document set D(r) of the refinement, and edges from each refinement node to each node for a co-occurring query Q(r) of the refinement and to the off-topic node; building a transition probability matrix P for the graph G that includes first probabilities for each edge (r i , d), second probabilities for each edge (r i , f), and third probabilities for each edge (r i , r j ); calculating a visit probability vector for each refinement in the plurality of refinements R(q) from the transition probability matrix P, where each vector has elements representing a probability for each document in the document set D(q) and the document sets of the refinements R(q); and clustering the refinements into refinement clusters by partitioning the visit probability vectors into proper subsets; and deriving search suggestion for the first search query based on the refinement clusters and providing, to a user device, data that causes the user device to display the search suggestions as search suggestions for the first query. | 6. A system, comprising: a data processing apparatus; and a non-transitory computer readable medium storing instruction executable by the data processing apparatus and that upon such execution cause the data processing apparatus to perform operations comprising: identifying a plurality of refinements R(q) of a first search query q, each refinement rεR(q) being a search query that follows the first query q in a session of queries submitted to a search system; identifying a document set D(r) of each of the refinements r, the document set of a refinement being the documents d that have been presented as search results in response to the refinement by the search system and that have received user selections while being presented as the search results; building a representation of a graph G for the first search query q, wherein the graph G has a node for the first search query q, a node for each of the refinements r, a node for each document din the document sets of the refinements, and an off-topic node for an off-topic state/and wherein the graph G has edges from the first search query node q to each of the refinement nodes r, edges from the first search query node q to each document node of the respective document set D(q) of the first search query q, edges from each refinement node to each document node in the respective document set D(r) of the refinement, and edges from each refinement node to each node for a co-occurring query Q(r) of the refinement and to the off-topic node; building a transition probability matrix P for the graph G that includes first probabilities for each edge (r i , d), second probabilities for each edge (r i , f), and third probabilities for each edge (r i , r j ); calculating a visit probability vector for each refinement in the plurality of refinements R(q) from the transition probability matrix P, where each vector has elements representing a probability for each document in the document set D(q) and the document sets of the refinements R(q); and clustering the refinements into refinement clusters by partitioning the visit probability vectors into proper subsets; and deriving search suggestion for the first search query based on the refinement clusters and providing, to a user device, data that causes the user device to display the search suggestions as search suggestions for the first query. 9. The system of claim 6 , wherein for each edge (r i , r j ): P [ r i , r j ] = ( 1 - ɛ ) × n s ( r i , r j ) ∑ q ′ ∈ Q ( r i ) n s ( r i , q ′ ) where ε is a numerical parameter between 0 and 1. | 0.61194 |
7,703,047 | 3 | 5 | 3. In a computer system including a display and an information display region, a computer-implemented method, the method comprising: providing a movable typing tool approximately the width of the information display region and overlaying a portion of the information display region by aligning the typing tool under a first diagional line of typed text in the information display region by dragging and rotating the typing tool to a diagional orientation, by simultaneously dragging and rotating a stylus, wherein the movable typing tool comprises a writing zone; and responsive to a user inputting handwriting strokes in the writing zone, displaying the handwriting strokes in the writing zone and concurrently displaying text corresponding to the handwriting strokes in the first line of typed text. | 3. In a computer system including a display and an information display region, a computer-implemented method, the method comprising: providing a movable typing tool approximately the width of the information display region and overlaying a portion of the information display region by aligning the typing tool under a first diagional line of typed text in the information display region by dragging and rotating the typing tool to a diagional orientation, by simultaneously dragging and rotating a stylus, wherein the movable typing tool comprises a writing zone; and responsive to a user inputting handwriting strokes in the writing zone, displaying the handwriting strokes in the writing zone and concurrently displaying text corresponding to the handwriting strokes in the first line of typed text. 5. The method of claim 3 wherein the typing tool includes a special character zone proximate to the writing zone, the special character zone including one or more special characters for entry into the first line of typed text when selected by the user. | 0.5 |
8,126,890 | 5 | 8 | 5. The method of claim 1 wherein the decomposing includes constructing the correlations of linked together nodes using an association function and a relation classifier for determining whether a given sentence should be formed into a node. | 5. The method of claim 1 wherein the decomposing includes constructing the correlations of linked together nodes using an association function and a relation classifier for determining whether a given sentence should be formed into a node. 8. The method of claim 5 wherein the relation classifier uses a map of verbs and adverbs to specific cases of relation. | 0.795533 |
8,219,946 | 15 | 16 | 15. A method of generating clock gating circuitry for a circuit design model, comprising: for each one of a plurality of interconnected flop gates in a first netlist of the circuit design model, determining a respective first Boolean expression of input don't toggle (IDT) conditions by performing steps using one or more programmed processors, the steps including: for each flop gate (X) in the transitive fan-in cone of flop gate (Y): determining a respective second Boolean expression of a conjunction of a non-inverting path sensitization from the output of X to the input of Y, a one flop delay of the non-inverting path sensitization from the output of X to the input of Y, and the Boolean expression of the IDT conditions of X; determining a respective third Boolean expression of a conjunction of a non-inverting path sensitization from an inverted output of X to the input of Y, a one flop delay of the non-inverting path sensitization from the inverted output of X to the input of Y, and the Boolean expression of the IDT conditions of X; and determining a disjunction of the respective second Boolean expressions with respective third Boolean expressions and with a non-inverting path sensitization from the output of Y to the input of Y to produce the respective first Boolean expression of the IDT conditions; inverting the respective first Boolean expressions of the IDT conditions of one or more of the plurality of interconnected flop gates to produce respective Boolean expressions of input toggle conditions; generating a second circuit design model implementing the input toggle conditions; and generating a second netlist that incorporates the second circuit design model with the first circuit design model. | 15. A method of generating clock gating circuitry for a circuit design model, comprising: for each one of a plurality of interconnected flop gates in a first netlist of the circuit design model, determining a respective first Boolean expression of input don't toggle (IDT) conditions by performing steps using one or more programmed processors, the steps including: for each flop gate (X) in the transitive fan-in cone of flop gate (Y): determining a respective second Boolean expression of a conjunction of a non-inverting path sensitization from the output of X to the input of Y, a one flop delay of the non-inverting path sensitization from the output of X to the input of Y, and the Boolean expression of the IDT conditions of X; determining a respective third Boolean expression of a conjunction of a non-inverting path sensitization from an inverted output of X to the input of Y, a one flop delay of the non-inverting path sensitization from the inverted output of X to the input of Y, and the Boolean expression of the IDT conditions of X; and determining a disjunction of the respective second Boolean expressions with respective third Boolean expressions and with a non-inverting path sensitization from the output of Y to the input of Y to produce the respective first Boolean expression of the IDT conditions; inverting the respective first Boolean expressions of the IDT conditions of one or more of the plurality of interconnected flop gates to produce respective Boolean expressions of input toggle conditions; generating a second circuit design model implementing the input toggle conditions; and generating a second netlist that incorporates the second circuit design model with the first circuit design model. 16. The method of claim 15 , wherein the non-inverting path sensitization from the output of X to the input of Y is determined by: determining positive and negative co-factors of the path from the output of X to the input of Y; and determining the conjunction of the positive co-factor by an inversion of the negative co-factor. | 0.5 |
9,672,816 | 10 | 12 | 10. The server apparatus of claim 8 , wherein the one or more processors are further configured to select one or more additional ones of the plurality of speech signals as variant pronunciations of the text string. | 10. The server apparatus of claim 8 , wherein the one or more processors are further configured to select one or more additional ones of the plurality of speech signals as variant pronunciations of the text string. 12. The server apparatus of claim 10 , wherein the one or more processors are further configured to provide information to a given user device for a user of the given user device to hear at least one of the one or more variant pronunciations. | 0.5 |
7,848,928 | 10 | 13 | 10. A system of using a speech focus to allocate speech processing resources, the system having a plurality of speech-enabled applications that share speech processing resources of the speech processing system, the plurality of speech-enabled applications gaining access to the speech processing resources only after obtaining the speech focus, the system comprising: at least one processor configured to perform the following steps: establishing a waiting queue adapted to order in priority requests from any of the plurality of speech-enabled applications waiting to obtain the speech focus; establishing a default focus receiver to override at least some default speech behavior of the speech processing system; placing the default focus receiver in the waiting queue at a priority level above the default speech behavior, such that when none of the plurality of speech-enabled applications are requesting the speech focus the default focus receiver obtains the speech focus; detecting a speech processing event occurrence requiring an allocation of at least a portion of the shared speech processing resources; if the waiting queue does not include requests from any of the plurality of speech-enabled applications, determining whether the default focus receiver comprises an event handler having override behavior for occurrence of the speech processing event; performing at least one speech processing action in accordance with machine-readable instructions of the event handler if the event handler is determined to have override behavior for occurrence of the speech processing event occurrence; and performing at least one speech processing action for generating a speech-based system output in accordance with machine-readable instructions defining default speech behavior if the event handler is determined not to have override behavior for occurrence of the speech processing event. | 10. A system of using a speech focus to allocate speech processing resources, the system having a plurality of speech-enabled applications that share speech processing resources of the speech processing system, the plurality of speech-enabled applications gaining access to the speech processing resources only after obtaining the speech focus, the system comprising: at least one processor configured to perform the following steps: establishing a waiting queue adapted to order in priority requests from any of the plurality of speech-enabled applications waiting to obtain the speech focus; establishing a default focus receiver to override at least some default speech behavior of the speech processing system; placing the default focus receiver in the waiting queue at a priority level above the default speech behavior, such that when none of the plurality of speech-enabled applications are requesting the speech focus the default focus receiver obtains the speech focus; detecting a speech processing event occurrence requiring an allocation of at least a portion of the shared speech processing resources; if the waiting queue does not include requests from any of the plurality of speech-enabled applications, determining whether the default focus receiver comprises an event handler having override behavior for occurrence of the speech processing event; performing at least one speech processing action in accordance with machine-readable instructions of the event handler if the event handler is determined to have override behavior for occurrence of the speech processing event occurrence; and performing at least one speech processing action for generating a speech-based system output in accordance with machine-readable instructions defining default speech behavior if the event handler is determined not to have override behavior for occurrence of the speech processing event. 13. The system of claim 10 , wherein the system is an embedded speech processing system, wherein the plurality of speech-enabled applications that compete for the speech focus are stored within read-only-memory of the embedded speech processing system. | 0.5 |
8,892,990 | 1 | 2 | 1. A computer-implemented method for generating a table, the method comprising: receiving a request for generating the table from a user device; retrieving a plurality of form images, each one of the plurality of form images comprising at least one field and a label; generating at least one field image by cropping handwriting strokes associated with the at least one field from each one of the plurality of form images, wherein the at least one field image includes the cropped handwriting strokes; generating a label image by analyzing an area around the at least one field image to identify a group of pixels and cropping the group of pixels from one of the plurality of form images, wherein the label image includes the cropped group of pixels; generating, with one or more processors, the table based on the at least one field image and the label image, the label image representing a column header for a column that includes the at least one field image; and providing the table for display to the user device. | 1. A computer-implemented method for generating a table, the method comprising: receiving a request for generating the table from a user device; retrieving a plurality of form images, each one of the plurality of form images comprising at least one field and a label; generating at least one field image by cropping handwriting strokes associated with the at least one field from each one of the plurality of form images, wherein the at least one field image includes the cropped handwriting strokes; generating a label image by analyzing an area around the at least one field image to identify a group of pixels and cropping the group of pixels from one of the plurality of form images, wherein the label image includes the cropped group of pixels; generating, with one or more processors, the table based on the at least one field image and the label image, the label image representing a column header for a column that includes the at least one field image; and providing the table for display to the user device. 2. The computer-implemented method of claim 1 , wherein the plurality of form images share a common form layout and each of the plurality of form images represent a different set of information. | 0.781038 |
9,967,509 | 1 | 3 | 1. A method for using an interactive media guidance application, the method comprising: receiving a first user input having a common attribute of video content; storing a plurality of media assets including a subset stored based on the common attribute; subsequent to storing the plurality of media assets, receiving a second user input requesting playback of the subset of the plurality of stored media assets having the common attribute of video content; identifying, from the plurality of stored media assets, the subset of the plurality of stored media assets having the common attribute of video content; generating, for simultaneous display, a first list of the plurality of stored media assets, a second list of the subset of the plurality of stored media assets having the common attribute of video content, and an indication of the common attribute corresponding to the second list, wherein the second list of the subset includes all media assets having the common attribute from the first list of the plurality of stored media assets; and automatically selecting for playback the subset of the plurality of stored media assets having the common attribute of video content in response to the second user input. | 1. A method for using an interactive media guidance application, the method comprising: receiving a first user input having a common attribute of video content; storing a plurality of media assets including a subset stored based on the common attribute; subsequent to storing the plurality of media assets, receiving a second user input requesting playback of the subset of the plurality of stored media assets having the common attribute of video content; identifying, from the plurality of stored media assets, the subset of the plurality of stored media assets having the common attribute of video content; generating, for simultaneous display, a first list of the plurality of stored media assets, a second list of the subset of the plurality of stored media assets having the common attribute of video content, and an indication of the common attribute corresponding to the second list, wherein the second list of the subset includes all media assets having the common attribute from the first list of the plurality of stored media assets; and automatically selecting for playback the subset of the plurality of stored media assets having the common attribute of video content in response to the second user input. 3. The method of claim 1 , wherein the attribute is a timeslot or a theme. | 0.877888 |
8,223,152 | 7 | 10 | 7. An animation authoring method for use with an animation authoring apparatus, the method comprising: providing by an editor a storyboard editing screen to edit a storyboard, wherein the storyboard comprises scene information, a screen shot for each cut, and a screenplay, all being displayed on the storyboard at the same time; converting by a rendering machine parsed syntax of a storyboard edited through interaction with a user, into a graphic animation in real time; outputting the graphic animation; and storing a storyboard corresponding to the graphic animation. | 7. An animation authoring method for use with an animation authoring apparatus, the method comprising: providing by an editor a storyboard editing screen to edit a storyboard, wherein the storyboard comprises scene information, a screen shot for each cut, and a screenplay, all being displayed on the storyboard at the same time; converting by a rendering machine parsed syntax of a storyboard edited through interaction with a user, into a graphic animation in real time; outputting the graphic animation; and storing a storyboard corresponding to the graphic animation. 10. The method of claim 7 , further comprising: parsing by a parser syntax of the storyboard edited through the interaction with the user; converting by the rendering engine the edited storyboard into the graphic animation in real time according to the result of the parsing; and outputting the graphic animation through an animation playing display. | 0.5 |
8,326,634 | 6 | 8 | 6. A method for multi-pass speech recognition, comprising: receiving a natural language utterance at an input device; and transcribing the natural language utterance with a multi-pass speech recognition module, wherein transcribing the natural language utterance with the multi-pass speech recognition module includes: using a dictation grammar to transcribe the natural language utterance in response to determining that a platform associated with the multi-pass speech recognition module has the dictation grammar available; or using a virtual dictation grammar to transcribe the natural language utterance in response to determining that the platform associated with the multi-pass speech recognition module does not have the dictation grammar available. | 6. A method for multi-pass speech recognition, comprising: receiving a natural language utterance at an input device; and transcribing the natural language utterance with a multi-pass speech recognition module, wherein transcribing the natural language utterance with the multi-pass speech recognition module includes: using a dictation grammar to transcribe the natural language utterance in response to determining that a platform associated with the multi-pass speech recognition module has the dictation grammar available; or using a virtual dictation grammar to transcribe the natural language utterance in response to determining that the platform associated with the multi-pass speech recognition module does not have the dictation grammar available. 8. The method of claim 6 , further comprising: identifying a context matching a command or request associated with the transcribed natural language utterance: processing the command or request at an agent associated with the identified context, wherein the agent processes the command or request to generate a response to the natural language utterance; and updating a context stack with information associated with the identified context, the generated command or request, or the generated response, wherein the agent updates the context stack with the information associated with the identified context, the generated command or request, or the generated response to enable one or more follow-up commands or requests associated with the identified context, the generated command or request, or the generated response. | 0.5 |
