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15. A computer-implemented method for ranking information content, said method comprising: obtaining a plurality of scores for a plurality of documents; assigning a value to at least one document of the plurality of documents based on a score of the plurality of scores for at least one of one or more content elements in said at least one document; ranking said plurality of documents based on said plurality of scores for one or more content elements in each document of said plurality of documents, wherein each score is based on (i) one or more metrics of one or more social networks and (ii) a performance measure of one or more related individuals that accessed one or more of said plurality of documents having at least one of one or more identified content elements based on one or more search criteria, and wherein each score is further based on a regression model between the performance measure and the one or more content elements, wherein: at least one of said one or more metrics is a topological feature of topic sub-network comprising two or more individuals based on a weighted value derived from communication between two or more individuals within said one or more social networks, wherein said value is weighted based on an amount of communication pertaining to a topic between the two or more individuals, at least one of said one or more metrics is a network constraint metric measuring a degree to which an individual has diverse contacts in a network with respect to other contacts in the network, wherein an increase in the diverse contacts provides an increase in information sources to improve productivity of the individual, at least one of said one or more metrics is a graph entropy metric measuring the concentration of one or more given individuals clustered across each partition of multiple partitions associated with the topic in the one or more social networks, and said performance measure comprises revenue generated by each related individual of said one or more related individuals and wherein one or more steps of said method are performed by one or more hardware devices; and providing said ranking. | 15. A computer-implemented method for ranking information content, said method comprising: obtaining a plurality of scores for a plurality of documents; assigning a value to at least one document of the plurality of documents based on a score of the plurality of scores for at least one of one or more content elements in said at least one document; ranking said plurality of documents based on said plurality of scores for one or more content elements in each document of said plurality of documents, wherein each score is based on (i) one or more metrics of one or more social networks and (ii) a performance measure of one or more related individuals that accessed one or more of said plurality of documents having at least one of one or more identified content elements based on one or more search criteria, and wherein each score is further based on a regression model between the performance measure and the one or more content elements, wherein: at least one of said one or more metrics is a topological feature of topic sub-network comprising two or more individuals based on a weighted value derived from communication between two or more individuals within said one or more social networks, wherein said value is weighted based on an amount of communication pertaining to a topic between the two or more individuals, at least one of said one or more metrics is a network constraint metric measuring a degree to which an individual has diverse contacts in a network with respect to other contacts in the network, wherein an increase in the diverse contacts provides an increase in information sources to improve productivity of the individual, at least one of said one or more metrics is a graph entropy metric measuring the concentration of one or more given individuals clustered across each partition of multiple partitions associated with the topic in the one or more social networks, and said performance measure comprises revenue generated by each related individual of said one or more related individuals and wherein one or more steps of said method are performed by one or more hardware devices; and providing said ranking. 16. The method of claim 15 , further comprising the step of providing search results based on assigned values. | 0.567861 |
1. A computer implemented method for enforcing business rules in a computer program, using static analysis, the method comprising: storing a plurality of business rules to enforce respective plurality of business processes representing a behavior of an enterprise, wherein the plurality of business rules comprises at least one pattern-based business rule, at least one flow-based business rule, and at least one runtime business rule; parsing a representation of each of the business processes in the computer program to create a business process graph for each of the business processes that represent the behavior of the enterprise; identifying execution paths for each of the business processes from the business process graphs; creating control flow graphs and data flow graphs from the identified execution paths for each of the business processes; adhering the created control flow graphs and data flow graphs to the plurality of business rules by combining control flow graphs and data flow graphs for two or more related business processes that represent the behavior of the enterprise; applying said one or more of the stored business rules to the combined control flow graphs and data flow graphs; and reporting whether any of the applied rules is violated. | 1. A computer implemented method for enforcing business rules in a computer program, using static analysis, the method comprising: storing a plurality of business rules to enforce respective plurality of business processes representing a behavior of an enterprise, wherein the plurality of business rules comprises at least one pattern-based business rule, at least one flow-based business rule, and at least one runtime business rule; parsing a representation of each of the business processes in the computer program to create a business process graph for each of the business processes that represent the behavior of the enterprise; identifying execution paths for each of the business processes from the business process graphs; creating control flow graphs and data flow graphs from the identified execution paths for each of the business processes; adhering the created control flow graphs and data flow graphs to the plurality of business rules by combining control flow graphs and data flow graphs for two or more related business processes that represent the behavior of the enterprise; applying said one or more of the stored business rules to the combined control flow graphs and data flow graphs; and reporting whether any of the applied rules is violated. 6. The method of claim 1 , wherein the parsed representation of the business processes is in a form of a spread sheet. | 0.594801 |
16. The system of claim 14 , further comprising: a system for dividing the image into a plurality of sub-images. | 16. The system of claim 14 , further comprising: a system for dividing the image into a plurality of sub-images. 18. The system of claim 16 , further comprising: a system for constructing a modified markup file containing the plurality of sub-images, wherein the second scripting language code is adapted to cause a user terminal upon which it is executed to transmit coordinate information defining a position of a user-controlled cursor. | 0.877155 |
1. A method for providing emotionally relevant content to users, comprising: receiving, from a first user, a user emotion label for content; labeling the content based upon the user emotion label to create labeled content; defining an emotional transition trigger for a second user comprising defining a timeout trigger for a first emotional content type; and responsive to a triggering of the emotional transition trigger comprising the second user consuming content of the first emotional content type for a threshold amount of time corresponding to the timeout trigger, providing the labeled content to the second user based upon the labeled content having a second emotional content type different than the first emotional content type. | 1. A method for providing emotionally relevant content to users, comprising: receiving, from a first user, a user emotion label for content; labeling the content based upon the user emotion label to create labeled content; defining an emotional transition trigger for a second user comprising defining a timeout trigger for a first emotional content type; and responsive to a triggering of the emotional transition trigger comprising the second user consuming content of the first emotional content type for a threshold amount of time corresponding to the timeout trigger, providing the labeled content to the second user based upon the labeled content having a second emotional content type different than the first emotional content type. 8. The method of claim 1 , the providing the labeled content comprising: displaying the labeled content through at least one of a website interface element of a website with which the second user is engaged or an application interface element of an application with which the second user is engaged. | 0.619497 |
1. A computing device implemented method comprising: attaining data representing features of a font capable of representing one or more glyphs; and determining a rating for pairing the font and at least one other font using a machine learning system and the data representing the features of the font, wherein at least one of the features or at least one category of a set of categories is identified to represent the font by the machine learning system using the features of the font, and wherein the machine learning system produces a vector of numerical values, each numerical value represents one of the features or one of the categories in the set of categories. | 1. A computing device implemented method comprising: attaining data representing features of a font capable of representing one or more glyphs; and determining a rating for pairing the font and at least one other font using a machine learning system and the data representing the features of the font, wherein at least one of the features or at least one category of a set of categories is identified to represent the font by the machine learning system using the features of the font, and wherein the machine learning system produces a vector of numerical values, each numerical value represents one of the features or one of the categories in the set of categories. 12. The computing device implemented method of claim 1 , wherein determining the rating for pairing the font and the at least one other font uses a set of rules. | 0.614253 |
3. The method of claim 2 , further comprising: determining, by the computing device, a subspace of an eigenvector representation of the correlation representation, wherein the subspace includes given eigenvectors representative of given variances greater than variances represented by other eigenvectors in the eigenvector representation; and determining, based on the subspace, local weights for the individual costs, wherein the given individual cost is weighted based on a given local weight of the local weights. | 3. The method of claim 2 , further comprising: determining, by the computing device, a subspace of an eigenvector representation of the correlation representation, wherein the subspace includes given eigenvectors representative of given variances greater than variances represented by other eigenvectors in the eigenvector representation; and determining, based on the subspace, local weights for the individual costs, wherein the given individual cost is weighted based on a given local weight of the local weights. 4. The method of claim 3 , wherein the subspace is configured to include the given eigenvectors that have eigenvalues greater than a threshold value. | 0.882119 |
1. A computer implemented method comprising: receiving by a search engine, operating on a computing device, from a content searching or consuming application, an atomic search term, the search engine and the content searching or consuming application being operated on one or more different or same computing devices; receiving content nominally associated with the atomic search term, or access information of the content, by the search engine; generating, by the search engine, one or more scores for one or more structures of the content indicative of relative relevance of the content or one or more portions of the content to the atomic search term, wherein the generating of a score for a structure is based at least in part on a distance function and a scoring function, wherein the structure has sub-structures structurally describing at least a portion of the content, and having content nodes and/or text strings, wherein the sub-structures are hierarchically organized with the one or more portions of the content in a sub-structure at a level respectively assigned one or more positions according to a geometry established for that level, wherein the distance function measures distances between sub-structures within the structure, and the scoring function is positionally sensitive, yielding different scores for different occurrence positions of the atomic search term in the sub-structures; and conditionally providing or not providing the content or one or more portions of the content, or access information of the content or one or more portions of the content, to the content searching or consuming application, by the search engine, based at least in part on the generated one or more scores; wherein the generating of a score for a structure further includes at each level, linearly iterating over one or more portions of the content at the level to capture potential of a portion to influence other portions of the level, and influence received by a portion from the other portions of the level. | 1. A computer implemented method comprising: receiving by a search engine, operating on a computing device, from a content searching or consuming application, an atomic search term, the search engine and the content searching or consuming application being operated on one or more different or same computing devices; receiving content nominally associated with the atomic search term, or access information of the content, by the search engine; generating, by the search engine, one or more scores for one or more structures of the content indicative of relative relevance of the content or one or more portions of the content to the atomic search term, wherein the generating of a score for a structure is based at least in part on a distance function and a scoring function, wherein the structure has sub-structures structurally describing at least a portion of the content, and having content nodes and/or text strings, wherein the sub-structures are hierarchically organized with the one or more portions of the content in a sub-structure at a level respectively assigned one or more positions according to a geometry established for that level, wherein the distance function measures distances between sub-structures within the structure, and the scoring function is positionally sensitive, yielding different scores for different occurrence positions of the atomic search term in the sub-structures; and conditionally providing or not providing the content or one or more portions of the content, or access information of the content or one or more portions of the content, to the content searching or consuming application, by the search engine, based at least in part on the generated one or more scores; wherein the generating of a score for a structure further includes at each level, linearly iterating over one or more portions of the content at the level to capture potential of a portion to influence other portions of the level, and influence received by a portion from the other portions of the level. 4. The method of claim 1 , wherein the content comprises one or more web pages of one or more web applications, one or more XML documents in one or more XML repositories, one or more documents in one or more document corpora, or one or more database objects in one or more databases. | 0.630747 |
12. A processing device to perform an action based on receipt of and/or exposure to audio, the processing device comprising: an input device to receive audio carrying a monitoring code indicating that the audio is to be monitored; and a processor to detect the monitoring code and, in response to detection of the monitoring code, generate a signature characterizing the audio using at least a portion of the audio containing the monitoring code, wherein the processor is to cause the performance of the action based on at least one of the monitoring code or the signature. | 12. A processing device to perform an action based on receipt of and/or exposure to audio, the processing device comprising: an input device to receive audio carrying a monitoring code indicating that the audio is to be monitored; and a processor to detect the monitoring code and, in response to detection of the monitoring code, generate a signature characterizing the audio using at least a portion of the audio containing the monitoring code, wherein the processor is to cause the performance of the action based on at least one of the monitoring code or the signature. 15. The processing device according to claim 12 , wherein the action comprises presenting at least one of one of video, audio, images, HyperText Markup Language (HTML) content, a Uniform Resource Locator (URL), a shortened URL, metadata, or text. | 0.576406 |