7,574,742 | 17 | 24 | 17. A tangible computer-readable storage medium containing instructions which, when executed by a processor, cause the processor to perform a string matching method, the method comprising: storing a plurality of signature strings in a database; assigning values to characters in the signature strings; calculating differences between the assigned values of the characters in the signature strings; identifying common features of the signature strings using the calculated differences; grouping the signature strings into signature groups according to the common features; receiving an input string into a memory; detecting predetermined features of the input string; comparing the predetermined features of the input string with the common features of one or more of the signature groups; and comparing the input string with one or more individual signature strings in one of the signature groups if the predetermined features of the input string match the common features of the one of the signature groups. | 17. A tangible computer-readable storage medium containing instructions which, when executed by a processor, cause the processor to perform a string matching method, the method comprising: storing a plurality of signature strings in a database; assigning values to characters in the signature strings; calculating differences between the assigned values of the characters in the signature strings; identifying common features of the signature strings using the calculated differences; grouping the signature strings into signature groups according to the common features; receiving an input string into a memory; detecting predetermined features of the input string; comparing the predetermined features of the input string with the common features of one or more of the signature groups; and comparing the input string with one or more individual signature strings in one of the signature groups if the predetermined features of the input string match the common features of the one of the signature groups. 24. The tangible computer-readable storage medium of claim 17 , the method further comprising: purging the input string if the input string matches one of the signature strings. | 0.674632 |
9,753,767 | 1 | 6 | 1. An apparatus comprising a processor and a storage to store instructions that, when executed by the processor, cause the processor to perform operations comprising: retrieve node data, from a node device, wherein the node data is descriptive of at least one characteristic of an execution environment of the node device; generate a current data set model, wherein the current data set model is descriptive of at least one characteristic of a current data set; compare the current data set model to at least one previously generated data set model of at least one previously analyzed data set to detect a match in the at least one characteristic that meets a similarity threshold, wherein the at least one previously generated data set model is descriptive of the at least one characteristic of the at least one previously analyzed data set; in response to detection of a match that meets the similarity threshold between the at least one characteristic described in the current data set model and the at least one characteristic described in the at least one previously generated data set model: retrieve an indication from a correlation database of at least one previously performed action previously performed on the at least one previously analyzed data set, wherein the at least one previously performed action comprises at least one of normalization, a transform or a task performed on the at least one previously analyzed data set; select a computer language based on the node data; generate node instructions, in the selected computer language and based on at least the current data set model, to cause the node device to perform the at least one previously performed action on at least a portion of the current data set; and transmit the node instructions to the node device; in response to detection of a lack of a match that meets the similarity threshold between the at least one characteristic described in the current data set model and the at least one characteristic described in the at least one previously generated data set model, present a request for input indicative of a current action to perform on the current data set, wherein the current action comprises at least one of normalization, a transform or a task to be performed on the current data set; monitor previously performed actions performed on each previously analyzed data set of the at least one previously analyzed data set; for each previously analyzed data set of the at least one previously analyzed data set, store previously generated data set model that corresponds to the previously analyzed data set correlated to an indication of a previously performed action performed on the previously analyzed data set in the correlation database; derive a correlation between the at least one characteristic and the at least one previously performed action from the correlation database; and determine the at least one previously performed action to cause the node device to perform on the current data set based on the correlation. | 1. An apparatus comprising a processor and a storage to store instructions that, when executed by the processor, cause the processor to perform operations comprising: retrieve node data, from a node device, wherein the node data is descriptive of at least one characteristic of an execution environment of the node device; generate a current data set model, wherein the current data set model is descriptive of at least one characteristic of a current data set; compare the current data set model to at least one previously generated data set model of at least one previously analyzed data set to detect a match in the at least one characteristic that meets a similarity threshold, wherein the at least one previously generated data set model is descriptive of the at least one characteristic of the at least one previously analyzed data set; in response to detection of a match that meets the similarity threshold between the at least one characteristic described in the current data set model and the at least one characteristic described in the at least one previously generated data set model: retrieve an indication from a correlation database of at least one previously performed action previously performed on the at least one previously analyzed data set, wherein the at least one previously performed action comprises at least one of normalization, a transform or a task performed on the at least one previously analyzed data set; select a computer language based on the node data; generate node instructions, in the selected computer language and based on at least the current data set model, to cause the node device to perform the at least one previously performed action on at least a portion of the current data set; and transmit the node instructions to the node device; in response to detection of a lack of a match that meets the similarity threshold between the at least one characteristic described in the current data set model and the at least one characteristic described in the at least one previously generated data set model, present a request for input indicative of a current action to perform on the current data set, wherein the current action comprises at least one of normalization, a transform or a task to be performed on the current data set; monitor previously performed actions performed on each previously analyzed data set of the at least one previously analyzed data set; for each previously analyzed data set of the at least one previously analyzed data set, store previously generated data set model that corresponds to the previously analyzed data set correlated to an indication of a previously performed action performed on the previously analyzed data set in the correlation database; derive a correlation between the at least one characteristic and the at least one previously performed action from the correlation database; and determine the at least one previously performed action to cause the node device to perform on the current data set based on the correlation. 6. The apparatus of claim 1 , wherein the node data comprises an indication of at least one of a processor type of the node device, a quantity of storage space within the node device, a type of operating system executed by the node device, a type of language interpreter executed by the node device, or a configuration setting of the node device. | 0.861711 |
8,495,482 | 4 | 5 | 4. The method of claim 1 , wherein the citation information is embedded as an extensible markup language (XML) document in a hypertext markup language (HTML) page. | 4. The method of claim 1 , wherein the citation information is embedded as an extensible markup language (XML) document in a hypertext markup language (HTML) page. 5. The method of claim 4 , wherein the citation information is enciphered at a web server. | 0.5 |
10,049,345 | 1 | 5 | 1. A method comprising: receiving, by a social networking server over a network, information related to a first and second user's intent to utilize a service of a social network provided by the social networking server; the social network comprising user profiles for the first and second user, each profile comprising a first portion of data being specific to the intended service and accessible by other users accessing the user profile, each profile further comprising a second portion of data having features enabling content generation and modifications by an owner user and a visiting user; receiving, at the social networking server over the network, social network interaction information of the second user related to the second portion data of the second user's profile, said social network interaction information comprising information generated by the second user and identification information of the second user; analyzing, via the social networking server, in response to receiving the social interaction information of the second user, user profile information of the first user, and based on said analysis, determining that said second user is within a network of users of the first user within said social network; communicating, via the social networking server over the social network based on the second user being determined to be within the network of users of the first user, the social network interaction information of the second user to the first user, said communication comprising identifying the first user on the social network and transmitting, via the social networking server, said social network interaction information to the first user via the social networking portal, said communication causing the second user social network interaction information to be displayed on a social networking page of the first user in accordance with the first user's second portion data; in response to said communication, receiving, at the social networking server, information generated by the first user respective to the second user social network interaction information displayed on the social networking page of the first user; and communicating, via the social networking server over the social network, upon receiving said first user generated information, information related to the first user generated information to each other user in the network of users of the first user. | 1. A method comprising: receiving, by a social networking server over a network, information related to a first and second user's intent to utilize a service of a social network provided by the social networking server; the social network comprising user profiles for the first and second user, each profile comprising a first portion of data being specific to the intended service and accessible by other users accessing the user profile, each profile further comprising a second portion of data having features enabling content generation and modifications by an owner user and a visiting user; receiving, at the social networking server over the network, social network interaction information of the second user related to the second portion data of the second user's profile, said social network interaction information comprising information generated by the second user and identification information of the second user; analyzing, via the social networking server, in response to receiving the social interaction information of the second user, user profile information of the first user, and based on said analysis, determining that said second user is within a network of users of the first user within said social network; communicating, via the social networking server over the social network based on the second user being determined to be within the network of users of the first user, the social network interaction information of the second user to the first user, said communication comprising identifying the first user on the social network and transmitting, via the social networking server, said social network interaction information to the first user via the social networking portal, said communication causing the second user social network interaction information to be displayed on a social networking page of the first user in accordance with the first user's second portion data; in response to said communication, receiving, at the social networking server, information generated by the first user respective to the second user social network interaction information displayed on the social networking page of the first user; and communicating, via the social networking server over the social network, upon receiving said first user generated information, information related to the first user generated information to each other user in the network of users of the first user. 5. The method of claim 1 , wherein the second user's social network interaction is related to a digital image. | 0.694444 |
9,858,345 | 1 | 3 | 1. A method for processing a query, the method comprising: receiving, by a processor, the query from a user; processing, by the processor, the query to locate a plurality of document in accordance with a search engine having a discriminative classifier, wherein the discriminative classifier is trained with a plurality of artificial multi-label query examples, wherein the artificial multi-label query examples comprise simulated queries automatically generated from terms in the plurality of documents, wherein each of the artificial multi-label query examples further comprises a name and metadata information associated with the name, wherein one of the simulated queries comprises a plurality of the terms selected from the plurality of documents; retraining, by the processor, the discriminative classifier based on an update to at least one the plurality of documents and based on an example derived from a log of previous searches; and presenting, by the processor, a result of the processing to the user. | 1. A method for processing a query, the method comprising: receiving, by a processor, the query from a user; processing, by the processor, the query to locate a plurality of document in accordance with a search engine having a discriminative classifier, wherein the discriminative classifier is trained with a plurality of artificial multi-label query examples, wherein the artificial multi-label query examples comprise simulated queries automatically generated from terms in the plurality of documents, wherein each of the artificial multi-label query examples further comprises a name and metadata information associated with the name, wherein one of the simulated queries comprises a plurality of the terms selected from the plurality of documents; retraining, by the processor, the discriminative classifier based on an update to at least one the plurality of documents and based on an example derived from a log of previous searches; and presenting, by the processor, a result of the processing to the user. 3. The method of claim 1 , wherein the discriminative classifier comprises a support vector machine classifier. | 0.677326 |
8,583,628 | 19 | 26 | 19. A computer-readable memory having stored therein a set of instructions which, when executed by a processor, causes the processor to retrieve information from a database of relationally linked documents by: receiving search parameters from a user; locating an entry point document responsive to said search parameters, the entry point document comprising a root document in a hierarchy of a plurality of related documents; returning a search result including said entry point document and one or more manual relational links and one or more learned relational links between said entry point document and one or more related documents in the plurality of related documents, wherein the manual relational links comprise relational links between documents within the hierarchy manually encoded in the documents and wherein the learned relational links comprise dynamic links between documents within the hierarchy that are not manually encoded in the documents, that are not known at a time of creation of the documents, and that are generated automatically based on text of the documents; initiating one of said learned relational links in response to at least one user link selection; returning the document from the plurality of related documents that corresponds to said learned initiated relational link; updating a connection strength rating to said learned initiated relational link based on the user link selection and indicating navigation of the user through the hierarchy; associating said learned initiated relational link with said search parameters; storing in said database said learned relationally linked documents, said updated connection strength and said learned initiated relational link with said parameters; returning additional documents from the plurality of related documents; and recursively associating initiated relational links with said search parameters, wherein at least one of said returning steps include using a clustering algorithm on the hierarchy of the plurality of related documents. | 19. A computer-readable memory having stored therein a set of instructions which, when executed by a processor, causes the processor to retrieve information from a database of relationally linked documents by: receiving search parameters from a user; locating an entry point document responsive to said search parameters, the entry point document comprising a root document in a hierarchy of a plurality of related documents; returning a search result including said entry point document and one or more manual relational links and one or more learned relational links between said entry point document and one or more related documents in the plurality of related documents, wherein the manual relational links comprise relational links between documents within the hierarchy manually encoded in the documents and wherein the learned relational links comprise dynamic links between documents within the hierarchy that are not manually encoded in the documents, that are not known at a time of creation of the documents, and that are generated automatically based on text of the documents; initiating one of said learned relational links in response to at least one user link selection; returning the document from the plurality of related documents that corresponds to said learned initiated relational link; updating a connection strength rating to said learned initiated relational link based on the user link selection and indicating navigation of the user through the hierarchy; associating said learned initiated relational link with said search parameters; storing in said database said learned relationally linked documents, said updated connection strength and said learned initiated relational link with said parameters; returning additional documents from the plurality of related documents; and recursively associating initiated relational links with said search parameters, wherein at least one of said returning steps include using a clustering algorithm on the hierarchy of the plurality of related documents. 26. The computer-readable memory of claim 19 wherein said search parameters may be absent or alternatively may return all said documents in said database of relationally linked documents. | 0.706897 |
9,690,452 | 9 | 11 | 9. A method of browser functions for accessing and navigating one or more options by a user who is one or more of the following: a novice user, or a user with disabilities, characterized in that the method comprises the following steps; a. initiating a browser session by authenticating the user; b. recognizing an expertise level of the user for the browser session; c. applying a browser plug-in component operable with a browser interface and thereby providing one or more function options selectable by a user for accessing, navigating within, and moving between one or more activity pages to the user, said one or more activity pages including one or more webpages, and generating the one or more function options based upon the expertise level of the user and any disability of the user and thereby presenting said one or more function options in the one or more activity pages that are untransformed to be compatible in format, positioning and availability with the expertise level of the user and a disability accommodation for the user, and said function options including browser functions; and d. the user utilizing the one or more function options to access, and navigate within, and move between the one or more activity pages. | 9. A method of browser functions for accessing and navigating one or more options by a user who is one or more of the following: a novice user, or a user with disabilities, characterized in that the method comprises the following steps; a. initiating a browser session by authenticating the user; b. recognizing an expertise level of the user for the browser session; c. applying a browser plug-in component operable with a browser interface and thereby providing one or more function options selectable by a user for accessing, navigating within, and moving between one or more activity pages to the user, said one or more activity pages including one or more webpages, and generating the one or more function options based upon the expertise level of the user and any disability of the user and thereby presenting said one or more function options in the one or more activity pages that are untransformed to be compatible in format, positioning and availability with the expertise level of the user and a disability accommodation for the user, and said function options including browser functions; and d. the user utilizing the one or more function options to access, and navigate within, and move between the one or more activity pages. 11. The method of claim 9 , characterized in that it comprises the further step of recognizing the expertise level of the user to be varying expertise levels for one or more different sessions. | 0.87831 |
9,665,559 | 1 | 13 | 1. A method of checking electronic text document files containing descriptions of products and/or services on a computing system comprising: defining a plurality of separate target audiences for the electronic text document files using the computing system; wherein said plurality of separate target audiences are associated with a plurality of separate associated undesirable content vocabularies; receiving a plurality of electronic text document files designated to be communicated to said plurality of separate target audiences including a plurality of identified intended recipients; wherein at least two of said plurality of intended recipients are from different ones of said plurality of separate target audiences; providing at least one first electronic filter containing a first set of words corresponding to a first one of said separate associated undesirable content vocabularies for a first target audience; providing at least one second electronic filter containing a second set of words corresponding to a second one of said separate associated undesirable content vocabularies for a second target audience; wherein said first set of words and said second set of words are designated as offensive and/or inappropriate for communication with a corresponding designated first or second target audience respectively for the products and/or services; checking said plurality of electronic text document files for inappropriate content concerning the products and/or services with the computing system using said first and/or second electronic filter prior to initially distributing said plurality of electronic text document files to any designated identified intended recipients; wherein said first and second electronic filters can be invoked selectively by an operator of the computing system on a document-by-document basis, such that a first content in a first electronic text document file is not processed with said electronic filters, and a second content in a second electronic text document file is processed based on both said first electronic filter and said second electronic filters; controlling distribution of said plurality of electronic text document files to corresponding designated target audiences and said plurality of identified intended recipients with the computing system based on checking content with said electronic filters. | 1. A method of checking electronic text document files containing descriptions of products and/or services on a computing system comprising: defining a plurality of separate target audiences for the electronic text document files using the computing system; wherein said plurality of separate target audiences are associated with a plurality of separate associated undesirable content vocabularies; receiving a plurality of electronic text document files designated to be communicated to said plurality of separate target audiences including a plurality of identified intended recipients; wherein at least two of said plurality of intended recipients are from different ones of said plurality of separate target audiences; providing at least one first electronic filter containing a first set of words corresponding to a first one of said separate associated undesirable content vocabularies for a first target audience; providing at least one second electronic filter containing a second set of words corresponding to a second one of said separate associated undesirable content vocabularies for a second target audience; wherein said first set of words and said second set of words are designated as offensive and/or inappropriate for communication with a corresponding designated first or second target audience respectively for the products and/or services; checking said plurality of electronic text document files for inappropriate content concerning the products and/or services with the computing system using said first and/or second electronic filter prior to initially distributing said plurality of electronic text document files to any designated identified intended recipients; wherein said first and second electronic filters can be invoked selectively by an operator of the computing system on a document-by-document basis, such that a first content in a first electronic text document file is not processed with said electronic filters, and a second content in a second electronic text document file is processed based on both said first electronic filter and said second electronic filters; controlling distribution of said plurality of electronic text document files to corresponding designated target audiences and said plurality of identified intended recipients with the computing system based on checking content with said electronic filters. 13. The method of claim 1 , wherein said operator can specify a threshold level of sensitivity to be used during the checking of words in said electronic text document files. | 0.643443 |
6,144,938 | 1 | 15 | 1. An apparatus for a voice user interface with personality, the apparatus comprising: logic that provides a voice user interface, the voice user interface outputting first voice signals, and the voice user interface recognizing speech signals; logic that provides a personality, the logic that provides the personality interfacing with the logic that provides the voice user interface to provide the voice user interface with a verbal personality; and a recognition grammar stored in a memory, the recognition grammar comprising multiple phrases that a virtual assistant with a personality can recognize when spoken by a user, and the recognition grammar being selected based on the personality of the virtual assistant. | 1. An apparatus for a voice user interface with personality, the apparatus comprising: logic that provides a voice user interface, the voice user interface outputting first voice signals, and the voice user interface recognizing speech signals; logic that provides a personality, the logic that provides the personality interfacing with the logic that provides the voice user interface to provide the voice user interface with a verbal personality; and a recognition grammar stored in a memory, the recognition grammar comprising multiple phrases that a virtual assistant with a personality can recognize when spoken by a user, and the recognition grammar being selected based on the personality of the virtual assistant. 15. The apparatus as recited in claim 1 wherein the logic that provides the voice user interface comprises recognizing multiple spoken commands as a predetermined command. | 0.75289 |
9,922,015 | 1 | 3 | 1. A computer implemented method for providing solutions relating to abbreviations, the method comprising: receiving, by a computer system, a message that specifies a recipient and sender and that includes a text body; identifying, by the computer system and from within the text body, a first text portion associated with an abbreviation; retrieving, by the computer system, a profile of the sender and a profile of the recipient, wherein the profile of the sender contains online content exposure information that is generated from a history of the sender's online activities, and the profile of the recipient contains online content exposure information that is generated from a history of the recipients online activities; identifying, by the computer system and based on the profile of the sender, one or more solutions for the first text portion associated with the abbreviation; scoring, by the computer system, each of the one or more solutions using the profiles of the sender and recipient, wherein the scoring includes a first score which reflects the likelihood that the each of the one or more solutions is the abbreviation the sender intended based upon online content exposure information in the profile of the sender, and a second score which reflects the recipient's familiarity with and knowledge of the each of the one or more solutions based upon online content exposure information in the profile of the recipient; identifying, by the computer system and based upon the scoring, a particular solution of the one or more solutions for use, wherein the identifying based upon the scoring by combining the first score and the second score to calculate an overall confidence value that reflects the accuracy of the particular solution; modifying the text body of the message to include the particular solution, wherein the modifying the text body comprises expanding a first instance of the abbreviation and leaving other instances of the abbreviation collapsed, based on the profile of the recipient; and transmitting the message and the confidence value, as modified, to the recipient. | 1. A computer implemented method for providing solutions relating to abbreviations, the method comprising: receiving, by a computer system, a message that specifies a recipient and sender and that includes a text body; identifying, by the computer system and from within the text body, a first text portion associated with an abbreviation; retrieving, by the computer system, a profile of the sender and a profile of the recipient, wherein the profile of the sender contains online content exposure information that is generated from a history of the sender's online activities, and the profile of the recipient contains online content exposure information that is generated from a history of the recipients online activities; identifying, by the computer system and based on the profile of the sender, one or more solutions for the first text portion associated with the abbreviation; scoring, by the computer system, each of the one or more solutions using the profiles of the sender and recipient, wherein the scoring includes a first score which reflects the likelihood that the each of the one or more solutions is the abbreviation the sender intended based upon online content exposure information in the profile of the sender, and a second score which reflects the recipient's familiarity with and knowledge of the each of the one or more solutions based upon online content exposure information in the profile of the recipient; identifying, by the computer system and based upon the scoring, a particular solution of the one or more solutions for use, wherein the identifying based upon the scoring by combining the first score and the second score to calculate an overall confidence value that reflects the accuracy of the particular solution; modifying the text body of the message to include the particular solution, wherein the modifying the text body comprises expanding a first instance of the abbreviation and leaving other instances of the abbreviation collapsed, based on the profile of the recipient; and transmitting the message and the confidence value, as modified, to the recipient. 3. The method in claim 1 , further comprising overriding a modification to another abbreviation based on settings in the recipient's profile. | 0.773312 |
9,152,871 | 12 | 15 | 12. The apparatus of claim 11 , wherein to compute a normalized score in the plurality of normalized scores, the processor is configured to: determine, for each word in the set of the one or more words associated with the corresponding hypothesis, a corresponding word likelihood; and compute the normalized score for the corresponding hypothesis based, in part, on the word likelihoods of the words in the set of the one or more words associated with the corresponding hypothesis. | 12. The apparatus of claim 11 , wherein to compute a normalized score in the plurality of normalized scores, the processor is configured to: determine, for each word in the set of the one or more words associated with the corresponding hypothesis, a corresponding word likelihood; and compute the normalized score for the corresponding hypothesis based, in part, on the word likelihoods of the words in the set of the one or more words associated with the corresponding hypothesis. 15. The apparatus of claim 12 , wherein to determine the word likelihood associated with each word in the set of the one or more words associated with a hypothesis, the processor is configured to: associate, with each word in the set of the one or more words, a corresponding measure of proximity, the measure of proximity being determined relative to words in a dictionary; and determine a likelihood for each word in the set of the one or more words based, in part, on the corresponding measure of proximity. | 0.5 |
7,480,667 | 3 | 4 | 3. The method of claim 2 , wherein the first set of training data comprises anchor text relative to at least some of the documents. | 3. The method of claim 2 , wherein the first set of training data comprises anchor text relative to at least some of the documents. 4. The method of claim 3 , wherein the second set of training data comprises clickthrough data relative to at least some of the documents. | 0.5 |
9,875,298 | 1 | 3 | 1. A computer-implemented method of automated generation of a search query, said method comprising: accessing a first search query; determining that a first portion of said first search query includes a semantic key, wherein said semantic key is associated with at least one semantic sub-key, and wherein said at least one semantic sub-key is a hyponym of said semantic key; responsive to said determining, automatically generating a second search query based on said first search query, wherein said second search query is free of said first portion; performing a first search based on said second search query, wherein first search results generated responsive to said first search comprise a plurality of documents, and wherein each document of said plurality of documents includes at least one respective instance of at least one semantic sub-key associated with said semantic key; performing a second search based on said first search query; accessing second search results generated responsive to said second search; analyzing said first and second search results to automatically determine third search results for output, wherein said third search results are selected from a group consisting of said first search results and said second search results; and responsive to a user input, outputting fourth search results, wherein said fourth search results are different from said third search results, and wherein said fourth search results are selected from a group consisting of said first search results and said second search results wherein said analyzing further comprises determining a ratio of a quantity associated with said first search results to a quantity associated with said second search results, and wherein said analyzing further comprises automatically determining said first search results as said third search results for output if said ratio exceeds a predetermined threshold; outputting said third search results; wherein said analyzing further comprises: determining a first score associated with said first search results; determining a second score associated with said second search results; determining said first search results as said third search results for output if said first score exceeds said second score; and determining said second search results as said third search results for output if said second score exceeds said first score. | 1. A computer-implemented method of automated generation of a search query, said method comprising: accessing a first search query; determining that a first portion of said first search query includes a semantic key, wherein said semantic key is associated with at least one semantic sub-key, and wherein said at least one semantic sub-key is a hyponym of said semantic key; responsive to said determining, automatically generating a second search query based on said first search query, wherein said second search query is free of said first portion; performing a first search based on said second search query, wherein first search results generated responsive to said first search comprise a plurality of documents, and wherein each document of said plurality of documents includes at least one respective instance of at least one semantic sub-key associated with said semantic key; performing a second search based on said first search query; accessing second search results generated responsive to said second search; analyzing said first and second search results to automatically determine third search results for output, wherein said third search results are selected from a group consisting of said first search results and said second search results; and responsive to a user input, outputting fourth search results, wherein said fourth search results are different from said third search results, and wherein said fourth search results are selected from a group consisting of said first search results and said second search results wherein said analyzing further comprises determining a ratio of a quantity associated with said first search results to a quantity associated with said second search results, and wherein said analyzing further comprises automatically determining said first search results as said third search results for output if said ratio exceeds a predetermined threshold; outputting said third search results; wherein said analyzing further comprises: determining a first score associated with said first search results; determining a second score associated with said second search results; determining said first search results as said third search results for output if said first score exceeds said second score; and determining said second search results as said third search results for output if said second score exceeds said first score. 3. The method of claim 1 , wherein said determining said second score further comprises determining said second score based on a parameter selected from a group consisting of: a number of instances in said second search results of at least one semantic sub-key associated with said semantic key; a number of instances in said second search results of at least one keyword of said second search query; at least one proximity associated with a plurality of instances in said second search results of at least one semantic sub-key associated with said semantic key; and at least one proximity associated with a plurality of instances in said second search results of at least one keyword of said second search query. | 0.5 |
9,570,047 | 13 | 14 | 13. A system for providing an interactive area representation on a display device, the system comprising: at least one computer; a display device; the at least one computer being programmed to receive user input from a pointing device, and the at least one computer being programmed to provide on the display device a display that simultaneously comprises: an area representation; a highlighted portion of the area representation indicating a first portion of the area representation that can be positioned on the area representation by the pointing device; outside of the area representation, a magnified representation of the first portion of the area representation represented by the highlighted portion; information about one or more specific items associated with the area representation on the area representation, the magnified representation or both; and outside of the area representation and the magnified representation additional information about at least one specific item of the one or more specific items, wherein the additional information about the at least one specific item includes user-selectable information; wherein in response to user input to the at least one computer with the pointing device to select user-selectable additional information from the additional information about the at least one specific item, the at least one computer being configured to position the highlighted portion on the area representation to indicate a second portion of the area representation corresponding to a location on the area representation related to the selected additional information, display a magnified representation of the second area representation portion represented by the positioned highlighted portion, and display with at least part of the additional information outside the area representation and the magnified representation further information about the at least one specific item, and wherein in response to user input to the at least one computer to the area representation with the pointing device, the at least one computer positioning the highlighted portion on the area representation to indicate a third portion of the area representation, displaying a magnified representation of the third area representation portion indicated by the highlighted portion and displaying outside of the area representation and outside of the magnified representation additional information about at least one specific item indicated on the third area representation portion. | 13. A system for providing an interactive area representation on a display device, the system comprising: at least one computer; a display device; the at least one computer being programmed to receive user input from a pointing device, and the at least one computer being programmed to provide on the display device a display that simultaneously comprises: an area representation; a highlighted portion of the area representation indicating a first portion of the area representation that can be positioned on the area representation by the pointing device; outside of the area representation, a magnified representation of the first portion of the area representation represented by the highlighted portion; information about one or more specific items associated with the area representation on the area representation, the magnified representation or both; and outside of the area representation and the magnified representation additional information about at least one specific item of the one or more specific items, wherein the additional information about the at least one specific item includes user-selectable information; wherein in response to user input to the at least one computer with the pointing device to select user-selectable additional information from the additional information about the at least one specific item, the at least one computer being configured to position the highlighted portion on the area representation to indicate a second portion of the area representation corresponding to a location on the area representation related to the selected additional information, display a magnified representation of the second area representation portion represented by the positioned highlighted portion, and display with at least part of the additional information outside the area representation and the magnified representation further information about the at least one specific item, and wherein in response to user input to the at least one computer to the area representation with the pointing device, the at least one computer positioning the highlighted portion on the area representation to indicate a third portion of the area representation, displaying a magnified representation of the third area representation portion indicated by the highlighted portion and displaying outside of the area representation and outside of the magnified representation additional information about at least one specific item indicated on the third area representation portion. 14. The system of claim 13 , wherein the information about the one or more items associated with the area representation on the area representation, on the magnified representation or both includes graphical information. | 0.699454 |