15. A method of creating and/or updating a computerized model usable in connection with an enterprise modeling platform, the computerized model being defined in connection with a first modeling language, the method comprising: receiving an image of a hand-drawn model, the hand-drawn model existing on a physical substrate and following rules associated with a second modeling language, the first and second modeling languages being different from one another; performing, using processing resources including at least one processor and a memory operably coupled thereto, image processing on the image of the hand-drawn model, the image processing including a plurality of different identification levels, the different identification levels respectively corresponding to recognitions of (a) structures in the image that correspond to objects in the hand-drawn model, (b) object types for the identified structures that correspond to the objects, (c) text associated with the identified structures that correspond to the objects, and (d) connections between at least some of the identified structures that correspond to the objects; generating, using the processing resources, a digitized iteratively-reviewed version of the hand-drawn model by: presenting, on a display device and on an identification level by identification level basis, results of the recognitions corresponding to the respective identification levels, and accepting user modification(s) to the results on the identification level by identification level basis; and transforming the digitized iteratively-reviewed version of the hand-drawn model into the computerized model in accordance with a set of rules defining relationships between elements in the first and second modeling languages. | 15. A method of creating and/or updating a computerized model usable in connection with an enterprise modeling platform, the computerized model being defined in connection with a first modeling language, the method comprising: receiving an image of a hand-drawn model, the hand-drawn model existing on a physical substrate and following rules associated with a second modeling language, the first and second modeling languages being different from one another; performing, using processing resources including at least one processor and a memory operably coupled thereto, image processing on the image of the hand-drawn model, the image processing including a plurality of different identification levels, the different identification levels respectively corresponding to recognitions of (a) structures in the image that correspond to objects in the hand-drawn model, (b) object types for the identified structures that correspond to the objects, (c) text associated with the identified structures that correspond to the objects, and (d) connections between at least some of the identified structures that correspond to the objects; generating, using the processing resources, a digitized iteratively-reviewed version of the hand-drawn model by: presenting, on a display device and on an identification level by identification level basis, results of the recognitions corresponding to the respective identification levels, and accepting user modification(s) to the results on the identification level by identification level basis; and transforming the digitized iteratively-reviewed version of the hand-drawn model into the computerized model in accordance with a set of rules defining relationships between elements in the first and second modeling languages. 21. The method of claim 15 , wherein the processing resources are incorporated into a mobile electronic device that also includes a camera configured to take a picture corresponding to the image of the hand-drawn model. | 0.639296 |
7. A method of parsing resource identifiers, the method comprising the steps of: intercepting, at a client computing device, a resource identifier being provided to a non-browser application program executing on the client computing device; identifying, at the client computing device, in response to the obtaining, a remote domain of a remote resource identified by the resource identifier; obtaining, from the remote resource, information regarding a customized parser associated with the remote domain; downloading the customized parser; executing, at the client computing device, the customized parser to parse the resource identifier to derive derivative information therefrom; and presenting the derivative information to the non-browser application program instead of the resource identifier that was being provided to the non-browser application program. | 7. A method of parsing resource identifiers, the method comprising the steps of: intercepting, at a client computing device, a resource identifier being provided to a non-browser application program executing on the client computing device; identifying, at the client computing device, in response to the obtaining, a remote domain of a remote resource identified by the resource identifier; obtaining, from the remote resource, information regarding a customized parser associated with the remote domain; downloading the customized parser; executing, at the client computing device, the customized parser to parse the resource identifier to derive derivative information therefrom; and presenting the derivative information to the non-browser application program instead of the resource identifier that was being provided to the non-browser application program. 8. The method of claim 7 , further comprising the steps of: obtaining, from the remote resource, information regarding services associated with the remote resource; wherein the derivative information comprises the obtained information regarding the services associated with the remote resource. | 0.668587 |
6. The proofing tool of claim 1 , further comprising a criteria selector to prompt for and receive a proofing criterion. | 6. The proofing tool of claim 1 , further comprising a criteria selector to prompt for and receive a proofing criterion. 7. The proofing tool of claim 6 , wherein the rule module is further operable to obtain the rule based on the proofing criterion. | 0.90636 |
14. A system for operating a computer to analyze image evaluation data from electronic survey respondents to evaluate preferences related to two dimensional and three dimensional images, the system comprising: means for receiving data files, wherein said data files include designated area data, image attributes, and opinions of a plurality of survey respondents for one or more survey images in an electronic survey, wherein the designated area data corresponds to designated areas in one or more of the survey images; means for providing a user interface to permit an operator to reformat said designated area data and set analysis parameters; means for performing cluster analysis to said data files to reduce the dimensionality of said designated area data and to classify areas of the survey images that generate positive and negative responses; means for producing coordinate data to map cluster classifications onto the survey images; means for producing coordinate data for construction of a heat map of said designated area data; means for performing descriptive statistical analysis to said data files; means for identifying clusters of interest based on the designated areas; means for assigning a cluster score to at least one cluster of the clusters of interest, wherein the cluster score is generated based on a proportion of the plurality of survey respondents that designated at least one area of the designated areas associated with the at least one cluster; means for linking the opinions corresponding to the designated areas and results from said descriptive statistical analysis to said clusters of interest; and means for saving analysis results for processing by a viewing means. | 14. A system for operating a computer to analyze image evaluation data from electronic survey respondents to evaluate preferences related to two dimensional and three dimensional images, the system comprising: means for receiving data files, wherein said data files include designated area data, image attributes, and opinions of a plurality of survey respondents for one or more survey images in an electronic survey, wherein the designated area data corresponds to designated areas in one or more of the survey images; means for providing a user interface to permit an operator to reformat said designated area data and set analysis parameters; means for performing cluster analysis to said data files to reduce the dimensionality of said designated area data and to classify areas of the survey images that generate positive and negative responses; means for producing coordinate data to map cluster classifications onto the survey images; means for producing coordinate data for construction of a heat map of said designated area data; means for performing descriptive statistical analysis to said data files; means for identifying clusters of interest based on the designated areas; means for assigning a cluster score to at least one cluster of the clusters of interest, wherein the cluster score is generated based on a proportion of the plurality of survey respondents that designated at least one area of the designated areas associated with the at least one cluster; means for linking the opinions corresponding to the designated areas and results from said descriptive statistical analysis to said clusters of interest; and means for saving analysis results for processing by a viewing means. 21. The system according to claim 14 , wherein said user interface provides options for structuring cluster analysis. | 0.574489 |
1. An associative vector storage system, comprising: an encoding engine that takes input vectors, and generates transformed coefficients for a tunable number of iterations, wherein each iteration performs a complete transformation to obtain coefficients, thereby performing a process of iterative transformations, wherein said encoding engine selects a subset of coefficients from the coefficients generated by the process of iterative transformations to form an approximation vector with reduced dimension; a data store that stores the approximation vectors with a corresponding set of meta data containing information about how the approximation vectors are generated, wherein the meta data includes at least one of the number of iterations, a projection map, quantization, or statistical information associated with each approximation vector; and a search engine that uses a comparator module to perform similarity search between the approximation vectors and a query vector in a transformed domain, wherein said search engine uses the meta data in a distance calculation of the similarity search. | 1. An associative vector storage system, comprising: an encoding engine that takes input vectors, and generates transformed coefficients for a tunable number of iterations, wherein each iteration performs a complete transformation to obtain coefficients, thereby performing a process of iterative transformations, wherein said encoding engine selects a subset of coefficients from the coefficients generated by the process of iterative transformations to form an approximation vector with reduced dimension; a data store that stores the approximation vectors with a corresponding set of meta data containing information about how the approximation vectors are generated, wherein the meta data includes at least one of the number of iterations, a projection map, quantization, or statistical information associated with each approximation vector; and a search engine that uses a comparator module to perform similarity search between the approximation vectors and a query vector in a transformed domain, wherein said search engine uses the meta data in a distance calculation of the similarity search. 2. The system of claim 1 , wherein said search engine employs Harr transform in the process of transformations. | 0.583776 |
19. The computer readable storage medium of claim 18 , further including: repeating the step of selecting until all work-item elements have links corresponding to the mapped standardized specification elements. | 19. The computer readable storage medium of claim 18 , further including: repeating the step of selecting until all work-item elements have links corresponding to the mapped standardized specification elements. 21. The computer readable storage medium of claim 19 , wherein the description of practice guidelines for completing the project includes work phases, work-item input, work-item output, role, type, guidance, title, and suggested project work breakdown structure. | 0.946675 |
13. A computer-implemented method comprising: providing a graphical model including: a first entity associated with a first modeling domain, wherein the first modeling domain is one of a statechart domain, a time-based block diagram domain, a physical system domain, a data flow diagram domain, a unified modeling language domain, a discrete event modeling domain, or a compiled code domain, and a second entity associated with a second modeling domain, wherein the second modeling domain is of a different type than the first modeling domain and is one of the statechart domain, the time-based block diagram domain, the physical system domain, the data flow diagram domain, the unified modeling language domain, the discrete event modeling domain, or the compiled code domain; providing a programming interface to a debugger; transferring information associated with the first entity via the programming interface to the debugger after executing the first entity; generating a first domain-specific debugger view associated with the graphical model, the generated first domain-specific debugger view consistent with the first modeling domain, the generating first domain-specific debugger view being based on the transferring information associated with the first entity; transferring information associated with the second entity via the programming interface to the debugger after executing the second entity; generating a second domain-specific debugger view associated with the graphical model, the generated second domain-specific debugger view consistent with the second modeling domain, the generating the second domain-specific debugger being based on the transferring information associated with the second entity; displaying the first domain-specific debugger view on a display device, where the first domain-specific debugger view is displayed: after the first entity is executed, and using a first user interface element; automatically transitioning to an updated domain display, the transitioning occurring when the second entity is executing; and displaying the second domain-specific debugger view on the display device, where the second domain-specific debugger view is displayed: based on the transitioning, after the second entity is executed, and using a second user interface element. | 13. A computer-implemented method comprising: providing a graphical model including: a first entity associated with a first modeling domain, wherein the first modeling domain is one of a statechart domain, a time-based block diagram domain, a physical system domain, a data flow diagram domain, a unified modeling language domain, a discrete event modeling domain, or a compiled code domain, and a second entity associated with a second modeling domain, wherein the second modeling domain is of a different type than the first modeling domain and is one of the statechart domain, the time-based block diagram domain, the physical system domain, the data flow diagram domain, the unified modeling language domain, the discrete event modeling domain, or the compiled code domain; providing a programming interface to a debugger; transferring information associated with the first entity via the programming interface to the debugger after executing the first entity; generating a first domain-specific debugger view associated with the graphical model, the generated first domain-specific debugger view consistent with the first modeling domain, the generating first domain-specific debugger view being based on the transferring information associated with the first entity; transferring information associated with the second entity via the programming interface to the debugger after executing the second entity; generating a second domain-specific debugger view associated with the graphical model, the generated second domain-specific debugger view consistent with the second modeling domain, the generating the second domain-specific debugger being based on the transferring information associated with the second entity; displaying the first domain-specific debugger view on a display device, where the first domain-specific debugger view is displayed: after the first entity is executed, and using a first user interface element; automatically transitioning to an updated domain display, the transitioning occurring when the second entity is executing; and displaying the second domain-specific debugger view on the display device, where the second domain-specific debugger view is displayed: based on the transitioning, after the second entity is executed, and using a second user interface element. 18. The method of claim 13 further comprising: communicating to the debugger, via the programming interface, the communicating indicating how data associated with the first entity or the second entity is to be displayed. | 0.572743 |