9,047,337 | 15 | 21 | 15. A system, comprising: a processor; and a memory containing an integrated development environment (IDE) tool configured to provide database connectivity within the IDE tool by performing an operation, comprising: displaying a portion of source code in an editing pane of the IDE tool, wherein the portion of the source code includes at least a text string representing a database statement, determining a database to be accessed using the database statement, establishing a database connection between the IDE tool and the database, retrieving a data model associated with the database, upon determining the database statement includes one or more host variables passing data to the database, prompting for a value for each host variable, evaluating, based on the data model, the database statement to identify any errors in the database statement, wherein evaluating the database statement includes executing the database statement and providing an option to commit or rollback one or more database changes made as a result of executing the database statement, providing programming assistance based on the database statement and the data model, including providing an indication of any errors by the evaluation, and storing, by the IDE tool, the value provided for each host variable to allow the database statement to be re-executed from within the IDE tool without again prompting for values for the host variables. | 15. A system, comprising: a processor; and a memory containing an integrated development environment (IDE) tool configured to provide database connectivity within the IDE tool by performing an operation, comprising: displaying a portion of source code in an editing pane of the IDE tool, wherein the portion of the source code includes at least a text string representing a database statement, determining a database to be accessed using the database statement, establishing a database connection between the IDE tool and the database, retrieving a data model associated with the database, upon determining the database statement includes one or more host variables passing data to the database, prompting for a value for each host variable, evaluating, based on the data model, the database statement to identify any errors in the database statement, wherein evaluating the database statement includes executing the database statement and providing an option to commit or rollback one or more database changes made as a result of executing the database statement, providing programming assistance based on the database statement and the data model, including providing an indication of any errors by the evaluation, and storing, by the IDE tool, the value provided for each host variable to allow the database statement to be re-executed from within the IDE tool without again prompting for values for the host variables. 21. The system of claim 15 , wherein the IDE tool provides a programming environment used to develop a database-aware application, and wherein the IDE tool includes at least a graphical text editor and a compiler. | 0.688596 |
9,727,619 | 11 | 19 | 11. A method comprising: receiving, by a computing device, an input data set comprising a document; determining, by the computing device, at least one focus in the input data set, wherein the focus is at least one of a grammatical part of speech or a functional descriptor, and the focus is a portion of the input data set less than the input data set; forming, by the computing device, a term unit matrix from the input data set, the term unit matrix comprising a plurality of numeric integer values, the plurality of numeric integer values corresponding to a plurality of term units of the input data set, wherein the plurality of numeric integer values is a substantially lossless representation of the input data set; filtering, by the computing device, the plurality of term units by removing one or more term units from the plurality of term units based on the focus; forming, by the computing device, a group of combinations of term units that remain after filtering and that are based on an underlying grammatical rule of the input data set, wherein for each term unit of the group of combinations of term units, the underlying grammatical rule is numerically encoded in respective numeric integer values of the group of combinations of term units; identifying, by the computing device, at least one root term unit of the group of combinations of term units that remain after filtering, the at least one root term unit having a plurality of tail term units associated therewith; searching, by the computing device, a data repository that is different from the input data set using the at least one root term unit and the plurality of tail term units; organizing, by the computing device, search results based on the focus indicating presence of the at least one root term unit; and providing, by the computing device, the organized search results. | 11. A method comprising: receiving, by a computing device, an input data set comprising a document; determining, by the computing device, at least one focus in the input data set, wherein the focus is at least one of a grammatical part of speech or a functional descriptor, and the focus is a portion of the input data set less than the input data set; forming, by the computing device, a term unit matrix from the input data set, the term unit matrix comprising a plurality of numeric integer values, the plurality of numeric integer values corresponding to a plurality of term units of the input data set, wherein the plurality of numeric integer values is a substantially lossless representation of the input data set; filtering, by the computing device, the plurality of term units by removing one or more term units from the plurality of term units based on the focus; forming, by the computing device, a group of combinations of term units that remain after filtering and that are based on an underlying grammatical rule of the input data set, wherein for each term unit of the group of combinations of term units, the underlying grammatical rule is numerically encoded in respective numeric integer values of the group of combinations of term units; identifying, by the computing device, at least one root term unit of the group of combinations of term units that remain after filtering, the at least one root term unit having a plurality of tail term units associated therewith; searching, by the computing device, a data repository that is different from the input data set using the at least one root term unit and the plurality of tail term units; organizing, by the computing device, search results based on the focus indicating presence of the at least one root term unit; and providing, by the computing device, the organized search results. 19. The method of claim 11 , wherein the computing device comprises at least one of a computer, a laptop computer, a personal computer, a personal data assistant, a camera, a phone, a cell phone, mobile phone, a computer server, a media server, a music player, a game box, a smart phone, a data storage device, a measuring device, a handheld scanner, a scanning device, a barcode reader, a point-of-sale device, a digital assistant, a desk phone, an IP phone, a solid-state memory device, a tablet, or a memory card. | 0.5 |
7,478,142 | 1 | 10 | 1. A method for executing an application, the method comprising: loading a first package within a browser on a local client computer, the first package including a first manifest and a first archive of files that includes instructions and content needed to execute an application, the first archive of files including: an initial file that includes instructions for initiating execution of the application, the initial file being a markup language file, other files needed to execute the application, and a second package that includes a second manifest and a second archive of files, the second package being of the same type as the first package, and the second archive of files being of the same type of file structure as the first archive of files; the first manifest including an initial file identifier that indicates that the initial file is to be processed before the other files in the first archive of files when the application is executed; in response to loading the first package within the browser, automatically accessing the first manifest; locating the initial file identifier in the first manifest; based on the located initial file identifier, accessing the instructions for initiating the execution of the application from the initial file; processing the accessed instructions from the initial file; and automatically initiating execution of the application based on the processed instructions. | 1. A method for executing an application, the method comprising: loading a first package within a browser on a local client computer, the first package including a first manifest and a first archive of files that includes instructions and content needed to execute an application, the first archive of files including: an initial file that includes instructions for initiating execution of the application, the initial file being a markup language file, other files needed to execute the application, and a second package that includes a second manifest and a second archive of files, the second package being of the same type as the first package, and the second archive of files being of the same type of file structure as the first archive of files; the first manifest including an initial file identifier that indicates that the initial file is to be processed before the other files in the first archive of files when the application is executed; in response to loading the first package within the browser, automatically accessing the first manifest; locating the initial file identifier in the first manifest; based on the located initial file identifier, accessing the instructions for initiating the execution of the application from the initial file; processing the accessed instructions from the initial file; and automatically initiating execution of the application based on the processed instructions. 10. The method of claim 1 , further comprising displaying an icon associated with the application, wherein loading the first package in the browser comprises automatically loading the first package in the browser in response to a user selecting the icon associated with the application. | 0.746454 |
8,838,582 | 1 | 11 | 1. A machine implemented method comprising: receiving a first user input comprising a search query; displaying, by a data processing system, in a search interface accessible across a plurality of computer application programs, a plurality of results from a search performed across files and programs accessible by the data processing system, wherein the plurality of results matches the search query and are categorized into a plurality of categories, only a first subset of the plurality of results are displayed for each of the plurality of categories, and the results in the first subset are displayed grouped together in proximity to a displayed representation of a corresponding category; receiving a second user input comprising a selection of one of the displayed representations of the plurality of categories; and in response to the second user input, displaying, in the search interface, a second subset of the plurality of results, wherein the second subset matches the search query and is categorized into a plurality of subcategories of the selected category, and the results categorized into each subcategory is displayed grouped together in proximity to a displayed representation of a corresponding subcategory. | 1. A machine implemented method comprising: receiving a first user input comprising a search query; displaying, by a data processing system, in a search interface accessible across a plurality of computer application programs, a plurality of results from a search performed across files and programs accessible by the data processing system, wherein the plurality of results matches the search query and are categorized into a plurality of categories, only a first subset of the plurality of results are displayed for each of the plurality of categories, and the results in the first subset are displayed grouped together in proximity to a displayed representation of a corresponding category; receiving a second user input comprising a selection of one of the displayed representations of the plurality of categories; and in response to the second user input, displaying, in the search interface, a second subset of the plurality of results, wherein the second subset matches the search query and is categorized into a plurality of subcategories of the selected category, and the results categorized into each subcategory is displayed grouped together in proximity to a displayed representation of a corresponding subcategory. 11. The method of claim 1 , wherein the subcategories are determined automatically based on attributes of the second subset of the plurality of results. | 0.736111 |
9,479,646 | 18 | 20 | 18. A method for accessing voicemail messages executed on a mobile device, the method comprising: receiving a voicemail message generated from a call; displaying a text transcription of the voicemail message, wherein unrecognized voicemail speech is displayed differently than recognized voicemail speech in the text transcription; and playing an audio recording of the voicemail message upon receiving a selection of a play control. | 18. A method for accessing voicemail messages executed on a mobile device, the method comprising: receiving a voicemail message generated from a call; displaying a text transcription of the voicemail message, wherein unrecognized voicemail speech is displayed differently than recognized voicemail speech in the text transcription; and playing an audio recording of the voicemail message upon receiving a selection of a play control. 20. The method of claim 18 , wherein displaying the text corresponding to unrecognized voicemail speech differently comprises modifying one or more of a font, a color or a size of the text. | 0.5 |
8,346,608 | 15 | 16 | 15. A tangible computer readable medium having instructions stored thereon, the instructions configured for execution by a computing system having one or more hardware processors in order to perform operations comprising: accessing one or more electronic transmissions transmitted from a client computing device or ready for transmission from the client computing device; for respective electronic transmissions of the one or more electronic transmissions: scanning content of the respective electronic transmission to identify one or more keywords included in an advertising data structure; selecting one or more advertisements for insertion into the respective electronic transmission based on relationships stored in the advertising data structure, wherein the stored relationships indicate associations between the identified one or more keywords in the respective electronic transmission and the one or more advertisements; inserting the selected one or more advertisements into the respective electronic transmission, wherein inserting the selected one or more advertisements comprises changing at least one display characteristic of one or more words already included in a message body or subject line of the respective electronic transmission; and initiating transmission of the respective electronic transmission to one or more intended recipients. | 15. A tangible computer readable medium having instructions stored thereon, the instructions configured for execution by a computing system having one or more hardware processors in order to perform operations comprising: accessing one or more electronic transmissions transmitted from a client computing device or ready for transmission from the client computing device; for respective electronic transmissions of the one or more electronic transmissions: scanning content of the respective electronic transmission to identify one or more keywords included in an advertising data structure; selecting one or more advertisements for insertion into the respective electronic transmission based on relationships stored in the advertising data structure, wherein the stored relationships indicate associations between the identified one or more keywords in the respective electronic transmission and the one or more advertisements; inserting the selected one or more advertisements into the respective electronic transmission, wherein inserting the selected one or more advertisements comprises changing at least one display characteristic of one or more words already included in a message body or subject line of the respective electronic transmission; and initiating transmission of the respective electronic transmission to one or more intended recipients. 16. The tangible computer readable medium of claim 15 , wherein said changing at least one display characteristic comprises one or more of changing a text color of the one or more words or underlining the one or more words. | 0.5 |
8,594,996 | 1 | 15 | 1. A computer-implemented method for disambiguating one or more entities in an indicated text segment, comprising: processing the indicated text segment to determine a plurality of terms and their associated parts-of-speech tags and grammatical roles; performing linguistic analysis of the processed text segment to determine one or more potential entities which are referred to in the text segment by potential entity names; generating and storing, for each potential entity, an entity profile data structure storing one or more associated properties that characterize the entity based upon surrounding context and linguistic information, the surrounding context and linguistic information retrieved from the performed linguistic analysis of the processed text segment, by: retrieving, from the linguistic analysis of the processed text segment, actions and/or modifiers associated with the determined potential entity name, the actions and/or modifiers appearing in the context surrounding the potential entity names in the indicated text segment; determining one or more roles that are attributable to the potential entity based upon the retrieved actions and/or modifiers associated with the determined potential entity names; and storing, in the entity profile data structure as part of the properties associated with the potential entity, the determined one or more roles; and disambiguating which entities are being referred to in the indicated text segment by determining one or more most likely entities that are referred to in the text segment by comparing, using both linguistic and contextual information, the entity profiles generated for each potential entity with attributes of one or more candidate entities, including a comparison of the determined one or more roles stored in the profile generated for each potential entity with the one or more roles of each of the candidate entities. | 1. A computer-implemented method for disambiguating one or more entities in an indicated text segment, comprising: processing the indicated text segment to determine a plurality of terms and their associated parts-of-speech tags and grammatical roles; performing linguistic analysis of the processed text segment to determine one or more potential entities which are referred to in the text segment by potential entity names; generating and storing, for each potential entity, an entity profile data structure storing one or more associated properties that characterize the entity based upon surrounding context and linguistic information, the surrounding context and linguistic information retrieved from the performed linguistic analysis of the processed text segment, by: retrieving, from the linguistic analysis of the processed text segment, actions and/or modifiers associated with the determined potential entity name, the actions and/or modifiers appearing in the context surrounding the potential entity names in the indicated text segment; determining one or more roles that are attributable to the potential entity based upon the retrieved actions and/or modifiers associated with the determined potential entity names; and storing, in the entity profile data structure as part of the properties associated with the potential entity, the determined one or more roles; and disambiguating which entities are being referred to in the indicated text segment by determining one or more most likely entities that are referred to in the text segment by comparing, using both linguistic and contextual information, the entity profiles generated for each potential entity with attributes of one or more candidate entities, including a comparison of the determined one or more roles stored in the profile generated for each potential entity with the one or more roles of each of the candidate entities. 15. The method of claim 1 , further comprising: invoking the method to annotate information on a web page. | 0.932826 |
8,819,055 | 1 | 4 | 1. A system for managing a logical people group (LPG), comprising: a computer, including a computer memory and processor; a user directory which includes a first plurality of attribute values for each of a plurality of users and the user directory maps the plurality of users to a plurality of groups; an attribute directory, separate from the user directory, which includes a second plurality of attribute values for each of the plurality of users, which second plurality of attribute values are not recorded in said user directory and the attribute directory maps a plurality of business attributes to the plurality of users; a security layer, separate from the user directory and attribute directory, which includes a third plurality of attribute values for each of the plurality of users, which third plurality of attribute values are not recorded in said user directory or attribute directory and the security layer includes a plurality of roles, wherein each role is associated with an application and includes one or more users from the plurality of users; a query module including a query cache executing on the computer, operable to receive a complex query wherein the complex query includes a first parameter operable on the first plurality of attribute values, a second defined parameter operable on the second plurality of attribute values, and a third parameter operable on the third plurality of attribute values; wherein, in response to the complex query, the query module, searches the user directory and identifies a first subset of the plurality users having attribute values satisfying the first parameter, searches the attribute directory and identifies a second subset of the plurality of users having attribute values satisfying the second parameter, searches the security layer and identifies a third subset of the plurality users having attribute values satisfying the third parameter, compares the first subset, the second subset, and the third subset, returns an LPG comprising a logical group of a plurality of users present in all of the first subset, the second subset, and the third subset, wherein the LPG is defined by the complex query, and stores the LPG in a query cache which stores, for a user-definable period, LPGs based on previously received complex queries. | 1. A system for managing a logical people group (LPG), comprising: a computer, including a computer memory and processor; a user directory which includes a first plurality of attribute values for each of a plurality of users and the user directory maps the plurality of users to a plurality of groups; an attribute directory, separate from the user directory, which includes a second plurality of attribute values for each of the plurality of users, which second plurality of attribute values are not recorded in said user directory and the attribute directory maps a plurality of business attributes to the plurality of users; a security layer, separate from the user directory and attribute directory, which includes a third plurality of attribute values for each of the plurality of users, which third plurality of attribute values are not recorded in said user directory or attribute directory and the security layer includes a plurality of roles, wherein each role is associated with an application and includes one or more users from the plurality of users; a query module including a query cache executing on the computer, operable to receive a complex query wherein the complex query includes a first parameter operable on the first plurality of attribute values, a second defined parameter operable on the second plurality of attribute values, and a third parameter operable on the third plurality of attribute values; wherein, in response to the complex query, the query module, searches the user directory and identifies a first subset of the plurality users having attribute values satisfying the first parameter, searches the attribute directory and identifies a second subset of the plurality of users having attribute values satisfying the second parameter, searches the security layer and identifies a third subset of the plurality users having attribute values satisfying the third parameter, compares the first subset, the second subset, and the third subset, returns an LPG comprising a logical group of a plurality of users present in all of the first subset, the second subset, and the third subset, wherein the LPG is defined by the complex query, and stores the LPG in a query cache which stores, for a user-definable period, LPGs based on previously received complex queries. 4. The system of claim 1 wherein a complex query comprises: at least one parameter to be evaluated at execution; and at least one statically defined parameter. | 0.5 |
7,711,676 | 24 | 27 | 24. The method of claim 22 further comprising translating the first electronic document into the format corresponding to the business communication schema from a different communication schema format. | 24. The method of claim 22 further comprising translating the first electronic document into the format corresponding to the business communication schema from a different communication schema format. 27. The method of claim 24 further comprising using the counter in selecting business data elements for translating electronic documents. | 0.879401 |
7,933,773 | 1 | 3 | 1. A natural language understanding monitoring system for identifying a particular task that a user wishes to have performed from among a predetermined set of tasks, the natural language understanding monitoring system including at least a speech recognizer, and the natural language understanding monitoring system being adapted to a) conduct an automated dialog with the user, and b) if the system is unable to identify from the automated dialog conducted in (a) any one of the predetermined tasks as being the particular task to at least a predetermined level of confidence, i) make a determination of the value of a probability that further automated dialog will enable the system to identify the particular task, and ii) determine whether or not to conduct further automated dialog with the user, in an attempt to identify the particular task, based on the relative values of the probability determined in (i) and a predetermined threshold value iii) said probability value determination being based on inputs from the user during the automated dialog conducted in (a), wherein at least one of a) and b) are carried out by the system using a programmed processor. | 1. A natural language understanding monitoring system for identifying a particular task that a user wishes to have performed from among a predetermined set of tasks, the natural language understanding monitoring system including at least a speech recognizer, and the natural language understanding monitoring system being adapted to a) conduct an automated dialog with the user, and b) if the system is unable to identify from the automated dialog conducted in (a) any one of the predetermined tasks as being the particular task to at least a predetermined level of confidence, i) make a determination of the value of a probability that further automated dialog will enable the system to identify the particular task, and ii) determine whether or not to conduct further automated dialog with the user, in an attempt to identify the particular task, based on the relative values of the probability determined in (i) and a predetermined threshold value iii) said probability value determination being based on inputs from the user during the automated dialog conducted in (a), wherein at least one of a) and b) are carried out by the system using a programmed processor. 3. The natural language understanding monitoring system of claim 1 wherein said probability is a function of at least a particular machine output during said automated dialog conducted in (a) and an input communication from the user in response to that machine output. | 0.588957 |
8,681,098 | 26 | 27 | 26. The system of claim 1 , wherein the gesture engine comprises a plurality of recognizers, wherein each recognizer comprises a gesture description. | 26. The system of claim 1 , wherein the gesture engine comprises a plurality of recognizers, wherein each recognizer comprises a gesture description. 27. The system of claim 26 , wherein the gesture engine performs a plurality of operations on the plurality of recognizers, wherein the plurality of operations comprise ranking recognizers. | 0.515385 |
9,858,258 | 1 | 3 | 1. A data processing method comprising: receiving, at a server computer, an electronic document comprising a plurality of unknown-language data elements each associated with one or more types; based on a document schema of the document, selecting one or more unknown-language data elements from the plurality of unknown-language data elements; assigning to each of the one or more unknown-language data elements a corresponding weight value based on a respective type of the unknown-language data element; comparing the one or more unknown-language data elements with a plurality of known-language data elements that are associated with the document schema; based on the comparing, determining a number of unknown-language data elements in the one or more unknown-language data elements that matched any in a subset of the plurality of known-language data elements, wherein the subset of known-language data elements corresponds to a particular language; based on the number of unknown-language data elements in the one or more unknown-language data elements that matched to the subset of known-language data elements and based on the corresponding weight value assigned to each unknown-language data element in the number of unknown-language data elements, determining a language confidence level value specifying a level of machine confidence that the document is expressed in the particular language; based on the language confidence level value for the particular language exceeding a language threshold value, automatically processing the document using the particular language. | 1. A data processing method comprising: receiving, at a server computer, an electronic document comprising a plurality of unknown-language data elements each associated with one or more types; based on a document schema of the document, selecting one or more unknown-language data elements from the plurality of unknown-language data elements; assigning to each of the one or more unknown-language data elements a corresponding weight value based on a respective type of the unknown-language data element; comparing the one or more unknown-language data elements with a plurality of known-language data elements that are associated with the document schema; based on the comparing, determining a number of unknown-language data elements in the one or more unknown-language data elements that matched any in a subset of the plurality of known-language data elements, wherein the subset of known-language data elements corresponds to a particular language; based on the number of unknown-language data elements in the one or more unknown-language data elements that matched to the subset of known-language data elements and based on the corresponding weight value assigned to each unknown-language data element in the number of unknown-language data elements, determining a language confidence level value specifying a level of machine confidence that the document is expressed in the particular language; based on the language confidence level value for the particular language exceeding a language threshold value, automatically processing the document using the particular language. 3. The method of claim 1 , wherein the respective type of the unknown-language data element is a data field name of the unknown-language data element or a data value of the unknown-language data element of the document. | 0.83509 |
8,504,567 | 14 | 18 | 14. One or more non-transitory computer-readable media storing instructions which, when executed by one or more computing devices, cause performance of a method comprising: obtaining a set of title components for a document; wherein each title component in the set of title components is a text string; classifying each title component of the set of title components into at least one title component class of a plurality of title component classes; selecting a title template from among a plurality of available title templates; wherein the selected title template has one or more title component slots; wherein each title component slot of the one or more title component slots corresponds to one title component class of the plurality of title component classes; generating a candidate title for the document including completing each title component slot of the selected title template with a title component selected from the title component class corresponding to that title component slot; wherein the generated candidate title is a text string having, as sub-text strings, the title components selected to complete the selected title template; selecting the candidate title as a title for the document. | 14. One or more non-transitory computer-readable media storing instructions which, when executed by one or more computing devices, cause performance of a method comprising: obtaining a set of title components for a document; wherein each title component in the set of title components is a text string; classifying each title component of the set of title components into at least one title component class of a plurality of title component classes; selecting a title template from among a plurality of available title templates; wherein the selected title template has one or more title component slots; wherein each title component slot of the one or more title component slots corresponds to one title component class of the plurality of title component classes; generating a candidate title for the document including completing each title component slot of the selected title template with a title component selected from the title component class corresponding to that title component slot; wherein the generated candidate title is a text string having, as sub-text strings, the title components selected to complete the selected title template; selecting the candidate title as a title for the document. 18. The one or more non-transitory computer-readable media of claim 14 , wherein selecting the candidate title as a title for the document includes: generating a score for the candidate title based on at least one of: a query submitted from a client, or one or more presentation constraints associated with the client, and selecting the candidate title as a title for the document, from among a plurality of candidate titles that includes the candidate title, based on the generated score. | 0.743442 |
9,858,348 | 10 | 12 | 10. A non-transitory computer-readable storage medium tangibly encoded with computer-executable instructions, that when executed by a computing device, perform a method comprising: generating a database that stores associations between each of a plurality of media objects and temporal, social or topical data including, wherein the database includes relationships between specific media objects and metadata sources associated with a specific media object, user profile data, social network data and interaction data; receiving a request, from a requesting device associated with a user, for media; parsing the request to identify at least two of social criteria, topical criteria, or temporal criteria included in the request, the social criteria describing one or more people or types of people associated with the requested media, the topical criteria describing one or more topics associated with the requested media, and the temporal criteria describing a past time period associated with the requested media; when the request includes social criteria, determining media associated with the one or more people or types of people defined by the social criteria based on the association; when the request includes topical criteria, identifying topics associated with the request and determining media associated with the identified topics based on the association; when the request includes temporal criteria, identifying a time associated with the request and determining media associated with the identified time based on the association; locating a plurality of media files that each match the at least two of social criteria, topical criteria, or temporal criteria included in the request based on the determined media associated with the one or more people or types of people, media associated with the identified topics, or media associated with the identified time; and transmitting the plurality of media files over the network to the requesting device. | 10. A non-transitory computer-readable storage medium tangibly encoded with computer-executable instructions, that when executed by a computing device, perform a method comprising: generating a database that stores associations between each of a plurality of media objects and temporal, social or topical data including, wherein the database includes relationships between specific media objects and metadata sources associated with a specific media object, user profile data, social network data and interaction data; receiving a request, from a requesting device associated with a user, for media; parsing the request to identify at least two of social criteria, topical criteria, or temporal criteria included in the request, the social criteria describing one or more people or types of people associated with the requested media, the topical criteria describing one or more topics associated with the requested media, and the temporal criteria describing a past time period associated with the requested media; when the request includes social criteria, determining media associated with the one or more people or types of people defined by the social criteria based on the association; when the request includes topical criteria, identifying topics associated with the request and determining media associated with the identified topics based on the association; when the request includes temporal criteria, identifying a time associated with the request and determining media associated with the identified time based on the association; locating a plurality of media files that each match the at least two of social criteria, topical criteria, or temporal criteria included in the request based on the determined media associated with the one or more people or types of people, media associated with the identified topics, or media associated with the identified time; and transmitting the plurality of media files over the network to the requesting device. 12. The non-transitory computer-readable storage medium of claim 10 wherein the request for media related to a context has a trigger condition and the request is not processed until the trigger condition occurs, wherein the trigger condition is selected from the group consisting of a time, a date, a calendar event, the presence of the requesting device in a physical location, display of an advertisement on the requesting device, selection of an advertisement on the requesting device. | 0.5 |
9,153,233 | 11 | 12 | 11. The method of claim 8 , where the media file is stored in the MP3 format and the first phonetic information and the second phonetic information is stored in a tagging part of the media file. | 11. The method of claim 8 , where the media file is stored in the MP3 format and the first phonetic information and the second phonetic information is stored in a tagging part of the media file. 12. The method of claim 11 , where the tagging part of the media file comprises an ID3 tag. | 0.5 |
9,761,225 | 4 | 5 | 4. The method of claim 3 , comprising: determining, by the at least one processor and based on a number of sets of NLU interpretations types classified as corresponding to the first set of NLU interpretations type, to generate the first specialized NLU interpretation selection model; and determining, by the at least one processor and based on a number of sets of NLU interpretations types classified as corresponding to the second set of NLU interpretations type, to generate the second specialized NLU interpretation selection model. | 4. The method of claim 3 , comprising: determining, by the at least one processor and based on a number of sets of NLU interpretations types classified as corresponding to the first set of NLU interpretations type, to generate the first specialized NLU interpretation selection model; and determining, by the at least one processor and based on a number of sets of NLU interpretations types classified as corresponding to the second set of NLU interpretations type, to generate the second specialized NLU interpretation selection model. 5. The method of claim 4 , comprising: responsive to determining to generate the first specialized NLU interpretation selection model, generating the first specialized NLU interpretation selection model, wherein generating the first specialized NLU interpretation selection model comprises executing, by the at least one processor, a machine learning algorithm on a dataset comprising natural language input data that includes the group of sets of NLU interpretations types classified as corresponding to the first set of NLU interpretations type, does not include the group of sets of NLU interpretations types classified as corresponding to the second set of NLU interpretations type, and does not include the multiple groups of sets of NLU interpretations types classified as corresponding to sets of NLU interpretations types different from both the first set of NLU interpretations type and the second set of NLU interpretations type; and responsive to determining to generate the second specialized NLU interpretation selection model, generating the second specialized NLU interpretation selection model, wherein generating the second specialized NLU interpretation selection model comprises executing, by the at least one processor, the machine learning algorithm on a dataset comprising natural language input data that includes the group of sets of NLU interpretations types classified as corresponding to the second set of NLU interpretations type, does not include the group of sets of NLU interpretations types classified as corresponding to the first set of NLU interpretations type, and does not include the multiple groups of sets of NLU interpretations types classified as corresponding to sets of NLU interpretations types different from both the first set of NLU interpretations type and the second set of NLU interpretations type. | 0.5 |
4,387,364 | 18 | 20 | 18. Apparatus for reducing DC components in a digital information signal to be recorded and comprised of a plurality of N-bit data words by converting said N-bit data words to respective M-bit data words at least some of which are assigned thereto in accordance with the generation frequency of said N-bit data words and the run length of data of said M-bit data words, comprising: output means for receiving said M-bit data words; memory means for storing said M-bit data words either in the actual or inverted form thereof and which are read therefrom in response to said N-bit data words; each of said M-bit data words being comprised of a plurality of logic level "1" bits and logic level "0" bits and being stored in said memory means with the number of said "1" bits being greater than or equal to the number of said "0" bits; transmitting means connected with said memory means for transmitting said stored M-bit data words read from said memory means to said output means; inverting means connected with said memory means for inverting said stored M-bit data words read from said memory means and supplying said inverted M-bit data words to said output means; and gate means selectively enabling one of said transmitting means and inverting means to supply said transmitted M-bit data words and said inverted M-bit data words, respectively, to said output means, said transmitting means being enabled whenever an M-bit data word read from said memory means has an equal number of said "1" and "0" bits and said transmitting means and inverting means being alternately enabled when M-bit data words successively read from said memory means have unequal numbers of said "1" and "0" bits. | 18. Apparatus for reducing DC components in a digital information signal to be recorded and comprised of a plurality of N-bit data words by converting said N-bit data words to respective M-bit data words at least some of which are assigned thereto in accordance with the generation frequency of said N-bit data words and the run length of data of said M-bit data words, comprising: output means for receiving said M-bit data words; memory means for storing said M-bit data words either in the actual or inverted form thereof and which are read therefrom in response to said N-bit data words; each of said M-bit data words being comprised of a plurality of logic level "1" bits and logic level "0" bits and being stored in said memory means with the number of said "1" bits being greater than or equal to the number of said "0" bits; transmitting means connected with said memory means for transmitting said stored M-bit data words read from said memory means to said output means; inverting means connected with said memory means for inverting said stored M-bit data words read from said memory means and supplying said inverted M-bit data words to said output means; and gate means selectively enabling one of said transmitting means and inverting means to supply said transmitted M-bit data words and said inverted M-bit data words, respectively, to said output means, said transmitting means being enabled whenever an M-bit data word read from said memory means has an equal number of said "1" and "0" bits and said transmitting means and inverting means being alternately enabled when M-bit data words successively read from said memory means have unequal numbers of said "1" and "0" bits. 20. The apparatus according to claim 18; in which said memory means has a flag terminal which produces an output signal of a first value when an M-bit data word read therefrom has an equal number of "1" and "0" bits and which is of a second value when an M-bit data word read therefrom has an unequal number of "1" and "0" bits. | 0.5 |
5,568,383 | 1 | 3 | 1. A computer implemented method of transmitting a document in a data processing system having a plurality of workstations from an originator to a recipient, comprising: creating said document in a first workstation of said originator in a first language; translating said document from said first language into a second language at said first workstation and generating information loss for said document accessible by said originator; specifying loss criteria restricting a particular one of a plurality of translations by said originator based on said information loss and combining said loss criteria with said document in said first language; and transmitting said document in said first language with said loss criteria to said recipient at a second workstation in said data processing system for translation into said second language selected by said recipient based on said loss criteria when said second language is not the particular one of said plurality of translations restricted by said originator. | 1. A computer implemented method of transmitting a document in a data processing system having a plurality of workstations from an originator to a recipient, comprising: creating said document in a first workstation of said originator in a first language; translating said document from said first language into a second language at said first workstation and generating information loss for said document accessible by said originator; specifying loss criteria restricting a particular one of a plurality of translations by said originator based on said information loss and combining said loss criteria with said document in said first language; and transmitting said document in said first language with said loss criteria to said recipient at a second workstation in said data processing system for translation into said second language selected by said recipient based on said loss criteria when said second language is not the particular one of said plurality of translations restricted by said originator. 3. The method of claim 1 wherein said specifying step includes the steps comprising, creating an object for storing said loss criteria at said first workstation; and entering said loss criteria in said object in a general criteria format at said first workstation. | 0.778894 |