2. The system of claim 1 where the encoded content is transmitted to a client in response to receipt of a request for text-based content from the client where output of a speech audio signal that is generated based on the text-based content included in the encoded content presents the text-based content as spoken audio. | 2. The system of claim 1 where the encoded content is transmitted to a client in response to receipt of a request for text-based content from the client where output of a speech audio signal that is generated based on the text-based content included in the encoded content presents the text-based content as spoken audio. 6. The system of claim 2 where: the request for text-based content includes location information that relates to a determined geographic location of the client; and the encoded content transmitted to the client includes text-based content associated with the location information. | 0.909153 |
6. The apparatus according to claim 1 , wherein the information on the article attribute is a particular attribute category; the second acquisition unit acquires one or more subsequent speech candidates corresponding to the particular attribute category and a frequency of each of the one or more subsequent speech candidates from a subsequent speech candidate storing unit that stores a plurality of subsequent speech candidate entries including respective attribute categories, respective subsequent speech candidates, and respective frequencies at which the subsequent speech candidate entries are selected via the accepting unit; and the presentation unit presents the acquired one or more subsequent speech candidates based on the acquired frequencies. | 6. The apparatus according to claim 1 , wherein the information on the article attribute is a particular attribute category; the second acquisition unit acquires one or more subsequent speech candidates corresponding to the particular attribute category and a frequency of each of the one or more subsequent speech candidates from a subsequent speech candidate storing unit that stores a plurality of subsequent speech candidate entries including respective attribute categories, respective subsequent speech candidates, and respective frequencies at which the subsequent speech candidate entries are selected via the accepting unit; and the presentation unit presents the acquired one or more subsequent speech candidates based on the acquired frequencies. 7. The apparatus according to claim 6 , wherein when the one or more subsequent speech candidates presented by the presentation unit are selected via the accepting unit, the frequencies of the one or more subsequent speech candidates stored in the subsequent speech candidate storing unit are updated. | 0.894896 |
13. A computer program product comprising a non-transitory computer-readable medium containing computer program code for performing the method comprising: receiving information about an action performed by a user, wherein the action comprises at least one of creating or interacting with first content, the user associated with an interest graph and representative of interests of the user in a plurality of topics; analyzing language of the first content to identify lexical features of the first content; determining a topic of the first content based on the lexical features of the first content; and updating the interest graph to modify an attachment level in the interest graph representing an interest of the user in the topic of the first content. | 13. A computer program product comprising a non-transitory computer-readable medium containing computer program code for performing the method comprising: receiving information about an action performed by a user, wherein the action comprises at least one of creating or interacting with first content, the user associated with an interest graph and representative of interests of the user in a plurality of topics; analyzing language of the first content to identify lexical features of the first content; determining a topic of the first content based on the lexical features of the first content; and updating the interest graph to modify an attachment level in the interest graph representing an interest of the user in the topic of the first content. 15. The computer program product of claim 13 , wherein determining a topic of the first content based on the lexical features of the first content further comprises: determining a topic of the first content based on the lexical features of the first content and the interest graph associated with the user. | 0.539109 |
4. The method of claim 1 , where receiving the second parsing rule includes receiving a user-created parsing rule. | 4. The method of claim 1 , where receiving the second parsing rule includes receiving a user-created parsing rule. 5. The method of claim 4 , where receiving the user-created parsing rule includes: receiving a user selection of a portion of a data message included in the data log; generating a message pattern based on the user selection; and designating a user-created tag and the message pattern as the user-created parsing rule. | 0.779473 |
7. A server, comprising: an associating unit configured to associate a workflow to an image of a portion of a first document undergoing a scan process; a determining unit configured to determine if the image is to be associated with at least a portion of a second document undergoing a scan process; and a triggering unit configured to trigger an execution of the workflow for the document undergoing the scan process when the image is associated with the portion of the second document undergoing the scan process. | 7. A server, comprising: an associating unit configured to associate a workflow to an image of a portion of a first document undergoing a scan process; a determining unit configured to determine if the image is to be associated with at least a portion of a second document undergoing a scan process; and a triggering unit configured to trigger an execution of the workflow for the document undergoing the scan process when the image is associated with the portion of the second document undergoing the scan process. 10. The server of claim 7 , wherein the determining unit is configured to determine if the image is to be associated with the document undergoing the scan process by matching the image to another image of at least the portion of the second document undergoing the scan process, the another image produced by the scan process; and associating the image with the second document undergoing the scan process if the image is matched to the another image. | 0.550523 |
9. A computer system for identifying and translating a subset of partially translated data, the system comprising: a processor, a computer readable memory and a computer readable storage device; first program instructions to extract a translation file from a database, the translation file comprising a plurality of English keys and translation language values, and untranslated keys, wherein the extracting forms an XML file; second program instructions to determine whether there are XML unsupported characters in the XML file; third program instructions to filter out, from the filtered XML file, the XML unsupported characters and translated data; fourth program instructions to delete, from the filtered XML file data which are XML unsupported characters based on existing XML standards; fifth program instructions to format, by the computer, the filtered XML file; sixth program instructions to send the data to be translated, resulting from the filtering step, to a translation center to translate; seventh program instructions to receive translated data from the translation center; and eighth program instructions to import a translated file into the database, wherein the first, second, third, fourth, fifth, sixth, seventh and eighth program instructions are stored on the computer readable storage device for execution by the processor via the computer readable memory. | 9. A computer system for identifying and translating a subset of partially translated data, the system comprising: a processor, a computer readable memory and a computer readable storage device; first program instructions to extract a translation file from a database, the translation file comprising a plurality of English keys and translation language values, and untranslated keys, wherein the extracting forms an XML file; second program instructions to determine whether there are XML unsupported characters in the XML file; third program instructions to filter out, from the filtered XML file, the XML unsupported characters and translated data; fourth program instructions to delete, from the filtered XML file data which are XML unsupported characters based on existing XML standards; fifth program instructions to format, by the computer, the filtered XML file; sixth program instructions to send the data to be translated, resulting from the filtering step, to a translation center to translate; seventh program instructions to receive translated data from the translation center; and eighth program instructions to import a translated file into the database, wherein the first, second, third, fourth, fifth, sixth, seventh and eighth program instructions are stored on the computer readable storage device for execution by the processor via the computer readable memory. 10. The computer system of claim 9 , wherein the English keys are substantially in English. | 0.633296 |
8. A system for assessing information in natural language contents, comprising: a computer processing system configured to receive, from a user interface, an object name as a query term from a user; and a computer storage configured to store an object-specific data set related to the object name and to store a plurality of documents containing text in a natural language, wherein the object-specific data set includes a plurality of property names and association-strength values, each property name being associated with an association-strength value, wherein the computer processing system is configured to separate the plurality of property names in the object-specific data set into a first group and a second group, wherein the first group of one or more property names have their respective association strength values at or above a predetermined value, wherein the second group of one or more property names have their respective association strength values below the predetermined value, wherein the computer processing system is configured to count the frequencies of the property names in the first group and count the frequencies of the property names in the second group in each of the plurality of documents, wherein the computer processing system is configured to calculate a relevance score as a function of the frequencies of the property names in the first group and the frequencies of property names in the second group, wherein the computer processing system is configured to rank the plurality of documents using their respective relevance scores and to return one or more documents to the user interface based on the ranking of the plurality of documents. | 8. A system for assessing information in natural language contents, comprising: a computer processing system configured to receive, from a user interface, an object name as a query term from a user; and a computer storage configured to store an object-specific data set related to the object name and to store a plurality of documents containing text in a natural language, wherein the object-specific data set includes a plurality of property names and association-strength values, each property name being associated with an association-strength value, wherein the computer processing system is configured to separate the plurality of property names in the object-specific data set into a first group and a second group, wherein the first group of one or more property names have their respective association strength values at or above a predetermined value, wherein the second group of one or more property names have their respective association strength values below the predetermined value, wherein the computer processing system is configured to count the frequencies of the property names in the first group and count the frequencies of the property names in the second group in each of the plurality of documents, wherein the computer processing system is configured to calculate a relevance score as a function of the frequencies of the property names in the first group and the frequencies of property names in the second group, wherein the computer processing system is configured to rank the plurality of documents using their respective relevance scores and to return one or more documents to the user interface based on the ranking of the plurality of documents. 14. The system of claim 8 , wherein the computer processing system is further configured to: count the frequencies of the plurality of property names in the one of the plurality of documents; sum the frequencies of property names to produce a total count in the one of the plurality of documents; and calculate the relevance score for the one of the plurality of documents using the total count. | 0.531566 |
1. A machine executed method comprising: presenting, at a local client machine, a first webpage that includes a first plurality of search results based on a user-provided search criteria, wherein a copy of the first webpage is locally cached; receiving a first user selection of a search result of the first plurality of search results included on the first webpage, wherein selection of the search result causes a document corresponding to the first user selection to be displayed; modifying, at the local client machine, the locally cached copy of the first webpage to include metadata associated with the first user selection of the search result; in response to receiving a request to re-display the first-webpage: inspecting the locally cached copy of the first webpage for any metadata, added to the locally cached copy subsequent to presenting the first webpage, associated with user interaction on the first web page; detecting that the locally cached copy of the first webpage has been modified to include the metadata associated with the first user selection of the search result; in response to the detecting step, obtaining content based on the metadata; responding to the request to re-display the first webpage by displaying a modified search results webpage, wherein the modified search results webpage has been changed relative to the first web page based, at least in part, on the content that was obtained based on the metadata. | 1. A machine executed method comprising: presenting, at a local client machine, a first webpage that includes a first plurality of search results based on a user-provided search criteria, wherein a copy of the first webpage is locally cached; receiving a first user selection of a search result of the first plurality of search results included on the first webpage, wherein selection of the search result causes a document corresponding to the first user selection to be displayed; modifying, at the local client machine, the locally cached copy of the first webpage to include metadata associated with the first user selection of the search result; in response to receiving a request to re-display the first-webpage: inspecting the locally cached copy of the first webpage for any metadata, added to the locally cached copy subsequent to presenting the first webpage, associated with user interaction on the first web page; detecting that the locally cached copy of the first webpage has been modified to include the metadata associated with the first user selection of the search result; in response to the detecting step, obtaining content based on the metadata; responding to the request to re-display the first webpage by displaying a modified search results webpage, wherein the modified search results webpage has been changed relative to the first web page based, at least in part, on the content that was obtained based on the metadata. 18. The computer readable storage medium of claim 1 , wherein the metadata included in the locally cached copy of the first webpage comprises at least a portion of the document corresponding to the first user selection. | 0.696718 |
12. The computer-implemented method of claim 8 , wherein identifying the character string as being the text entity includes: determining a matching score for the character string, the matching score being based at least in part on a number of edits made to the character class string. | 12. The computer-implemented method of claim 8 , wherein identifying the character string as being the text entity includes: determining a matching score for the character string, the matching score being based at least in part on a number of edits made to the character class string. 13. The computer-implemented method of claim 12 , wherein determining the matching score includes: assigning costs to edits made to the character class string, wherein the costs are based on a similarity between characters. | 0.846823 |
14. A method for finding data objects corresponding to a user query, comprising: receiving a selected object type at a computer having a search formation engine, the selected object type being selected by a user; the search formation engine presenting a user interface on a device associated with the user, the user interface comprising query options for the user to formulate a query on the selected object type, the query options comprising a structured query constraint and an unstructured query constraint; the search formation engine forming the query for an information retrieval engine, the query combining the structured query constraint and the unstructured query constraint; and the information retrieval engine processing the query and returning data objects that correspond to the query, the data objects being from a set of data objects, each data object in the set of data objects comprising unstructured data and a metadata structure as ascribed by an object type definition for an object type, wherein the object type definition specifies a set of attributes representing metadata for data objects instantiated according to the object type, the user interface based on a particular object type definition for the selected object type. | 14. A method for finding data objects corresponding to a user query, comprising: receiving a selected object type at a computer having a search formation engine, the selected object type being selected by a user; the search formation engine presenting a user interface on a device associated with the user, the user interface comprising query options for the user to formulate a query on the selected object type, the query options comprising a structured query constraint and an unstructured query constraint; the search formation engine forming the query for an information retrieval engine, the query combining the structured query constraint and the unstructured query constraint; and the information retrieval engine processing the query and returning data objects that correspond to the query, the data objects being from a set of data objects, each data object in the set of data objects comprising unstructured data and a metadata structure as ascribed by an object type definition for an object type, wherein the object type definition specifies a set of attributes representing metadata for data objects instantiated according to the object type, the user interface based on a particular object type definition for the selected object type. 15. The method of claim 14 , further comprising indexing the set of data objects in an index for search by the information retrieval engine. | 0.716628 |
7. The method of the curated answers system of claim 6 further comprising: generating a data catalog studio comprising a data catalog repository, a data source registrar, a background extraction component, a frontend component, and a user interaction logger; wherein the data catalog repository to store the social data catalog, to store a data object and information about the data object, and to return information about the data object, to update stored information, and to return a ranked list of relevant data object, and to search and to return a list of data object of a given type. | 7. The method of the curated answers system of claim 6 further comprising: generating a data catalog studio comprising a data catalog repository, a data source registrar, a background extraction component, a frontend component, and a user interaction logger; wherein the data catalog repository to store the social data catalog, to store a data object and information about the data object, and to return information about the data object, to update stored information, and to return a ranked list of relevant data object, and to search and to return a list of data object of a given type. 8. The method of the curated answers system of claim 7 further comprising: registering a data source and extracting declared metadata from a schema using the data source registrar; enabling at least one of the user and the another user to register a data source, upload documentation on the data source, upload the query log, search relevant objects, and browse the schema in the data source using the front end component; automatically profiling, locating, extracting, and associating a documentation of at least one of the user and the another user in the data source using the background extraction component; automatically profiling, locating, extracting, and associating a query log of at least one of the user and the another user in the data source using the background extraction component; and monitoring and logging interactions between the front end component and various users accessing the front end component to add, delete, reorder, modify, and sort information presented in profile pages of users of the curated answers system. | 0.725042 |
5. The method of claim 1 and further comprising: changing the table based on a further command received. | 5. The method of claim 1 and further comprising: changing the table based on a further command received. 10. The method of claim 5 wherein the further command is clearing information in the table. | 0.968188 |
5. An integrated circuit, comprising: a client circuit configured to: determine a plurality of virtual addresses to be specified in a prefetch request of the client circuit; send the prefetch requests to a prefetch processing unit in a memory management unit to cause table walk circuitry in the memory management unit to load translations for the plurality of virtual addresses into a translation table distinct from a translation lookaside buffer (TLB) of the memory management unit, wherein the table walk circuitry is configured to load the translations into the translation table without loading the translations into the TLB; and send, to the memory management unit, one or more memory requests specifying one or more of the plurality of virtual addresses. | 5. An integrated circuit, comprising: a client circuit configured to: determine a plurality of virtual addresses to be specified in a prefetch request of the client circuit; send the prefetch requests to a prefetch processing unit in a memory management unit to cause table walk circuitry in the memory management unit to load translations for the plurality of virtual addresses into a translation table distinct from a translation lookaside buffer (TLB) of the memory management unit, wherein the table walk circuitry is configured to load the translations into the translation table without loading the translations into the TLB; and send, to the memory management unit, one or more memory requests specifying one or more of the plurality of virtual addresses. 9. The integrated circuit of claim 5 , further comprising: one or more additional client circuits configured to send prefetch requests to the memory management unit to cause the memory management unit to load translations into translation table. | 0.683093 |
1. A system, comprising: a processor configured to: receive reputation data extracted from at least one data source, wherein the reputation data includes user-authored reviews pertaining to an entity and wherein a review comprises text and an accompanying rating; for a first review included in the reputation data, identify a theme in the first review that is associated with an aspect of the entity at least in part by determining at least one keyword using the first review's text; assign a first sentiment for the identified theme at least in part by using the first review's accompanying rating; assign a sentiment for a parent theme of the identified theme at least in part by using the first review's accompanying rating; for a second review included in the reputation data that includes the determined at least one keyword and in which the theme is identified, assign a second sentiment for the identified theme based at least in part on the second review's accompanying rating; and provide as output a report that includes the identified theme, a combination of the respective first and second sentiments for that identified theme, the parent theme, and the sentiment for the parent theme; and a memory coupled to the processor and configured to provide the processor with instructions. | 1. A system, comprising: a processor configured to: receive reputation data extracted from at least one data source, wherein the reputation data includes user-authored reviews pertaining to an entity and wherein a review comprises text and an accompanying rating; for a first review included in the reputation data, identify a theme in the first review that is associated with an aspect of the entity at least in part by determining at least one keyword using the first review's text; assign a first sentiment for the identified theme at least in part by using the first review's accompanying rating; assign a sentiment for a parent theme of the identified theme at least in part by using the first review's accompanying rating; for a second review included in the reputation data that includes the determined at least one keyword and in which the theme is identified, assign a second sentiment for the identified theme based at least in part on the second review's accompanying rating; and provide as output a report that includes the identified theme, a combination of the respective first and second sentiments for that identified theme, the parent theme, and the sentiment for the parent theme; and a memory coupled to the processor and configured to provide the processor with instructions. 12. The system of claim 1 wherein the processor is further configured to locate the determined at least one keyword within a hierarchy of keywords and to assign a sentiment to at least one parent of the keyword in the hierarchy based at least in part on the first review's accompanying rating. | 0.570757 |
1. A method, comprising: identifying, at a computer, at least one color attribute for a tag based on at least one association of the tag with a first color theme in a collection of color themes, the at least one color attribute being defined as present or absent for the first color theme; determining, via the computer, a weight for the at least one color attribute based on the at least one association of the tag with the first color theme, the weight representing a significance of the at least one color attribute to the tag; and estimating, via the computer, a descriptiveness value of the tag for a second color theme in the collection of color themes using the at least one color attribute and the weight. | 1. A method, comprising: identifying, at a computer, at least one color attribute for a tag based on at least one association of the tag with a first color theme in a collection of color themes, the at least one color attribute being defined as present or absent for the first color theme; determining, via the computer, a weight for the at least one color attribute based on the at least one association of the tag with the first color theme, the weight representing a significance of the at least one color attribute to the tag; and estimating, via the computer, a descriptiveness value of the tag for a second color theme in the collection of color themes using the at least one color attribute and the weight. 15. The method of claim 1 wherein the weight for each at least one color attribute is determined using a data set comprising: positive examples of color themes in the collection of color themes associated with the tag; and negative examples of color themes in the collection of color themes not associated with the tag. | 0.575209 |
1. A method in a computer system for identifying acronym and synonym pairs for a selected target corpus, the method comprising: analyzing each sentence in a target corpus to identify possible acronym and synonym pairs; determining, using a processor associated with a computer system, an occurrence frequency of each identified possible acronym and synonym pair from among a plurality of possible acronym and synonym pairs; determining a maximum possible length for each identified possible acronym and synonym pair; receiving a user-selected relative weighting factor from a user for weighting an occurrence frequency relative to a maximum possible length; scoring each identified possible acronym and synonym pair based on the user-selected weighting factor, occurrence frequency and maximum possible length, and wherein the scoring of each identified possible acronym and synonym pair further includes only scoring pairs with a longer maximum length higher than terms with a shorter maximum length when those pairs have substantially the same occurrence frequency; determining that at least one of the identified acronym and synonym pairs includes a pair in which a longer maximum length higher than terms with a shorter maximum length when those pairs have substantially the same occurrence frequency; only ranking the at least one identified acronym and synonym pair with the longer maximum length, such that only one of those pairs that had substantially the same occurrence frequency is ranked, wherein each of the acronym and synonym pairs are ranked relative to the plurality of ranked acronym and synonym pairs; and displaying the ranked acronym and synonym pairs from among the plurality of ranked acronym and synonym pairs. | 1. A method in a computer system for identifying acronym and synonym pairs for a selected target corpus, the method comprising: analyzing each sentence in a target corpus to identify possible acronym and synonym pairs; determining, using a processor associated with a computer system, an occurrence frequency of each identified possible acronym and synonym pair from among a plurality of possible acronym and synonym pairs; determining a maximum possible length for each identified possible acronym and synonym pair; receiving a user-selected relative weighting factor from a user for weighting an occurrence frequency relative to a maximum possible length; scoring each identified possible acronym and synonym pair based on the user-selected weighting factor, occurrence frequency and maximum possible length, and wherein the scoring of each identified possible acronym and synonym pair further includes only scoring pairs with a longer maximum length higher than terms with a shorter maximum length when those pairs have substantially the same occurrence frequency; determining that at least one of the identified acronym and synonym pairs includes a pair in which a longer maximum length higher than terms with a shorter maximum length when those pairs have substantially the same occurrence frequency; only ranking the at least one identified acronym and synonym pair with the longer maximum length, such that only one of those pairs that had substantially the same occurrence frequency is ranked, wherein each of the acronym and synonym pairs are ranked relative to the plurality of ranked acronym and synonym pairs; and displaying the ranked acronym and synonym pairs from among the plurality of ranked acronym and synonym pairs. 8. A method according to claim 1 , further comprising: allowing the user to select a target corpus that is a subset of a domain. | 0.867828 |
1. A method, comprising: receiving a sequence of one or more words optically or acoustically captured from a rendered document; identifying an electronic version of the rendered document based on the captured sequence of one or more words; selecting an advertising message by at least: identifying a keyword associated with the electronic version of the rendered document; determining whether the captured sequence of one or more words is located in the electronic version of the rendered document within a threshold number of words of the keyword associated with the electronic version of the rendered document; in response to determining that the captured sequence of one or more words is located in the electronic version of the rendered document within the threshold number of words of the keyword associated with the electronic version of the rendered document, selecting an advertising message related to (i) the captured sequence of one or more words and (ii) the keyword associated with the electronic version of the rendered document; and in response to determining that the captured sequence of one or more words is not located in the electronic version of the rendered document within the threshold number of words of the keyword associated with the electronic version of the rendered document, selecting an advertising message related to the captured sequence of one or more words; and providing the selected advertising message. | 1. A method, comprising: receiving a sequence of one or more words optically or acoustically captured from a rendered document; identifying an electronic version of the rendered document based on the captured sequence of one or more words; selecting an advertising message by at least: identifying a keyword associated with the electronic version of the rendered document; determining whether the captured sequence of one or more words is located in the electronic version of the rendered document within a threshold number of words of the keyword associated with the electronic version of the rendered document; in response to determining that the captured sequence of one or more words is located in the electronic version of the rendered document within the threshold number of words of the keyword associated with the electronic version of the rendered document, selecting an advertising message related to (i) the captured sequence of one or more words and (ii) the keyword associated with the electronic version of the rendered document; and in response to determining that the captured sequence of one or more words is not located in the electronic version of the rendered document within the threshold number of words of the keyword associated with the electronic version of the rendered document, selecting an advertising message related to the captured sequence of one or more words; and providing the selected advertising message. 10. The method of claim 1 , wherein the advertising message is associated with the identified electronic version of the rendered document after the rendered document is authored. | 0.590132 |