8,838,617 | 10 | 13 | 10. A computer-readable storage medium whose contents, when executed by a computing system, cause the computing system perform operations of searching for recommended music using emotional information of music, the operations comprising: inputting a search condition that is used to search for recommended music; searching a music emotion database (DB), which stores information about emotional values including valence values and arousal values of respective pieces of music, for emotional value information corresponding to the input search condition; retrieving the emotional value information from the input search condition, the emotional value information including a valence value and an arousal value; extracting a combination of emotion ranks corresponding to the retrieved emotional value information by using an emotion model that includes information about mixed emotions corresponding to valence values and arousal values; searching the music emotion DB for music information corresponding to the extracted emotion ranks combination; and outputting a recommended music list including music information that corresponds to the extracted emotion ranks combination. | 10. A computer-readable storage medium whose contents, when executed by a computing system, cause the computing system perform operations of searching for recommended music using emotional information of music, the operations comprising: inputting a search condition that is used to search for recommended music; searching a music emotion database (DB), which stores information about emotional values including valence values and arousal values of respective pieces of music, for emotional value information corresponding to the input search condition; retrieving the emotional value information from the input search condition, the emotional value information including a valence value and an arousal value; extracting a combination of emotion ranks corresponding to the retrieved emotional value information by using an emotion model that includes information about mixed emotions corresponding to valence values and arousal values; searching the music emotion DB for music information corresponding to the extracted emotion ranks combination; and outputting a recommended music list including music information that corresponds to the extracted emotion ranks combination. 13. The computer-readable storage medium of claim 10 , wherein extracting emotional value information from the input search condition includes extracting an emotion rank combination of emotions contained in an emotional keyword when the input search condition is an emotional keyword. | 0.782875 |
8,683,323 | 1 | 2 | 1. A method comprising: obtaining a first XML schema and a second XML schema; with a processor, identifying one or more schema objects of each of the first XML schema and the second XML schema; comparing one of the identified schema objects of the first XML schema with one of the identified schema objects of the second XML schema; if a difference is detected between the compared schema objects, evaluating a risk of the detected difference affecting operation of a composite application incorporating the first schema or the second schema; and issuing a notification of the evaluated risk of the detected difference; wherein evaluating the risk comprises evaluating the risk in accordance with a predetermined rule. | 1. A method comprising: obtaining a first XML schema and a second XML schema; with a processor, identifying one or more schema objects of each of the first XML schema and the second XML schema; comparing one of the identified schema objects of the first XML schema with one of the identified schema objects of the second XML schema; if a difference is detected between the compared schema objects, evaluating a risk of the detected difference affecting operation of a composite application incorporating the first schema or the second schema; and issuing a notification of the evaluated risk of the detected difference; wherein evaluating the risk comprises evaluating the risk in accordance with a predetermined rule. 2. The method of claim 1 , wherein the first or second XML schema comprises an XML Schema Definition (XSD) document, a Web Services Description Language (WSDL) definition, or a Web Application Description Language (WADL) definition. | 0.546875 |
9,076,121 | 11 | 20 | 11. A system of categorizing items to be sold by a retailer, the system comprising: a computer comprising one or more physical processors programmed to execute one or more computer executable instructions which, when executed by the one or more physical processors, cause the computer to: obtain an item attribute that describes an item to be sold by the retailer; obtain a data structure of the retailer that describes a plurality of categories including a first category and a second category of items sold by the retailer, wherein the data structure comprises a hierarchy that describes an association between the first category and the second category; determine that the item belongs to the first category based on the data structure of the retailer and the item attribute; determine that the item is associated with the second category based on the hierarchy and the first category; and provide an indication of the first category and the second category. | 11. A system of categorizing items to be sold by a retailer, the system comprising: a computer comprising one or more physical processors programmed to execute one or more computer executable instructions which, when executed by the one or more physical processors, cause the computer to: obtain an item attribute that describes an item to be sold by the retailer; obtain a data structure of the retailer that describes a plurality of categories including a first category and a second category of items sold by the retailer, wherein the data structure comprises a hierarchy that describes an association between the first category and the second category; determine that the item belongs to the first category based on the data structure of the retailer and the item attribute; determine that the item is associated with the second category based on the hierarchy and the first category; and provide an indication of the first category and the second category. 20. The system of claim 11 , wherein the second category includes the first category as a sub-category of the second category. | 0.5 |
8,326,842 | 15 | 16 | 15. A computer-implemented method executed by one or more computing devices, the method comprising: receiving a search query; performing a search using the search query; receiving a plurality of documents snippets from the search; identifying a first set of one or more candidate topics by comparing one or more document snippets to an ontology of topics, wherein comparing each document snippet of the plurality of document snippets to the ontology of topics comprises computing a feature vector for each document snippet based on words contained in each document snippet and comparing each feature vector to topics in the ontology of topics, and wherein positive topic identification for the candidate topics within a document snippet is determined by determining that the feature vector for the document snippet is within a predetermined distance of a given topic; identifying a second set of one or more candidate topics by comparing one or more document snippets to an ontology of partial topics; identifying a third set of one or more candidate topics by generating key-phrase topics from one or more document snippets; ranking candidate topics from the first, second, and third set of candidate topics; selecting one or more topics based on ranking of the candidate topics; and providing a search results page in response to the search query, the search results page having a table of contents containing the one or more topics and a search results area for presenting one or more search results. | 15. A computer-implemented method executed by one or more computing devices, the method comprising: receiving a search query; performing a search using the search query; receiving a plurality of documents snippets from the search; identifying a first set of one or more candidate topics by comparing one or more document snippets to an ontology of topics, wherein comparing each document snippet of the plurality of document snippets to the ontology of topics comprises computing a feature vector for each document snippet based on words contained in each document snippet and comparing each feature vector to topics in the ontology of topics, and wherein positive topic identification for the candidate topics within a document snippet is determined by determining that the feature vector for the document snippet is within a predetermined distance of a given topic; identifying a second set of one or more candidate topics by comparing one or more document snippets to an ontology of partial topics; identifying a third set of one or more candidate topics by generating key-phrase topics from one or more document snippets; ranking candidate topics from the first, second, and third set of candidate topics; selecting one or more topics based on ranking of the candidate topics; and providing a search results page in response to the search query, the search results page having a table of contents containing the one or more topics and a search results area for presenting one or more search results. 16. The computer-implemented method of claim 15 , wherein identifying the second set of one or more candidate topics by comparing one or more document snippets to the ontology of partial topics comprises identifying one or more partial topics and naming each partial topic, wherein a partial topic is named by: identifying occurrences of a partial topic identifier word for the partial topic within one or more document snippets; extracting words and/or phrases occurring around identified occurrences of the partial topic identifier word within the one or more document snippets; counting frequency of each extracted word and/or phrase; selecting a most frequently used word or phrase; and naming the partial topic using the partial topic identifier and the most frequently used word or phrase. | 0.5 |
7,555,691 | 1 | 6 | 1. A method comprising a plurality of activities, comprising: automatically: receiving a signal; and via a plurality of iterations, determining, for the received signal, a provable near-optimal B-term representation formed from a linear combination of a plurality of elements selected from a predetermined redundant μ-coherent dictionary, said determined near-optimal B-term representation corresponding to an error that is a minimum of a set of errors corresponding to all possible B-term representations associated with the predetermined redundant μ-coherent dictionary. | 1. A method comprising a plurality of activities, comprising: automatically: receiving a signal; and via a plurality of iterations, determining, for the received signal, a provable near-optimal B-term representation formed from a linear combination of a plurality of elements selected from a predetermined redundant μ-coherent dictionary, said determined near-optimal B-term representation corresponding to an error that is a minimum of a set of errors corresponding to all possible B-term representations associated with the predetermined redundant μ-coherent dictionary. 6. The method of claim 1 , further comprising: preprocessing the redundant μ-coherent dictionary. | 0.813462 |
8,810,578 | 1 | 8 | 1. A processor-implemented method of converting a Shockwave Flash (SWF) shape definition, stored in a memory associated with the processor, including a first plurality of directed edges having a first path style in common, into a first vector graphics path definition corresponding to the first path style, the method comprising: i) creating, at the processor, a first path style graph representation corresponding to the first path style, based on mapping the first plurality of directed edges of the SWF shape definition having the first path style in common to a first plurality of vertices and undirected edges, and generating and storing connectivity information relating to the first plurality of vertices and undirected edges such that each of the undirected edges is connected to two of the first plurality of vertices and such that each of the first plurality of vertices is connected to two of the undirected edges, the first path style graph representation including first path style information and a first graph representation; ii) creating, at the processor, a first vector graphics path by traversing undirected edges of a graph represented by the first graph representation and by removing an undirected edge, after the undirected edge has been traversed, from each edge set to which the traversed edge belongs; iii) creating, at the processor, the first vector graphics path definition including the first vector graphics path and the first path style information; and iv) rendering the first vector graphics path definition. | 1. A processor-implemented method of converting a Shockwave Flash (SWF) shape definition, stored in a memory associated with the processor, including a first plurality of directed edges having a first path style in common, into a first vector graphics path definition corresponding to the first path style, the method comprising: i) creating, at the processor, a first path style graph representation corresponding to the first path style, based on mapping the first plurality of directed edges of the SWF shape definition having the first path style in common to a first plurality of vertices and undirected edges, and generating and storing connectivity information relating to the first plurality of vertices and undirected edges such that each of the undirected edges is connected to two of the first plurality of vertices and such that each of the first plurality of vertices is connected to two of the undirected edges, the first path style graph representation including first path style information and a first graph representation; ii) creating, at the processor, a first vector graphics path by traversing undirected edges of a graph represented by the first graph representation and by removing an undirected edge, after the undirected edge has been traversed, from each edge set to which the traversed edge belongs; iii) creating, at the processor, the first vector graphics path definition including the first vector graphics path and the first path style information; and iv) rendering the first vector graphics path definition. 8. The processor-implemented method of claim 1 wherein the path style comprises one of a line style and a fill style. | 0.953275 |
9,405,856 | 12 | 13 | 12. A method performed by a computing device having at least one processor, for providing query-completion suggestions associated with task-oriented user actions, the method comprising: mining query logs to A) identify a plurality of task-oriented user actions that ultimately occurred subsequent to accessing search results, and B) identify correlations between the plurality of task-oriented user actions and one or more search queries that generated the search results, wherein a correlation is based at least on multiple occurrences of a respective task-oriented user action subsequent to accessing search results of a respective search query by multiple users; identifying a plurality of character sequences, each representing a shortcut to at least one search query that is correlated with one of the plurality of task-oriented user actions; and based on the identified correlations between the one or more search queries and the plurality of task-oriented user actions, generating an index that maps each of the identified character sequences to one of the search queries correlated with the one of the plurality of task-oriented user actions represented thereby such that upon receipt of one of the plurality of character sequences as at least a portion of a search query, the respective search query correlated with the task-oriented user action in the index is provided as a query-completion suggestion to complete the received search query portion. | 12. A method performed by a computing device having at least one processor, for providing query-completion suggestions associated with task-oriented user actions, the method comprising: mining query logs to A) identify a plurality of task-oriented user actions that ultimately occurred subsequent to accessing search results, and B) identify correlations between the plurality of task-oriented user actions and one or more search queries that generated the search results, wherein a correlation is based at least on multiple occurrences of a respective task-oriented user action subsequent to accessing search results of a respective search query by multiple users; identifying a plurality of character sequences, each representing a shortcut to at least one search query that is correlated with one of the plurality of task-oriented user actions; and based on the identified correlations between the one or more search queries and the plurality of task-oriented user actions, generating an index that maps each of the identified character sequences to one of the search queries correlated with the one of the plurality of task-oriented user actions represented thereby such that upon receipt of one of the plurality of character sequences as at least a portion of a search query, the respective search query correlated with the task-oriented user action in the index is provided as a query-completion suggestion to complete the received search query portion. 13. The method of claim 12 , further comprising: receiving a portion of a user-input search query; determining that the received portion of the user-input search query is one of the plurality of character sequences that represents a shortcut to at least one query-completion suggestion that is associated with one of the plurality of task-oriented user actions; and providing the at least one query-completion suggestion as a suggested completion to the portion of the user-input search query. | 0.5 |
8,412,531 | 17 | 18 | 17. The computer readable storage medium of claim 16 , further comprising identifying a contextual data associated with the contextual area on the touch screen interface. | 17. The computer readable storage medium of claim 16 , further comprising identifying a contextual data associated with the contextual area on the touch screen interface. 18. The computer readable storage medium of claim 17 , further comprising receiving the spoken utterance via the activated listening mechanism of the speech recognition module related to the identified contextual data. | 0.5 |
9,223,879 | 3 | 5 | 3. The method of claim 1 , wherein the social network environment further comprises one or more data stores comprising information corresponding to one or more of a plurality of users of the social network environment, and wherein the data store of information is indexed into one or more indexes to facilitate the determining of the first data set. | 3. The method of claim 1 , wherein the social network environment further comprises one or more data stores comprising information corresponding to one or more of a plurality of users of the social network environment, and wherein the data store of information is indexed into one or more indexes to facilitate the determining of the first data set. 5. The method of claim 3 , wherein one of the indexes comprises an index of all users indexed by corresponding user IDs that includes, for each particular user ID, a first set of concept nodes identified by corresponding concept IDs that are connected to the user node corresponding to the particular user ID. | 0.542899 |
9,886,432 | 1 | 11 | 1. A method for predicting words, the method comprising: at an electronic device: receiving input from a user; determining, using an n-gram language model, a probability of a predicted word based on a previously-input word in the received input, wherein the predicted word comprises a stem and a suffix; determining, a probability of the suffix being grammatically valid for the stem; determining an integrated probability of the predicted word based on the probability of the predicted word and the probability of the suffix being grammatically valid for the stem; and providing output of the predicted word, based on the integrated probability. | 1. A method for predicting words, the method comprising: at an electronic device: receiving input from a user; determining, using an n-gram language model, a probability of a predicted word based on a previously-input word in the received input, wherein the predicted word comprises a stem and a suffix; determining, a probability of the suffix being grammatically valid for the stem; determining an integrated probability of the predicted word based on the probability of the predicted word and the probability of the suffix being grammatically valid for the stem; and providing output of the predicted word, based on the integrated probability. 11. The method of claim 1 , wherein determining the probability of the predicted word comprises determining, using the n-gram language model, the probability of the predicted word based on a plurality of words in the received input. | 0.762781 |
9,898,580 | 7 | 9 | 7. Apparatus comprising: at least one processor; and a memory storing processor-executable instructions that, when executed by the at least one processor, perform a method comprising: extracting, from a text documenting a clinician's encounter with a single patient, a set of one or more clinical facts representing one or more abstract semantic concepts, wherein the extracting comprises analyzing the text, via a natural language understanding engine, to identify a set of one or more features of at least a portion of the text, and correlating the set of features to the one or more abstract semantic concepts; wherein the one or more abstract semantic concepts comprise a first diagnosis that the clinician, in the text, indicated that the patient exhibited; wherein the first diagnosis is a generic diagnosis representing a class of a plurality of more specific subdiagnoses of the first diagnosis; wherein the method further comprises: analyzing a history record comprising data indicative of the patient's history to determine an additional fact without needing to request input of the additional fact; analyzing the set of one or more clinical facts and the additional fact to generate one or more hypotheses for a second diagnosis, exhibited by the patient and not documented in the text, the second diagnosis being a particular one of the plurality of more specific subdiagnoses of the first diagnosis that the clinician indicated that the patient exhibited; and presenting, to a user, the generated at least one of the one or more hypotheses. | 7. Apparatus comprising: at least one processor; and a memory storing processor-executable instructions that, when executed by the at least one processor, perform a method comprising: extracting, from a text documenting a clinician's encounter with a single patient, a set of one or more clinical facts representing one or more abstract semantic concepts, wherein the extracting comprises analyzing the text, via a natural language understanding engine, to identify a set of one or more features of at least a portion of the text, and correlating the set of features to the one or more abstract semantic concepts; wherein the one or more abstract semantic concepts comprise a first diagnosis that the clinician, in the text, indicated that the patient exhibited; wherein the first diagnosis is a generic diagnosis representing a class of a plurality of more specific subdiagnoses of the first diagnosis; wherein the method further comprises: analyzing a history record comprising data indicative of the patient's history to determine an additional fact without needing to request input of the additional fact; analyzing the set of one or more clinical facts and the additional fact to generate one or more hypotheses for a second diagnosis, exhibited by the patient and not documented in the text, the second diagnosis being a particular one of the plurality of more specific subdiagnoses of the first diagnosis that the clinician indicated that the patient exhibited; and presenting, to a user, the generated at least one of the one or more hypotheses. 9. The apparatus of claim 7 , wherein the first diagnosis corresponds to a first code in a hierarchical coding system, and wherein the one or more hypotheses for the second diagnosis include at least one code in the hierarchical coding system that is a more specific version of the first code. | 0.5 |