13. A device comprising: a content store to store multiple portions of protected content on the device, the device being one of multiple devices in a managed wireless distribution network that allows portions of protected content to be transferred among the multiple devices; a managed wireless distribution network system to identify the multiple portions of protected content to host on the device, the multiple portions of protected content including one or more portions of each of one or more pieces of protected content; a wireless network component to communicate with one or more other devices of the multiple devices to obtain the multiple portions of protected content and to allow each of the other devices to obtain at least one of the multiple portions of protected content regardless of whether the other device and a user of the other device has permission to consume the protected content; and a content consumption system to allow consumption of the protected content only in response to the device or a user of the device having permission to consume the protected content. | 13. A device comprising: a content store to store multiple portions of protected content on the device, the device being one of multiple devices in a managed wireless distribution network that allows portions of protected content to be transferred among the multiple devices; a managed wireless distribution network system to identify the multiple portions of protected content to host on the device, the multiple portions of protected content including one or more portions of each of one or more pieces of protected content; a wireless network component to communicate with one or more other devices of the multiple devices to obtain the multiple portions of protected content and to allow each of the other devices to obtain at least one of the multiple portions of protected content regardless of whether the other device and a user of the other device has permission to consume the protected content; and a content consumption system to allow consumption of the protected content only in response to the device or a user of the device having permission to consume the protected content. 17. The device as recited in claim 13 , the managed wireless distribution network system being further to: receive a user request to consume particular protected content at the device; determine an estimated time of delivery of the particular protected content, the estimated time of delivery comprising a time at which one or more portions of the particular protected content are estimated to be obtained by the device from one or more other devices in the managed wireless distribution network; and display the estimated time of delivery. | 0.54256 |
1. A method in a computing system, comprising: receiving a formula that, when evaluated with respect to a particular row of each of a plurality of database rows, produces a respective value for a distinguished database field of the particular row, the formula expressed as a method in a distinguished procedural programming language; transforming the formula method into a first syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, wherein the transforming is based on the distinguished procedural programming language; traversing the first syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, wherein the traversal identifies one or more prohibited language features of the distinguished procedural programming language; generating an error in relation to the identified one or more prohibited language features of the distinguished procedural programming language; receiving a modification to the formula method that excludes the prohibited language features of the distinguished procedural programming language; transforming the modified formula method into a second syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row; modifying the second syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, to provide variable context, field projection, runtimetype dynamic property accessors, and/or field path mapping; and compiling the modified second syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, into a second version of the formula method in the distinguished procedural programming language. | 1. A method in a computing system, comprising: receiving a formula that, when evaluated with respect to a particular row of each of a plurality of database rows, produces a respective value for a distinguished database field of the particular row, the formula expressed as a method in a distinguished procedural programming language; transforming the formula method into a first syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, wherein the transforming is based on the distinguished procedural programming language; traversing the first syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, wherein the traversal identifies one or more prohibited language features of the distinguished procedural programming language; generating an error in relation to the identified one or more prohibited language features of the distinguished procedural programming language; receiving a modification to the formula method that excludes the prohibited language features of the distinguished procedural programming language; transforming the modified formula method into a second syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row; modifying the second syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, to provide variable context, field projection, runtimetype dynamic property accessors, and/or field path mapping; and compiling the modified second syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, into a second version of the formula method in the distinguished procedural programming language. 11. The method of claim 1 , wherein the modifying the second syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, is performed by providing variable context, field projection, and field path mapping. | 0.55798 |
32. The apparatus of claim 31 , wherein the means for storing the collection of digital information comprises means for storing a plurality of entries in an XML format. | 32. The apparatus of claim 31 , wherein the means for storing the collection of digital information comprises means for storing a plurality of entries in an XML format. 34. The apparatus of claim 32 , wherein the means for storing the query expression comprises means for storing the expression in an XPath format. | 0.957627 |
1. A computer implemented method of creating a system of rules for use on a computer having an object-oriented data domain comprising the steps of: compiling at least one rule having a premise and an action, wherein the premise references a user-defined class upon which the rule will inference; compiling a definition for said user-defined class, such that said user-defined class inherits from a working memory element class; and binding an inference class object to a rule, adding user-defined class instances to a working memory element class, and calling an inferencing process after a rule calling sequence has been inserted in the object-oriented domain, such that said rule calling sequence defines an inference class. | 1. A computer implemented method of creating a system of rules for use on a computer having an object-oriented data domain comprising the steps of: compiling at least one rule having a premise and an action, wherein the premise references a user-defined class upon which the rule will inference; compiling a definition for said user-defined class, such that said user-defined class inherits from a working memory element class; and binding an inference class object to a rule, adding user-defined class instances to a working memory element class, and calling an inferencing process after a rule calling sequence has been inserted in the object-oriented domain, such that said rule calling sequence defines an inference class. 2. The computer-implemented method of claim 1, and further comprising the step of translating said rule to code in the language of said object-oriented language. | 0.545056 |
1. A method for conducting an expert conversation, the method comprising: constructing a knowledge database comprising a dialogue repository comprising a plurality of dialogues, each dialogue representing a framework for creating at least one expert conversation and comprising a plurality of nodes and a plurality of edges extending between pairs of nodes, by identifying a subject for each node and associating an identifying text string with each node, the identifying text string comprising the identified subject for each node; grouping the nodes by common subject; into a plurality of node groups, each node group associated with a given subject; identifying containment hierarchies among the subjects, each containment hierarchy comprising a subset relationship between a given pair of subjects; organizing the node groups in the knowledge database in accordance with the containment hierarchies; and using the dialogue repository in combination with a runtime dialogue system in communication with the knowledge database and executing on a computing system that is in communication with an expert and a user to use the knowledge database to conduct a live expert conversation between the expert and the user using the plurality of nodes in the knowledge database as turning points in the live expert conversation to prompt the exchange of information between the expert and the user, to use the exchanged information to identify appropriate edges at each node and to extend the expert conversation across the identified appropriate edges through the plurality of nodes. | 1. A method for conducting an expert conversation, the method comprising: constructing a knowledge database comprising a dialogue repository comprising a plurality of dialogues, each dialogue representing a framework for creating at least one expert conversation and comprising a plurality of nodes and a plurality of edges extending between pairs of nodes, by identifying a subject for each node and associating an identifying text string with each node, the identifying text string comprising the identified subject for each node; grouping the nodes by common subject; into a plurality of node groups, each node group associated with a given subject; identifying containment hierarchies among the subjects, each containment hierarchy comprising a subset relationship between a given pair of subjects; organizing the node groups in the knowledge database in accordance with the containment hierarchies; and using the dialogue repository in combination with a runtime dialogue system in communication with the knowledge database and executing on a computing system that is in communication with an expert and a user to use the knowledge database to conduct a live expert conversation between the expert and the user using the plurality of nodes in the knowledge database as turning points in the live expert conversation to prompt the exchange of information between the expert and the user, to use the exchanged information to identify appropriate edges at each node and to extend the expert conversation across the identified appropriate edges through the plurality of nodes. 14. The method of claim 1 , further comprising logging a history of all expert conversations in the knowledge database. | 0.613734 |
1. A device, comprising: one or more processors to: obtain a document from which specific information is to be captured, the specific information to be captured depending on a document class associated with the document, and the document being of a document type; analyze the document in order to determine a characteristic of the document; identify the document class, associated with the document, based on the characteristic of the document, the document class identifying a category of document in which the document is included, and the document class being associated with multiple document types, the multiple document types including the document type; determine field information associated with the document class, the field information including information that identifies a portion of the document where the specific information is located, or the field information including information that identifies a manner in which the specific information can be identified within the document; analyze the document, based on the field information, in order to capture the specific information from the document; provide the captured specific information; receive, based on the captured specific information being provided, a field information update for the field information associated with the document class, the field information update indicating a revised location of where the specific information is located in the document of the document type; and update the field information for the document class associated with the multiple document types based on the field information update indicating the revised location of where the specific information is located in the document of the document type. | 1. A device, comprising: one or more processors to: obtain a document from which specific information is to be captured, the specific information to be captured depending on a document class associated with the document, and the document being of a document type; analyze the document in order to determine a characteristic of the document; identify the document class, associated with the document, based on the characteristic of the document, the document class identifying a category of document in which the document is included, and the document class being associated with multiple document types, the multiple document types including the document type; determine field information associated with the document class, the field information including information that identifies a portion of the document where the specific information is located, or the field information including information that identifies a manner in which the specific information can be identified within the document; analyze the document, based on the field information, in order to capture the specific information from the document; provide the captured specific information; receive, based on the captured specific information being provided, a field information update for the field information associated with the document class, the field information update indicating a revised location of where the specific information is located in the document of the document type; and update the field information for the document class associated with the multiple document types based on the field information update indicating the revised location of where the specific information is located in the document of the document type. 4. The device of claim 1 , where the one or more processors, when analyzing the document in order to capture the specific information, are to: perform optical character recognition (OCR) on the document in order to capture the specific information, the OCR being performed in accordance with the field information. | 0.807927 |
1. A computer-implemented method comprising steps of: receiving an original question from a user; generating two or more queries based on the original question; submitting each of the two or more queries to a search engine; for each particular query of the two or more queries, receiving, from the search engine, a separate search engine result for that particular query, thereby receiving a plurality of search engine results; wherein the search engine result for each particular query corresponds to a separate document set; wherein the plurality of search engine results correspond to a plurality of document sets; generating a single concept set based on terms in documents from the plurality of search engine results; wherein the single concept set is generated by, for each search engine results in the plurality of search engine results, identifying terms in documents from the search engine results, and adding at least a subset of said terms to said single concept set; using the single concept set to determine how to respond to the original question by performing at least one of: generating a refined set of search results for the original question based on the single concept set, and returning the refined set of search results as a response to the original question; or using the single concept set to identify questions similar to the original question; wherein the steps are performed by one or more computing devices. | 1. A computer-implemented method comprising steps of: receiving an original question from a user; generating two or more queries based on the original question; submitting each of the two or more queries to a search engine; for each particular query of the two or more queries, receiving, from the search engine, a separate search engine result for that particular query, thereby receiving a plurality of search engine results; wherein the search engine result for each particular query corresponds to a separate document set; wherein the plurality of search engine results correspond to a plurality of document sets; generating a single concept set based on terms in documents from the plurality of search engine results; wherein the single concept set is generated by, for each search engine results in the plurality of search engine results, identifying terms in documents from the search engine results, and adding at least a subset of said terms to said single concept set; using the single concept set to determine how to respond to the original question by performing at least one of: generating a refined set of search results for the original question based on the single concept set, and returning the refined set of search results as a response to the original question; or using the single concept set to identify questions similar to the original question; wherein the steps are performed by one or more computing devices. 12. The method of claim 1 , wherein the step of identifying terms in documents from the search engine results comprises: ranking particular terms in a particular document within the particular document set based at least in part on an extent to which the particular terms represent an overall topic of the particular document; selecting a specified quantity of the particular terms based on said ranking; and wherein the step of adding said terms to said concept set comprises: for each and only each selected term for which there exists a Wikipedia entry that corresponds to that selected term, adding, to said concept set, a particular term that is a primary topic of that Wikipedia entry. | 0.677935 |
1. A search engine implemented within a computer device, comprising: a component to receive a user search query; a document locator to identify documents responsive to the user search query; and a decision component to: rank the identified documents, calculate a click-through rate associated with each of the identified documents, and associate, with a link to a particular one of the identified documents, a thumbnail representation of the particular document in response to calculating that the click through rate associated with the particular document is higher, by at least a threshold amount, than the click through rates associated with all other ones of the identified documents. | 1. A search engine implemented within a computer device, comprising: a component to receive a user search query; a document locator to identify documents responsive to the user search query; and a decision component to: rank the identified documents, calculate a click-through rate associated with each of the identified documents, and associate, with a link to a particular one of the identified documents, a thumbnail representation of the particular document in response to calculating that the click through rate associated with the particular document is higher, by at least a threshold amount, than the click through rates associated with all other ones of the identified documents. 2. The search engine of claim 1 , where the identified documents are web documents. | 0.833951 |
12. A system for correcting a spinal deformity, the system comprising: a first rod adapted to extend along a first side of a spine of a patient; a first anchor adapted to be fixed to a vertebra of the spine and to receive the first rod such that the first rod is secured against substantial lateral translation relative to the first anchor and the first rod is allowed to slide axially relative to the first anchor through a first pivot point and to change in at least two of pitch, yaw, and roll about the first pivot point during correction; a second anchor adapted to be fixed to a vertebra of the spine and to receive the first rod such that the first rod is secured against substantial lateral translation relative to the second anchor and is allowed to change in at least pitch and yaw about a second pivot point during correction; a second rod adapted to extend along a second side of the spine of the patient; a third anchor adapted to be fixed to a vertebra of the spine and to receive the second rod such that the second rod is secured against substantial lateral translation relative to the third anchor; a fourth anchor adapted to be fixed to a vertebra of the spine and to receive the second rod such that the second rod is secured against substantial lateral translation relative to the fourth anchor; and a lateral coupling adapted to extend laterally between the first rod and the second rod such that the lateral coupling facilitates derotation and translation of the spine, the lateral coupling comprising: an arm adapted to extend from the second side of the spine toward the first side of the spine and to receive the second rod; an adjuster adapted to be secured to the first rod; and a first connector adapted to be secured between the arm and the adjuster such that the adjuster is actuable to tension the arm toward the first rod. | 12. A system for correcting a spinal deformity, the system comprising: a first rod adapted to extend along a first side of a spine of a patient; a first anchor adapted to be fixed to a vertebra of the spine and to receive the first rod such that the first rod is secured against substantial lateral translation relative to the first anchor and the first rod is allowed to slide axially relative to the first anchor through a first pivot point and to change in at least two of pitch, yaw, and roll about the first pivot point during correction; a second anchor adapted to be fixed to a vertebra of the spine and to receive the first rod such that the first rod is secured against substantial lateral translation relative to the second anchor and is allowed to change in at least pitch and yaw about a second pivot point during correction; a second rod adapted to extend along a second side of the spine of the patient; a third anchor adapted to be fixed to a vertebra of the spine and to receive the second rod such that the second rod is secured against substantial lateral translation relative to the third anchor; a fourth anchor adapted to be fixed to a vertebra of the spine and to receive the second rod such that the second rod is secured against substantial lateral translation relative to the fourth anchor; and a lateral coupling adapted to extend laterally between the first rod and the second rod such that the lateral coupling facilitates derotation and translation of the spine, the lateral coupling comprising: an arm adapted to extend from the second side of the spine toward the first side of the spine and to receive the second rod; an adjuster adapted to be secured to the first rod; and a first connector adapted to be secured between the arm and the adjuster such that the adjuster is actuable to tension the arm toward the first rod. 14. The system of claim 12 configured such that actuation of the adjuster causes a first portion of the lateral coupling to engage with a second portion of the lateral coupling to derotate and translate the spine. | 0.508532 |
29. A non-transitory computer readable storage medium, including instructions configured to cause a processing system to execute steps for scoring speech, comprising: receiving a speech sample, wherein the speech sample is based upon speaking from a script; aligning the speech sample with the script; extracting an event recognition metric of the speech sample; detecting locations of prosodic events in the speech sample based on the event recognition metric; comparing the locations of the detected prosodic events with locations of model prosodic events, wherein the locations of model prosodic events identify expected locations of prosodic events of a fluent, native speaker speaking the script, and wherein the comparing comprises comparing a first data structure for the model prosodic events and a second data structure for the detected prosodic events, the first data structure and the second data structure including binary data per syllable representing whether or not a syllable exhibits a stress and whether or not the syllable exhibits a tone change, said comparing including comparing per syllable the binary data representing stress and the binary data representing tone change for the model prosodic events and the detected prosodic events; calculating a prosodic event metric based on the comparison; and scoring the speech sample using a scoring model based upon the prosodic event metric. | 29. A non-transitory computer readable storage medium, including instructions configured to cause a processing system to execute steps for scoring speech, comprising: receiving a speech sample, wherein the speech sample is based upon speaking from a script; aligning the speech sample with the script; extracting an event recognition metric of the speech sample; detecting locations of prosodic events in the speech sample based on the event recognition metric; comparing the locations of the detected prosodic events with locations of model prosodic events, wherein the locations of model prosodic events identify expected locations of prosodic events of a fluent, native speaker speaking the script, and wherein the comparing comprises comparing a first data structure for the model prosodic events and a second data structure for the detected prosodic events, the first data structure and the second data structure including binary data per syllable representing whether or not a syllable exhibits a stress and whether or not the syllable exhibits a tone change, said comparing including comparing per syllable the binary data representing stress and the binary data representing tone change for the model prosodic events and the detected prosodic events; calculating a prosodic event metric based on the comparison; and scoring the speech sample using a scoring model based upon the prosodic event metric. 30. The non-transitory computer readable storage medium claim 29 , wherein the received speech sample is divided into syllables or words and the syllables or words of the speech sample are aligned with the syllables or words from the script. | 0.569329 |
1. A method, comprising: receiving, from a mobile device, event data derived from contextual data collected using detectors that detect a physical context surrounding the mobile device; modifying a context graph that stores facts and assertions about a user's behavior and interests using the event data; in response to determining that there exists a registration for notification of changes that matches the modification to the context graph, sending a notification of context graph change to a recommender. | 1. A method, comprising: receiving, from a mobile device, event data derived from contextual data collected using detectors that detect a physical context surrounding the mobile device; modifying a context graph that stores facts and assertions about a user's behavior and interests using the event data; in response to determining that there exists a registration for notification of changes that matches the modification to the context graph, sending a notification of context graph change to a recommender. 2. The method of claim 1 , further comprising: receiving, from the mobile device, additional event data including application event data and/or operating system event data; modifying the context graph based on the additional event data; determining that the modification to the context graph matches the registration; and sending a second notification of context graph change to the recommender. | 0.76058 |
17. In an apparatus for displaying numerical value information, comprising: means for receiving in a coded fashion, a signal representative of multi-digit numerical value information, each digit being represented by one of a set of numerals, converting means for converting said coded multi-digit numerical value information signal into a kind of character signal for representing said coded multi-digit numerical value information in a given character form of numeral characters 0, 1, 2, 3, . . . 9, and display means responsive to said kind of character signals for displaying said multi-digit numerical value information by said given kind of character form of numeral characters, 0, 1, 2, 3, . . . 9, wherein said display means comprises multi-digit display positions and each digit numeral is displayed in each corresponding digit display position, the improvement comprising at least one further display means for displaying said numerical value information selectively in a form distinct from said given kind of character form, and wherein said converting means is adapted to convert said multi-digit numerical value information signal into a plurality of different kinds of character signals for representing said coded multi-digit numerical value information in a corresponding plurality of different kinds of character forms of numeral characters 0, 1, 2, 3, . . . 9, and wherein said display means and said at least one further display means are adapted to be responsive, respectively, to said different kinds of character signals to display said multi-digit numerical value information respectively by corresponding said different kinds of character forms of numeral characters 0, 1, 2, 3, . . . 9, which are different in character forms. | 17. In an apparatus for displaying numerical value information, comprising: means for receiving in a coded fashion, a signal representative of multi-digit numerical value information, each digit being represented by one of a set of numerals, converting means for converting said coded multi-digit numerical value information signal into a kind of character signal for representing said coded multi-digit numerical value information in a given character form of numeral characters 0, 1, 2, 3, . . . 9, and display means responsive to said kind of character signals for displaying said multi-digit numerical value information by said given kind of character form of numeral characters, 0, 1, 2, 3, . . . 9, wherein said display means comprises multi-digit display positions and each digit numeral is displayed in each corresponding digit display position, the improvement comprising at least one further display means for displaying said numerical value information selectively in a form distinct from said given kind of character form, and wherein said converting means is adapted to convert said multi-digit numerical value information signal into a plurality of different kinds of character signals for representing said coded multi-digit numerical value information in a corresponding plurality of different kinds of character forms of numeral characters 0, 1, 2, 3, . . . 9, and wherein said display means and said at least one further display means are adapted to be responsive, respectively, to said different kinds of character signals to display said multi-digit numerical value information respectively by corresponding said different kinds of character forms of numeral characters 0, 1, 2, 3, . . . 9, which are different in character forms. 18. In an apparatus in accordance with claim 17, which further comprises means for selectively withdrawing one of said different kinds of character signals for representing said coded multi-digit numerical value information by one of said different kinds of character forms of numeral characters, 0, 1, 2, 3, . . . 9, respectively, and wherein said display means is adapted to display said multi-digit numerical value information by said selected one character form of said different kinds of character forms of numeral characters 0, 1, 2, 3, . . . 9. | 0.563054 |
1. A method for producing a lottery product providing a story, the method comprising: printing a first page that embodies a first instant game, the first page including a first removable covering concealing a first element of a story, and the first page being associated with a first predetermined sub-payout, and the first page indicating a first predetermined running value of the lottery product; printing a second page that embodies a second instant game, the second page including a second removable covering concealing a second element of the story, and the second page being associated with a second predetermined sub-payout, and the second page indicating a second predetermined running value of the lottery product, the second predetermined running value being based on the first predetermined sub-payout and the second predetermined sub-payout; printing a table that (1) identifies a third element of the story and indicates a first potential prize for the first instant game if the third element matches the first element and (2) identifies a fourth element of the story and indicates a second potential prize for the second instant game if the fourth element matches the second element; and assembling the first page, the second page, and the table into a lottery product. | 1. A method for producing a lottery product providing a story, the method comprising: printing a first page that embodies a first instant game, the first page including a first removable covering concealing a first element of a story, and the first page being associated with a first predetermined sub-payout, and the first page indicating a first predetermined running value of the lottery product; printing a second page that embodies a second instant game, the second page including a second removable covering concealing a second element of the story, and the second page being associated with a second predetermined sub-payout, and the second page indicating a second predetermined running value of the lottery product, the second predetermined running value being based on the first predetermined sub-payout and the second predetermined sub-payout; printing a table that (1) identifies a third element of the story and indicates a first potential prize for the first instant game if the third element matches the first element and (2) identifies a fourth element of the story and indicates a second potential prize for the second instant game if the fourth element matches the second element; and assembling the first page, the second page, and the table into a lottery product. 10. The method of claim 1 , in which the first predetermined sub-payout is a negative value, and the second predetermined sub-payout is not a negative value. | 0.631401 |