9,589,029 | 11 | 16 | 11. A system for selecting by an intermediary device a database from a plurality of databases to forward a structured query language (SQL) query request based on a property of the SQL request, the system comprising: a device intermediary to a plurality of clients and a plurality of databases, wherein the device establishes a plurality of server-side connections to the plurality of databases, the device establishing a pool of server-side connections to each database of the plurality of databases; a database proxy of the device receiving from a client of the plurality of clients, a request to execute a structured query language (SQL) query included in the request; a policy engine of the database proxy parsing the SQL query to identify one or more first properties of the SQL query that are exposed using policy expressions corresponding to a first policy for selecting a database to execute the SQL query, evaluating, responsive to the first policy, the one or more first properties of the SQL query to select a database to execute the SQL query, the one or more first properties of the SQL query identifying an action to be taken on a database, parsing the SQL query to identify one or more second properties of the SQL query that are exposed using policy expressions corresponding to a second policy for selecting a server-side connection of the pool of server-side connections over which to forward the SQL query to the database, and evaluating, responsive to the second policy, one or more second properties of the SQL query to select a server-side connection of the pool of server-side connections over which to forward the SQL query to the selected database, the one or more second properties identifying connection characteristics of a database connection; and wherein the database proxy selects a database from the plurality of databases based on a result of evaluation of the one or more first properties of the SQL query, selects the server-side connection of the pool of server-side connections based on a result of evaluation of the one or more second properties of the SQL query and forwards the SQL query to the selected database via the server-side connection of the plurality of server-side connections. | 11. A system for selecting by an intermediary device a database from a plurality of databases to forward a structured query language (SQL) query request based on a property of the SQL request, the system comprising: a device intermediary to a plurality of clients and a plurality of databases, wherein the device establishes a plurality of server-side connections to the plurality of databases, the device establishing a pool of server-side connections to each database of the plurality of databases; a database proxy of the device receiving from a client of the plurality of clients, a request to execute a structured query language (SQL) query included in the request; a policy engine of the database proxy parsing the SQL query to identify one or more first properties of the SQL query that are exposed using policy expressions corresponding to a first policy for selecting a database to execute the SQL query, evaluating, responsive to the first policy, the one or more first properties of the SQL query to select a database to execute the SQL query, the one or more first properties of the SQL query identifying an action to be taken on a database, parsing the SQL query to identify one or more second properties of the SQL query that are exposed using policy expressions corresponding to a second policy for selecting a server-side connection of the pool of server-side connections over which to forward the SQL query to the database, and evaluating, responsive to the second policy, one or more second properties of the SQL query to select a server-side connection of the pool of server-side connections over which to forward the SQL query to the selected database, the one or more second properties identifying connection characteristics of a database connection; and wherein the database proxy selects a database from the plurality of databases based on a result of evaluation of the one or more first properties of the SQL query, selects the server-side connection of the pool of server-side connections based on a result of evaluation of the one or more second properties of the SQL query and forwards the SQL query to the selected database via the server-side connection of the plurality of server-side connections. 16. The system of claim 11 , wherein a load balancer of the device selects the database from the plurality of databases based on least connection load balancing. | 0.888194 |
9,215,510 | 1 | 9 | 1. A method for tagging a media asset, the method comprising: receiving verbal input from a user while the user is accessing the media asset; receiving a request to adjust playback of the media asset; responsive to receiving the verbal input and the request, cross-referencing a combination of the verbal input and the request with an attribute database to identify an attribute associated with the combination; and associating the identified attribute with the media asset. | 1. A method for tagging a media asset, the method comprising: receiving verbal input from a user while the user is accessing the media asset; receiving a request to adjust playback of the media asset; responsive to receiving the verbal input and the request, cross-referencing a combination of the verbal input and the request with an attribute database to identify an attribute associated with the combination; and associating the identified attribute with the media asset. 9. The method of claim 1 further comprising generating at least one of a recommendation and a search result based on the attribute associated with the media asset. | 0.742902 |
9,465,801 | 1 | 11 | 1. A Computer implemented method comprising instructions stored on a non-transitory computer readable storage medium and executed on a computing device provided with a hardware processor and a memory, for an automatic processing and management of technical digital documents and drawings, the method comprising steps of: receiving one or more digital files of engineering digital documents and drawings from a plurality of sources, and wherein the plurality of sources is selected from a group consisting of scanners, email servers, applications and receiving one or more digital files of engineering digital documents and drawings using a plurality of methods, and wherein the plurality of methods comprises protocols, and wherein the protocols includes Web-based Distributed Authoring and Versioning (WebDav), and File Transfer Protocol (FTP); creating a queue of the received engineering drawings and documents by creating a record in an incoming database for processing; reading contents of the received one or more digital files to determine a project owning the one or more digital files of the engineering documents and drawings, and wherein the contents include a source of origination, and wherein the one or more digital files comprises a cover letter enclosed by a dispatching agency, one or more drawing files and one or more documents; reading contents of the received cover letter; reading attributes of the one or more drawing files and the one or more documents, and wherein the attributes includes contents provided in a Title Block of Drawings or Cover Page of Documents; identifying attributes of the received one or more digital files using one or more image analysis techniques, and wherein the one or more image analysis techniques is selected from a group consisting of an edge detection technique, a line detection technique, a pattern recognition technique; determining regions on the received one or more digital files for applying an optical character recognition process; identifying an anchor text or anchor image and the anchor text values in the received one or more digital files by performing the optical character recognition and/or pattern matching technique; performing quality checks on the identified attributes in the one or more digital files, dispatch cover sheets and previous transactions, and wherein the quality checks includes performing pattern validation, checking formats of title blocks that are used for creation of drawings, checking wet-signatures, checking hand written text and checking stamps put on the received one or more documents and drawings; performing reconciliation between the identified attributes from the one or more digital files of the engineering documents and drawings and the attributes in the dispatched coversheets, and comparing the reconciliation information with stored information in an Organizational database with respect to a particular project; applying one or more business rules, before accepting the received content and updating the organizational database for project documents; wherein when a fidelity of the data identified from coversheets and/or received one or more digital files is less than a prescribed threshold value and/or missing data points or logical inconsistencies or identified at any point in a process flow, then the relevant data points are referred to a human document controller for validation, verification and error resolution, and wherein the transactions are further processed and executed based on the inputs of the human document controller, and wherein the prescribed threshold value is set by the human document controller. | 1. A Computer implemented method comprising instructions stored on a non-transitory computer readable storage medium and executed on a computing device provided with a hardware processor and a memory, for an automatic processing and management of technical digital documents and drawings, the method comprising steps of: receiving one or more digital files of engineering digital documents and drawings from a plurality of sources, and wherein the plurality of sources is selected from a group consisting of scanners, email servers, applications and receiving one or more digital files of engineering digital documents and drawings using a plurality of methods, and wherein the plurality of methods comprises protocols, and wherein the protocols includes Web-based Distributed Authoring and Versioning (WebDav), and File Transfer Protocol (FTP); creating a queue of the received engineering drawings and documents by creating a record in an incoming database for processing; reading contents of the received one or more digital files to determine a project owning the one or more digital files of the engineering documents and drawings, and wherein the contents include a source of origination, and wherein the one or more digital files comprises a cover letter enclosed by a dispatching agency, one or more drawing files and one or more documents; reading contents of the received cover letter; reading attributes of the one or more drawing files and the one or more documents, and wherein the attributes includes contents provided in a Title Block of Drawings or Cover Page of Documents; identifying attributes of the received one or more digital files using one or more image analysis techniques, and wherein the one or more image analysis techniques is selected from a group consisting of an edge detection technique, a line detection technique, a pattern recognition technique; determining regions on the received one or more digital files for applying an optical character recognition process; identifying an anchor text or anchor image and the anchor text values in the received one or more digital files by performing the optical character recognition and/or pattern matching technique; performing quality checks on the identified attributes in the one or more digital files, dispatch cover sheets and previous transactions, and wherein the quality checks includes performing pattern validation, checking formats of title blocks that are used for creation of drawings, checking wet-signatures, checking hand written text and checking stamps put on the received one or more documents and drawings; performing reconciliation between the identified attributes from the one or more digital files of the engineering documents and drawings and the attributes in the dispatched coversheets, and comparing the reconciliation information with stored information in an Organizational database with respect to a particular project; applying one or more business rules, before accepting the received content and updating the organizational database for project documents; wherein when a fidelity of the data identified from coversheets and/or received one or more digital files is less than a prescribed threshold value and/or missing data points or logical inconsistencies or identified at any point in a process flow, then the relevant data points are referred to a human document controller for validation, verification and error resolution, and wherein the transactions are further processed and executed based on the inputs of the human document controller, and wherein the prescribed threshold value is set by the human document controller. 11. The method according to claim 1 , wherein identifying structures on the plurality of images comprises identifying edges of the plurality of images, horizontal lines, vertical lines, while spaces, tables, text-strings, date formats, paragraphs, phone numbers, currency, barcodes, colors and, collection of similar objects and repeatable patterns and stamps, and wherein the stamps includes decision codes. | 0.735409 |
8,577,908 | 1 | 3 | 1. A computer-implemented method of preventing alterations of data in a database when a query is executed against the database, comprising: providing a logical representation of the data defining a plurality of logical fields abstractly describing a manner of accessing and exposing, via a user interface, associated physical entities of the data, wherein each of the plurality of logical fields include a reference to an access method selected from at least two different access method types; wherein the at least two different access method types are selected from the group comprising: (i) a simple access method which maps a respective one of the plurality of logical fields directly to a physical entity, (ii) a filtered access method which identifies a physical entity and provides rules used to define a subset of items within the physical entities, and (iii) a composed access method which computes a value for a respective one of the plurality of logical fields from one or more physical entities using an expression supplied as part of a composed access method definition; wherein each of the different access methods types defines a different manner of exposing the respective physical entities of the data; and wherein at least a portion of the plurality of logical fields include lock attributes referenced in order to lock the respective logical field; receiving an abstract query comprising at least one logical field of the portion of logical fields; in response to receiving the abstract query, locking, on the basis of the respective lock attributes, the at least one logical field before executing the abstract query; and unlocking at least one logical field after executing the abstract query. | 1. A computer-implemented method of preventing alterations of data in a database when a query is executed against the database, comprising: providing a logical representation of the data defining a plurality of logical fields abstractly describing a manner of accessing and exposing, via a user interface, associated physical entities of the data, wherein each of the plurality of logical fields include a reference to an access method selected from at least two different access method types; wherein the at least two different access method types are selected from the group comprising: (i) a simple access method which maps a respective one of the plurality of logical fields directly to a physical entity, (ii) a filtered access method which identifies a physical entity and provides rules used to define a subset of items within the physical entities, and (iii) a composed access method which computes a value for a respective one of the plurality of logical fields from one or more physical entities using an expression supplied as part of a composed access method definition; wherein each of the different access methods types defines a different manner of exposing the respective physical entities of the data; and wherein at least a portion of the plurality of logical fields include lock attributes referenced in order to lock the respective logical field; receiving an abstract query comprising at least one logical field of the portion of logical fields; in response to receiving the abstract query, locking, on the basis of the respective lock attributes, the at least one logical field before executing the abstract query; and unlocking at least one logical field after executing the abstract query. 3. The method of claim 1 , wherein the lock attributes of the at least one logical field comprises a synchronization indication of whether a lock on the logical field is required or not and a lock item indication of whether a lock on a corresponding physical entity of the data is required or not, and wherein locking the at least one logical field comprises: upon determining, from the synchronization indication, that executing the abstract query against the database requires a lock on the at least one logical field, locking the at least one logical field; and upon determining, from the lock item indication, that executing the abstract query against the database requires a lock on the corresponding physical entity of the data, locking the corresponding physical entity before executing the abstract query. | 0.5 |
9,773,336 | 1 | 4 | 1. A system, comprising: at least one processor; and a memory coupled to the at least one processor and storing program instructions-executable by the at least one processor to perform operations including: displaying, via a graphical user interface, a representation of a document including an animation that is renderable by executing programmatic elements of the document to manipulate a structure of the document; displaying the document in a natural state that corresponds to an initial point of the animation and represents a version of the document that a search engine configured to analyze only static structural elements of a document encounters during a search; rendering the animation starting from the initial point of the animation by executing programmatic elements of the document; responsive to receiving a selection of a point of the animation that occurs in between the initial point of the animation and an end point of the animation, designating the selected point of the animation as a new base state of the document; altering the version of the document that the search engine encounters during a search to correspond to the new base state without changing the natural state of the document such that any subsequent rendering of the animation still starts from the initial point of the animation that corresponds to the natural state; and maintaining the natural state of the document and the new base state so that any subsequent rendering of the animation starts from the initial point of the animation while the version of the document that the search engine encounters during a search corresponds to the selected point of the animation that occurs in between the initial point of the animation and the end point of the animation. | 1. A system, comprising: at least one processor; and a memory coupled to the at least one processor and storing program instructions-executable by the at least one processor to perform operations including: displaying, via a graphical user interface, a representation of a document including an animation that is renderable by executing programmatic elements of the document to manipulate a structure of the document; displaying the document in a natural state that corresponds to an initial point of the animation and represents a version of the document that a search engine configured to analyze only static structural elements of a document encounters during a search; rendering the animation starting from the initial point of the animation by executing programmatic elements of the document; responsive to receiving a selection of a point of the animation that occurs in between the initial point of the animation and an end point of the animation, designating the selected point of the animation as a new base state of the document; altering the version of the document that the search engine encounters during a search to correspond to the new base state without changing the natural state of the document such that any subsequent rendering of the animation still starts from the initial point of the animation that corresponds to the natural state; and maintaining the natural state of the document and the new base state so that any subsequent rendering of the animation starts from the initial point of the animation while the version of the document that the search engine encounters during a search corresponds to the selected point of the animation that occurs in between the initial point of the animation and the end point of the animation. 4. The system of claim 1 , wherein the selection of the point of the animation that occurs in between the initial point of the animation and the end point of the animation is received via at least one of a timeline, a storyboard, a flowchart, or an event list. | 0.77193 |
8,855,429 | 18 | 19 | 18. The character recognizing apparatus as claimed in claim 17 , wherein the recognition controlling unit excludes characters from the first word one by one and identifies new words from characters remaining in the first word after excluding characters from the first word, searches the dictionary database using the respective new words, and outputs words corresponding to the respective new words according to a result of the search of the dictionary database using the respective new words. | 18. The character recognizing apparatus as claimed in claim 17 , wherein the recognition controlling unit excludes characters from the first word one by one and identifies new words from characters remaining in the first word after excluding characters from the first word, searches the dictionary database using the respective new words, and outputs words corresponding to the respective new words according to a result of the search of the dictionary database using the respective new words. 19. The character recognizing apparatus as claimed in claim 18 , wherein the recognition controlling unit searches the dictionary database using a selected word having one or more characters selected by the user from the one or more characters identified through the character-recognition-processing; and outputs a word corresponding to the selected word according to a result of a search of the dictionary database using the selected word. | 0.5 |