26. A system for searching messages, comprising: one or more servers, each having one or more processors and memory storing one or more programs for execution by the one or more processors, the one or more programs including: instructions for searching a message repository to identify conversations relevant to a search query, wherein each conversation in a subset of the identified conversations includes a plurality of messages, the messages sharing a common set of characteristics that meet predefined criteria independent of the search query, wherein the predefined criteria include a subject of the one or more messages and information other than the subject of the one or more messages; instructions for creating a list of conversations representing at least a subset of the identified conversations, each conversation in the list being represented as a single item in the list of conversations, at least one of the conversations in the list comprising two or more electronic messages from distinct senders; instructions for identifying, for each conversation in the list of conversations, a portion of conversation content relevant to at least one search term of the search query; and instructions for producing, for concurrent display at a client, a search result including at least the list of conversations, and the identified portion of conversation content for each conversation in the list of conversations. | 26. A system for searching messages, comprising: one or more servers, each having one or more processors and memory storing one or more programs for execution by the one or more processors, the one or more programs including: instructions for searching a message repository to identify conversations relevant to a search query, wherein each conversation in a subset of the identified conversations includes a plurality of messages, the messages sharing a common set of characteristics that meet predefined criteria independent of the search query, wherein the predefined criteria include a subject of the one or more messages and information other than the subject of the one or more messages; instructions for creating a list of conversations representing at least a subset of the identified conversations, each conversation in the list being represented as a single item in the list of conversations, at least one of the conversations in the list comprising two or more electronic messages from distinct senders; instructions for identifying, for each conversation in the list of conversations, a portion of conversation content relevant to at least one search term of the search query; and instructions for producing, for concurrent display at a client, a search result including at least the list of conversations, and the identified portion of conversation content for each conversation in the list of conversations. 27. The system of claim 26 , wherein the one or more programs further comprise: instructions for identifying within the identified conversation content portion first text relevant to the search query; instructions for identifying within the identified conversation content portion second text which surrounds the first text; and instructions for including the first text and second text in the search result. | 0.544662 |
10. The computer storage media of claim 9 , wherein the method further comprises utilizing the probability information to determine whether a word in the set that has alternates associated therewith will be considered as having alternates associated therewith for purposes of modifying the display. | 10. The computer storage media of claim 9 , wherein the method further comprises utilizing the probability information to determine whether a word in the set that has alternates associated therewith will be considered as having alternates associated therewith for purposes of modifying the display. 11. The computer storage media of claim 10 , wherein the user provides data corresponding to a sensitivity level for determining from the probability information whether a word will be considered as having alternates associated therewith. | 0.905271 |
11. A program product comprising a non-transitory computer readable storage media having encoded thereon computer executable instructions comprising: first program instructions for monitoring user activity over a communication network; second program instructions for identifying interests for users based on network activity; third program instructions for creating semantic networks of a user's interests based on the user's use of the communication network; and fourth program instructions for identifying other users with common interests by comparing the users' respective semantic networks. | 11. A program product comprising a non-transitory computer readable storage media having encoded thereon computer executable instructions comprising: first program instructions for monitoring user activity over a communication network; second program instructions for identifying interests for users based on network activity; third program instructions for creating semantic networks of a user's interests based on the user's use of the communication network; and fourth program instructions for identifying other users with common interests by comparing the users' respective semantic networks. 13. The program product of claim 11 , wherein the program instructions for identifying interests comprise: determining relevance of content viewed over the network. | 0.563636 |
4. The method of claim 1 further comprising presenting both the road symbol and the action symbol while travel is occurring. | 4. The method of claim 1 further comprising presenting both the road symbol and the action symbol while travel is occurring. 5. The method of claim 4 wherein a navigation system capable of determining geographic location is used to present the road symbol and the action symbol to describe the particular maneuver. | 0.907136 |
1. A method comprising: scanning, by a client-side module executing on a computing device, a Document Object Model (DOM) of a first web page displayed by a browser on a display of the computing device to determine a location of a primary search query user input area associated with the first web page; determining, by the client-side module, that a search query has been entered by a user into the primary search query user input area; in response to the determining, automatically entering, by the client-side module, the search query entered by the user into the primary search query user input area into a secondary search query user input area associated with a predetermined second web page, the second web page determined by the client-side module based on web browsing history of the user; displaying in a first content area of the browser the result of a search performed by a search tool represented by the first web page on the search query; and displaying in a second content area of the browser the result of a search performed by a search tool represented by the second web page on the search query. | 1. A method comprising: scanning, by a client-side module executing on a computing device, a Document Object Model (DOM) of a first web page displayed by a browser on a display of the computing device to determine a location of a primary search query user input area associated with the first web page; determining, by the client-side module, that a search query has been entered by a user into the primary search query user input area; in response to the determining, automatically entering, by the client-side module, the search query entered by the user into the primary search query user input area into a secondary search query user input area associated with a predetermined second web page, the second web page determined by the client-side module based on web browsing history of the user; displaying in a first content area of the browser the result of a search performed by a search tool represented by the first web page on the search query; and displaying in a second content area of the browser the result of a search performed by a search tool represented by the second web page on the search query. 3. The method of claim 1 further comprising determining, by the client-side module, an intent of the user when the user enters the search query into the primary search query user input area. | 0.616919 |
11. An information storage medium having a plurality of instructions adapted to direct an information processing device for mapping database object types to structural language type definition code, wherein user code is added to the structural language type definition code for the object types, the information storage medium comprising: code for parsing one or more database object types; code for re-generating structural language type definition code for the one or more database object types; code for determining positioning information indicating a position in the structural language type definition code of user code in the structural language type definition code; code for determining the position in the regenerated structural language type definition code based on the positioning information; code for determining whether user code should be inserted in the regenerated structural language type definition code; and code for, based on a determination that the user code should be inserted, inserting the user code in the regenerated structural language type definition code, wherein the inserted user code is positioned corresponding to the user code in the structural language type definition code. | 11. An information storage medium having a plurality of instructions adapted to direct an information processing device for mapping database object types to structural language type definition code, wherein user code is added to the structural language type definition code for the object types, the information storage medium comprising: code for parsing one or more database object types; code for re-generating structural language type definition code for the one or more database object types; code for determining positioning information indicating a position in the structural language type definition code of user code in the structural language type definition code; code for determining the position in the regenerated structural language type definition code based on the positioning information; code for determining whether user code should be inserted in the regenerated structural language type definition code; and code for, based on a determination that the user code should be inserted, inserting the user code in the regenerated structural language type definition code, wherein the inserted user code is positioned corresponding to the user code in the structural language type definition code. 15. The information storage medium of claim 11 , further comprising code for determining a hint indicating that the user code may be associated with a position in the structural language type definition code for a different object type. | 0.573896 |
1. A method of analyzing a text documenting a patient encounter, the method comprising: extracting from a first portion of the text, using a fact extraction component implemented via at least one processor, a first set of one or more medical facts representing one or more abstract semantic concepts; receiving information identifying a change made by a user to the first set of medical facts extracted from the first portion of the text, wherein the information identifying the change identifies at least one user-specified abstract semantic concept; updating the fact extraction component based on the at least one user-specified abstract semantic concept and the first portion of the text, wherein the updating comprises: identifying features included in the first portion of the text, the features including one or more tokens and/or one or more N-grams appearing in the first portion of the text; identifying, from among the features identified in the first portion of the text, a first set of features to associate with the at least one user-specified abstract semantic concept, the first set of features including one or more features, the one or more features of the first set including one or more tokens and/or one or more N-grams; and updating the fact extraction component to associate the first set of features with the at least one user-specified abstract semantic concept; and extracting, using the fact extraction component following the updating and using the at least one processor, a second set of one or more medical facts from a second portion of the text, wherein extracting the second set comprises, in response to identifying in the second portion of the text a second set of features corresponding to the first set of features, extracting from the second portion of the text one or more facts corresponding to the at least one user-specified abstract semantic concept, the second set of features including one or more features. | 1. A method of analyzing a text documenting a patient encounter, the method comprising: extracting from a first portion of the text, using a fact extraction component implemented via at least one processor, a first set of one or more medical facts representing one or more abstract semantic concepts; receiving information identifying a change made by a user to the first set of medical facts extracted from the first portion of the text, wherein the information identifying the change identifies at least one user-specified abstract semantic concept; updating the fact extraction component based on the at least one user-specified abstract semantic concept and the first portion of the text, wherein the updating comprises: identifying features included in the first portion of the text, the features including one or more tokens and/or one or more N-grams appearing in the first portion of the text; identifying, from among the features identified in the first portion of the text, a first set of features to associate with the at least one user-specified abstract semantic concept, the first set of features including one or more features, the one or more features of the first set including one or more tokens and/or one or more N-grams; and updating the fact extraction component to associate the first set of features with the at least one user-specified abstract semantic concept; and extracting, using the fact extraction component following the updating and using the at least one processor, a second set of one or more medical facts from a second portion of the text, wherein extracting the second set comprises, in response to identifying in the second portion of the text a second set of features corresponding to the first set of features, extracting from the second portion of the text one or more facts corresponding to the at least one user-specified abstract semantic concept, the second set of features including one or more features. 2. The method of claim 1 , wherein: the at least one user-specified abstract semantic concept corresponds to a particular fact type, and extracting the second set of facts comprises labeling one or more tokens in the second portion of the text as corresponding to the particular fact type. | 0.599053 |
8. A system, comprising: a memory storing instructions; and at least one processor, operably coupled to the memory, implemented at least in part in hardware, and configured to execute the instructions to perform a method comprising: receiving, from a user, a string of characters; determining components of the string of characters, wherein the components of the string of characters comprise one or more graphemes that are related in the string of characters; determining universal phonetic representations for the components of the string of characters; determining pronunciations for the universal phonetic representations; constructing a pronunciation of the string of characters based at least partially on the pronunciations of the universal phonetic representations; sending, to the user, a sound file representing the pronunciation of the string of characters; receiving a user sound file created by the user using a microphone, the user sound file representing a custom pronunciation associated with a subset of the universal phonetic representations corresponding to a portion of the pronunciation of the string of characters; constructing a new pronunciation of the string of characters based at least partially on the pronunciations for the universal phonetic representations and the custom pronunciation associated with the subset of the universal phonetic representations; and sending, to the user, a new sound file representing the new pronunciation of the string of characters, wherein the new sound file comprises a combination of a portion of the sound file representing the pronunciation of the string of characters and the user sound file. | 8. A system, comprising: a memory storing instructions; and at least one processor, operably coupled to the memory, implemented at least in part in hardware, and configured to execute the instructions to perform a method comprising: receiving, from a user, a string of characters; determining components of the string of characters, wherein the components of the string of characters comprise one or more graphemes that are related in the string of characters; determining universal phonetic representations for the components of the string of characters; determining pronunciations for the universal phonetic representations; constructing a pronunciation of the string of characters based at least partially on the pronunciations of the universal phonetic representations; sending, to the user, a sound file representing the pronunciation of the string of characters; receiving a user sound file created by the user using a microphone, the user sound file representing a custom pronunciation associated with a subset of the universal phonetic representations corresponding to a portion of the pronunciation of the string of characters; constructing a new pronunciation of the string of characters based at least partially on the pronunciations for the universal phonetic representations and the custom pronunciation associated with the subset of the universal phonetic representations; and sending, to the user, a new sound file representing the new pronunciation of the string of characters, wherein the new sound file comprises a combination of a portion of the sound file representing the pronunciation of the string of characters and the user sound file. 12. The system of claim 8 , wherein the string of characters corresponds to a domain name. | 0.637019 |