9,495,415 | 20 | 37 | 20. A method as recited in claim 1 wherein generating search results comprises generating search results in response to suggestion data. | 20. A method as recited in claim 1 wherein generating search results comprises generating search results in response to suggestion data. 37. A method as recited in claim 20 further comprising generating the suggestion data in response to an external source to the user device. | 0.630319 |
8,793,593 | 19 | 24 | 19. A method comprising: storing at a social networking system a social graph comprising a plurality of graph objects interconnected by graph actions, the graph actions having graph action types defined by entities external to, and independent from, the social networking system, where each of the graph actions represent a relationship between two or more graph objects and each of the graph action types define the relationship between the two or more graph objects; providing a music listening interface for display to a second user, the music listening interface including a link associated with a graph action being performed by a first user upon a graph object on an external system; receiving from the second user a selection of the link associated with the graph action being performed by the first user upon the graph object on the external system; responsive to the selection of the link, sending a request to the external system for the second user to perform the graph action being performed by the first user upon the graph object on the external system; and enabling a collaborative music listening interaction with the external system, the collaborative music listening interaction including the first user and the second user synchronously performing the graph action on the graph object; and updating the social graph based on the graph action performed, where the graph action is of a graph action type that was defined by one of the entities external to the social networking system. | 19. A method comprising: storing at a social networking system a social graph comprising a plurality of graph objects interconnected by graph actions, the graph actions having graph action types defined by entities external to, and independent from, the social networking system, where each of the graph actions represent a relationship between two or more graph objects and each of the graph action types define the relationship between the two or more graph objects; providing a music listening interface for display to a second user, the music listening interface including a link associated with a graph action being performed by a first user upon a graph object on an external system; receiving from the second user a selection of the link associated with the graph action being performed by the first user upon the graph object on the external system; responsive to the selection of the link, sending a request to the external system for the second user to perform the graph action being performed by the first user upon the graph object on the external system; and enabling a collaborative music listening interaction with the external system, the collaborative music listening interaction including the first user and the second user synchronously performing the graph action on the graph object; and updating the social graph based on the graph action performed, where the graph action is of a graph action type that was defined by one of the entities external to the social networking system. 24. The method of claim 19 , wherein providing the music listening interface further comprises: providing a link associated with the first user, the link associated with the first user providing a pop up window including information about the graph action being performed by the first user on the external system as the second user generates a user input over the link associated with the first user. | 0.628253 |
8,140,326 | 10 | 12 | 10. The method of claim 1 , further comprising selecting a vocalic sound as the replacement sound. | 10. The method of claim 1 , further comprising selecting a vocalic sound as the replacement sound. 12. The method of claim 10 , further comprising selecting a vocalic sound spoken by another speaker as the replacement sound. | 0.5 |
8,862,991 | 3 | 4 | 3. The method of claim 1 , wherein tagging at least the second section of said multi-version document to indicate its association with said alternative version includes the steps of: inserting into the multi-version document a plurality of alternative content nodes, each alternative content node indicating an alternative selection; and inserting into the multi-version document a selection node, said selection node indicating, in response to an alternative selection input, one of the plurality of alternative content nodes. | 3. The method of claim 1 , wherein tagging at least the second section of said multi-version document to indicate its association with said alternative version includes the steps of: inserting into the multi-version document a plurality of alternative content nodes, each alternative content node indicating an alternative selection; and inserting into the multi-version document a selection node, said selection node indicating, in response to an alternative selection input, one of the plurality of alternative content nodes. 4. The method of claim 3 , wherein each of said alternative content nodes indicating an alternative selection is associated with one of a plurality of versions for the multi-version document. | 0.5 |
9,196,252 | 7 | 8 | 7. A client device connected to a network, the client device configured to communicate with at least one speech server, the client device comprising at least one processor configured to perform: establishing a communications session with the at least one speech server; querying the at least one speech server for a speech grammar over the established communications session, or selecting a speech grammar stored in the network connected client device and uploading the selected speech grammar to the at least one speech server over the established communications session; analyzing the speech grammar to determine a complexity of the speech grammar; and determining whether to process the speech locally in the network connected client device, or remotely in the at least one speech server in the network based on the complexity of the speech grammar. | 7. A client device connected to a network, the client device configured to communicate with at least one speech server, the client device comprising at least one processor configured to perform: establishing a communications session with the at least one speech server; querying the at least one speech server for a speech grammar over the established communications session, or selecting a speech grammar stored in the network connected client device and uploading the selected speech grammar to the at least one speech server over the established communications session; analyzing the speech grammar to determine a complexity of the speech grammar; and determining whether to process the speech locally in the network connected client device, or remotely in the at least one speech server in the network based on the complexity of the speech grammar. 8. The client device of claim 7 , wherein said analyzing includes identifying in said speech grammar a pre-determined characterization. | 0.5 |
8,452,653 | 25 | 43 | 25. A computer-readable medium having instructions stored therein, which when executed cause a computer to perform a set of operations comprising: recording activity data by a portable user device on a transportable recordable medium (TRM) coupled to the user device, the recording being in response to user participation in an activity; transferring the activity data at the user device to a profiler across a network, the profiler storing a user controlled profile including the activity data; displaying the activity data and user selectable options for the user controlled profile through the user device; and initiating a monetary transaction through the user device based on one of the plurality of recommendations; and receiving a plurality of recommendations by the user device inferred from the activity data by a user selected profiling program. | 25. A computer-readable medium having instructions stored therein, which when executed cause a computer to perform a set of operations comprising: recording activity data by a portable user device on a transportable recordable medium (TRM) coupled to the user device, the recording being in response to user participation in an activity; transferring the activity data at the user device to a profiler across a network, the profiler storing a user controlled profile including the activity data; displaying the activity data and user selectable options for the user controlled profile through the user device; and initiating a monetary transaction through the user device based on one of the plurality of recommendations; and receiving a plurality of recommendations by the user device inferred from the activity data by a user selected profiling program. 43. The computer-readable medium of claim 25 , wherein the plurality of recommendations include a price for an item at an on-line store. | 0.832512 |
8,671,390 | 15 | 17 | 15. A computer-readable storage memory embedded with computer-executable instructions for controlling a computing device to resolve conflicts between names and unique identifiers of custom metadata elements of an application, by a method comprising: receiving an indication of a name and a unique identifier of the imported custom metadata element of the application program; determining whether an existing custom metadata element of the application program has a name that is the same as the name of the imported custom metadata element and a unique identifier that is different from the unique identifier of the imported custom metadata element; when it is determined that an existing custom metadata element of the application program has a name that is the same as the name of the imported custom metadata element and a unique identifier that is different from the unique identifier of the imported custom metadata element, changing the name of the existing custom metadata element, and creating a new custom metadata element having the name and the unique identifier of the imported custom metadata element; determining whether an existing custom metadata element of the application program has a name that is different from the name of the imported custom metadata element and a unique identifier that is the same as the unique identifier of the imported custom metadata element; and when it is determined that an existing custom metadata element of the application program has a name that is different from the name of the imported custom metadata element and a unique identifier that is the same as the unique identifier of the imported custom metadata element, changing the name of the existing custom metadata element to the name of the imported custom metadata element. | 15. A computer-readable storage memory embedded with computer-executable instructions for controlling a computing device to resolve conflicts between names and unique identifiers of custom metadata elements of an application, by a method comprising: receiving an indication of a name and a unique identifier of the imported custom metadata element of the application program; determining whether an existing custom metadata element of the application program has a name that is the same as the name of the imported custom metadata element and a unique identifier that is different from the unique identifier of the imported custom metadata element; when it is determined that an existing custom metadata element of the application program has a name that is the same as the name of the imported custom metadata element and a unique identifier that is different from the unique identifier of the imported custom metadata element, changing the name of the existing custom metadata element, and creating a new custom metadata element having the name and the unique identifier of the imported custom metadata element; determining whether an existing custom metadata element of the application program has a name that is different from the name of the imported custom metadata element and a unique identifier that is the same as the unique identifier of the imported custom metadata element; and when it is determined that an existing custom metadata element of the application program has a name that is different from the name of the imported custom metadata element and a unique identifier that is the same as the unique identifier of the imported custom metadata element, changing the name of the existing custom metadata element to the name of the imported custom metadata element. 17. The computer-readable storage memory of claim 15 wherein the receiving includes receiving metadata for the imported custom metadata element that includes name, unique identifier, type, format, and location. | 0.747596 |
7,668,889 | 14 | 16 | 14. The computer-readable storage medium of claim 13 , further comprising operational instructions that, when executed by the processor, cause the processor to display a second display in response to a selection of the first user-selectable command. | 14. The computer-readable storage medium of claim 13 , further comprising operational instructions that, when executed by the processor, cause the processor to display a second display in response to a selection of the first user-selectable command. 16. The computer-readable storage medium of claim 14 , wherein the second display page includes a drop-down menu to receive a user-selection of any of the plurality of categories for which an expanded number of the keyword search results and the FAQ results are to be displayed together on a subsequent display page. | 0.5 |
10,002,604 | 1 | 11 | 1. A voice synthesizing method comprising: a first receiving step of receiving first utterance control information generated on detecting a start of a manipulation on an input device by a user, wherein the start of the manipulation is an initial interaction with the input device by the user; a first synthesizing step of synthesizing and outputting, in accordance with a timing of the reception of the first utterance control information, a first voice including a first phoneme in a phoneme sequence of a voice to be synthesized; a second receiving step of receiving second utterance control information generated on detecting a completion of the manipulation on the input device by the user, wherein the completion of the manipulation is a completion of the initial interaction with the input device by the user; and a second synthesizing step of synthesizing and outputting, in accordance with a timing of the reception of the second utterance control information, a second voice including a succeeding phoneme in the phoneme sequence, the succeeding phoneme being subsequent to the first phoneme in the phoneme sequence. | 1. A voice synthesizing method comprising: a first receiving step of receiving first utterance control information generated on detecting a start of a manipulation on an input device by a user, wherein the start of the manipulation is an initial interaction with the input device by the user; a first synthesizing step of synthesizing and outputting, in accordance with a timing of the reception of the first utterance control information, a first voice including a first phoneme in a phoneme sequence of a voice to be synthesized; a second receiving step of receiving second utterance control information generated on detecting a completion of the manipulation on the input device by the user, wherein the completion of the manipulation is a completion of the initial interaction with the input device by the user; and a second synthesizing step of synthesizing and outputting, in accordance with a timing of the reception of the second utterance control information, a second voice including a succeeding phoneme in the phoneme sequence, the succeeding phoneme being subsequent to the first phoneme in the phoneme sequence. 11. The voice synthesizing method according to claim 1 , wherein the detection of the start of the manipulation on the input device by the user includes a detection of the user's finger approaching the input device. | 0.878941 |
8,781,994 | 10 | 12 | 10. A device comprising: a memory to store a plurality of instructions; and a processor to execute instructions in the memory to: receive communications associated with a user device of a user, generate, based on the received communications, communication information associated with the user device, calculate an extrovert score for the user based on the communication information, and wherein calculating the extrovert score for the user is based on a measurement that relates to at least the number of outgoing calls to different users in a region, calculate a popularity score for the user based on the communication information, wherein calculating the popularity score for the user is based on a measurement that relates to at least the total number of incoming calls received from different users in the region, calculate an interesting communicator score for the user based on a measure of different incoming calls and different outgoing calls to and from other user devices in the region, determine a personality score for the user based on a weighted average of the extrovert score, the popularity score, and the interesting communicator score, and provide the personality score to the user device associated with the user. | 10. A device comprising: a memory to store a plurality of instructions; and a processor to execute instructions in the memory to: receive communications associated with a user device of a user, generate, based on the received communications, communication information associated with the user device, calculate an extrovert score for the user based on the communication information, and wherein calculating the extrovert score for the user is based on a measurement that relates to at least the number of outgoing calls to different users in a region, calculate a popularity score for the user based on the communication information, wherein calculating the popularity score for the user is based on a measurement that relates to at least the total number of incoming calls received from different users in the region, calculate an interesting communicator score for the user based on a measure of different incoming calls and different outgoing calls to and from other user devices in the region, determine a personality score for the user based on a weighted average of the extrovert score, the popularity score, and the interesting communicator score, and provide the personality score to the user device associated with the user. 12. The device of claim 10 , where the communications include one or more of: short message service (SMS) messages, electronic mail (email) messages, multimedia message service (MMS) messages, instant messages (IMs), or telephone calls. | 0.810897 |
9,269,346 | 1 | 9 | 1. A method comprising: storing, in a database, voice data, wherein the voice data is associated with a plurality of voices, wherein the plurality of voices are stored within libraries according to emotions; identifying, using user speech exhibited by a user, a user emotion; identifying, via a processor and according to the user emotion, a first text-to-speech voice of the plurality of voices which are in the database, wherein the first text-to-speech voice has a first emotional content from a first speaker; identifying, via the processor and according to the user emotion, a second text-to-speech voice of the plurality of voices which are in the database, wherein the second text-to-speech voice has a second emotional content from a second speaker, and wherein the second emotional content is distinct from the first emotional content; and synthesizing synthesized speech using the first text-to-speech voice and the second text-to-speech voice, wherein the synthesized speech mimics the user emotion. | 1. A method comprising: storing, in a database, voice data, wherein the voice data is associated with a plurality of voices, wherein the plurality of voices are stored within libraries according to emotions; identifying, using user speech exhibited by a user, a user emotion; identifying, via a processor and according to the user emotion, a first text-to-speech voice of the plurality of voices which are in the database, wherein the first text-to-speech voice has a first emotional content from a first speaker; identifying, via the processor and according to the user emotion, a second text-to-speech voice of the plurality of voices which are in the database, wherein the second text-to-speech voice has a second emotional content from a second speaker, and wherein the second emotional content is distinct from the first emotional content; and synthesizing synthesized speech using the first text-to-speech voice and the second text-to-speech voice, wherein the synthesized speech mimics the user emotion. 9. The method of claim 1 , wherein the first text-to-speech voice and the second text-to-speech voice have a similar pitch range and fundamental frequency with respect to one another. | 0.681185 |
9,201,964 | 1 | 3 | 1. A computer-implemented method comprising: identifying an entity within a search query; referencing an entity store to identify one or more related entities related to the entity; mining the entity store to identify a distance of each of the one or more related entities from the entity, wherein the distance is a number of connections away from the entity for each of the one or more related entities; ranking the one or more related entities based on the identified distance; storing the one or more related entities and a relationship of each of the one or more related entities to the entity; and communicating for display within a search engine results page at least one of the one or more related entities having a predetermined distance from the entity. | 1. A computer-implemented method comprising: identifying an entity within a search query; referencing an entity store to identify one or more related entities related to the entity; mining the entity store to identify a distance of each of the one or more related entities from the entity, wherein the distance is a number of connections away from the entity for each of the one or more related entities; ranking the one or more related entities based on the identified distance; storing the one or more related entities and a relationship of each of the one or more related entities to the entity; and communicating for display within a search engine results page at least one of the one or more related entities having a predetermined distance from the entity. 3. The method of claim 1 , wherein the one or more related entities are determined to be related to the entity based on information stored in the entity store indicating a relationship between the entity and the related entities. | 0.5 |
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