1. A method for accessing variables in an application performed by a computing system comprising one or more processors, the method comprising: accessing application source code associated with an application; parsing the application source code to identify a set of variables, the parsing comprising distinguishing variables from other programming constructs; for each variable from the set of variables: determining a variable type of the variable; in response to determining that the variable type is a complex variable, parsing the complex variable; in response to determining that the variable is associated with a database, resolving a variable name and determining whether the variable exists in a data dictionary associated with the database; determining metadata associated with the variable based, at least in part, on the variable type; providing an identity of the variable and the metadata for the variable to a user interface thereby enabling a user to access the variable; accessing test code for the application source code; identifying, for each variable from the set of variables, an expected variable type for the variable based on the test code; determining whether the variable type of each variable matches the expected variable type for the variable; in response to determining that the variable type of each variable matches the expected variable type for the variable, executing the test code for the application source code; and in response to determining that the variable type of each variable does not match the expected variable type for the variable: identifying modifications to the test code; regenerating test code with the identified modifications; and executing the regenerated test code. | 1. A method for accessing variables in an application performed by a computing system comprising one or more processors, the method comprising: accessing application source code associated with an application; parsing the application source code to identify a set of variables, the parsing comprising distinguishing variables from other programming constructs; for each variable from the set of variables: determining a variable type of the variable; in response to determining that the variable type is a complex variable, parsing the complex variable; in response to determining that the variable is associated with a database, resolving a variable name and determining whether the variable exists in a data dictionary associated with the database; determining metadata associated with the variable based, at least in part, on the variable type; providing an identity of the variable and the metadata for the variable to a user interface thereby enabling a user to access the variable; accessing test code for the application source code; identifying, for each variable from the set of variables, an expected variable type for the variable based on the test code; determining whether the variable type of each variable matches the expected variable type for the variable; in response to determining that the variable type of each variable matches the expected variable type for the variable, executing the test code for the application source code; and in response to determining that the variable type of each variable does not match the expected variable type for the variable: identifying modifications to the test code; regenerating test code with the identified modifications; and executing the regenerated test code. 8. The method of claim 1 , wherein the application source code comprises a subset of the source code of the application. | 0.567775 |
15. A non-transitory computer-readable recording medium that stores a display program executable by a computer in an electronic apparatus, the display program comprising: first program code that causes the computer to store content to be displayed on a touch panel in a content storage unit in different languages; second program code that causes the computer to store a selected language in a selected language storage unit; third program code that causes the computer to display, on the touch panel, content corresponding to the selected language stored in the selected language storage unit, of pieces of content stored in the content storage unit in the languages; fourth program code that causes the computer to display a first language selection screen including items corresponding to regions of the world on the touch panel if a particular operation is accepted in a non-explicit area other than an explicit area that is explicitly indicated as being ready for accepting an operation, the first language selection screen being one of screens displayed on the touch panel; fifth program code that causes, when any one of the items is specified out of the items on the first selection screen, the computer to display a second language selection screen including a region corresponding to the specified item and items corresponding to each of the languages corresponding to the specified item and gray out one or more items on the first language selection screen other than the specified item; and sixth program code that causes the computer to store, in the selected language storage unit, a language selected by an operation accepted on the second language selection screen displayed on the touch panel. | 15. A non-transitory computer-readable recording medium that stores a display program executable by a computer in an electronic apparatus, the display program comprising: first program code that causes the computer to store content to be displayed on a touch panel in a content storage unit in different languages; second program code that causes the computer to store a selected language in a selected language storage unit; third program code that causes the computer to display, on the touch panel, content corresponding to the selected language stored in the selected language storage unit, of pieces of content stored in the content storage unit in the languages; fourth program code that causes the computer to display a first language selection screen including items corresponding to regions of the world on the touch panel if a particular operation is accepted in a non-explicit area other than an explicit area that is explicitly indicated as being ready for accepting an operation, the first language selection screen being one of screens displayed on the touch panel; fifth program code that causes, when any one of the items is specified out of the items on the first selection screen, the computer to display a second language selection screen including a region corresponding to the specified item and items corresponding to each of the languages corresponding to the specified item and gray out one or more items on the first language selection screen other than the specified item; and sixth program code that causes the computer to store, in the selected language storage unit, a language selected by an operation accepted on the second language selection screen displayed on the touch panel. 16. The non-transitory computer-readable recording medium according to claim 15 , the display program further comprising seventh program code that causes, when displaying at least one of the first language selection screen and the second language selection screen on the touch panel, the computer to gray out a screen that had been displayed on the touch panel before the first language selection screen has been displayed. | 0.610612 |
1. A computer implemented method, comprising: identifying that each of a plurality of documents are mature based on one or more signals associated with the documents; in response to identifying the documents as mature: storing, via one or more networks, edits to the documents in at least one database for defining edit rules based on the edits, wherein the edits are from a plurality of users and are made via user interface input provided via applications executing on computing devices of the users, wherein each of the edits identifies one of a plurality of pre-edit phrases and an associated one of a plurality of post-edit phrases, and wherein each of a plurality of the edits is based on a user implemented change of the one of the pre-edit phrases to the one of the post-edit phrases in one of the plurality of mature documents; determining an edit rule pre-edit phrase based on a set of one or more of the pre-edit phrases identified by the edits; determining one or more edit rule post-edit phrases based on one or more of the post-edit phrases associated with the set of the one or more pre-edit phrases; defining an edit rule that associates the edit rule pre-edit phrase with the edit rule post-edit phrases; storing the edit rule for automatically determining, for a future phrase conforming to the edit rule pre-edit phrase, a rephrasing of the future phrase based on at least one of the edit rule post-edit phrases; after storing the edit rule: identifying a current document being edited by a given user via a given application of a given computing device of the given user, identifying that a given phrase in the current document conforms to the edit rule pre-edit phrase of the edit rule, in response to identifying that the given phrase conforms to the edit rule pre-edit phrase, determining a candidate rephrasing of the given phrase based on the edit rule, the determining comprising determining the candidate rephrasing based on a given one of the edit rule post-edit phrases of the edit rule, in response to user interface input provided at the given computing device, providing the candidate rephrasing of the given phrase for presentation to the user. | 1. A computer implemented method, comprising: identifying that each of a plurality of documents are mature based on one or more signals associated with the documents; in response to identifying the documents as mature: storing, via one or more networks, edits to the documents in at least one database for defining edit rules based on the edits, wherein the edits are from a plurality of users and are made via user interface input provided via applications executing on computing devices of the users, wherein each of the edits identifies one of a plurality of pre-edit phrases and an associated one of a plurality of post-edit phrases, and wherein each of a plurality of the edits is based on a user implemented change of the one of the pre-edit phrases to the one of the post-edit phrases in one of the plurality of mature documents; determining an edit rule pre-edit phrase based on a set of one or more of the pre-edit phrases identified by the edits; determining one or more edit rule post-edit phrases based on one or more of the post-edit phrases associated with the set of the one or more pre-edit phrases; defining an edit rule that associates the edit rule pre-edit phrase with the edit rule post-edit phrases; storing the edit rule for automatically determining, for a future phrase conforming to the edit rule pre-edit phrase, a rephrasing of the future phrase based on at least one of the edit rule post-edit phrases; after storing the edit rule: identifying a current document being edited by a given user via a given application of a given computing device of the given user, identifying that a given phrase in the current document conforms to the edit rule pre-edit phrase of the edit rule, in response to identifying that the given phrase conforms to the edit rule pre-edit phrase, determining a candidate rephrasing of the given phrase based on the edit rule, the determining comprising determining the candidate rephrasing based on a given one of the edit rule post-edit phrases of the edit rule, in response to user interface input provided at the given computing device, providing the candidate rephrasing of the given phrase for presentation to the user. 15. The method of claim 1 , wherein the edit rule pre-edit phrase includes one or more category identifiers, each of the category identifiers indicating one of: a part of speech, a category of entities, and a set of terms. | 0.579893 |
13. The computer program product as set forth in claim 9 wherein the program instructions further comprise program instructions for: aggregating user ratings from the same user across three or more different electronic texts; cross-referencing one or more elements across the three or more different electronic texts to infer commonalities and distinctions; inferring one or more literary elements the user is inclined to enjoy according to the aggregated user ratings according to the commonalities, or according to the distinctions, or according to both the commonalities and the distinctions; and designating one or more of the three or more different electronic texts with a likely user rating. | 13. The computer program product as set forth in claim 9 wherein the program instructions further comprise program instructions for: aggregating user ratings from the same user across three or more different electronic texts; cross-referencing one or more elements across the three or more different electronic texts to infer commonalities and distinctions; inferring one or more literary elements the user is inclined to enjoy according to the aggregated user ratings according to the commonalities, or according to the distinctions, or according to both the commonalities and the distinctions; and designating one or more of the three or more different electronic texts with a likely user rating. 14. The computer program product as set forth in claim 13 wherein the program instructions for extracting, identifying and abstracting are repeated for a plurality of different electronic texts forms an electronic model for each different electronic text, each model having a plurality of abstraction levels, and wherein the cross-referencing comprises overlaying cross-sections within topographical nodes of two or more of the electronic models. | 0.863489 |
15. A server comprising: a communication interface for communication with an electronic device via a communication network; a processor operationally connected with the communication interface, the processor configured to: receive, from the electronic device via the communication network, an indication of a first word; receive a first service response comprising a first definition set from a first source, the first definition set being based on the first word; receive a second service response comprising a second definition set from a second source, the second definition set being based on the first word; parse the first definition set to obtain individual first set words; parse the second definition set to obtain individual second set words; organize the individual first set words into at least one definition cluster; responsive to at least one of the individual second set words matching any one of the individual first set words, merge at least a portion of the individual second set words with the first cluster, the first cluster comprising a merged definition set being distinct from the first and second definition sets; responsive to at least one of the individual second set words not matching any of the individual first set words, merge at least a portion of the individual second set words with a second cluster, the second cluster being distinct from the first cluster; cause, over the communication network, the electronic device to display on a screen of the electronic device to the user both the first cluster and the second cluster as definitions of the first word, the first cluster and the second cluster being visually distinct when displayed on the screen. | 15. A server comprising: a communication interface for communication with an electronic device via a communication network; a processor operationally connected with the communication interface, the processor configured to: receive, from the electronic device via the communication network, an indication of a first word; receive a first service response comprising a first definition set from a first source, the first definition set being based on the first word; receive a second service response comprising a second definition set from a second source, the second definition set being based on the first word; parse the first definition set to obtain individual first set words; parse the second definition set to obtain individual second set words; organize the individual first set words into at least one definition cluster; responsive to at least one of the individual second set words matching any one of the individual first set words, merge at least a portion of the individual second set words with the first cluster, the first cluster comprising a merged definition set being distinct from the first and second definition sets; responsive to at least one of the individual second set words not matching any of the individual first set words, merge at least a portion of the individual second set words with a second cluster, the second cluster being distinct from the first cluster; cause, over the communication network, the electronic device to display on a screen of the electronic device to the user both the first cluster and the second cluster as definitions of the first word, the first cluster and the second cluster being visually distinct when displayed on the screen. 18. The server of claim 15 , wherein the second definition set includes a definition portion and at least one auxiliary portion. | 0.612534 |
1. A computer-implemented method for determining probable meanings of inputted search query terms, the method comprising: receiving an input of at least one search query word by a networked server; determining a probable meaning of the at least one word by a processor of the networked server in accordance with a prior probability and a context frequency probability of probable meanings of the word, wherein the context frequency probability consists of the meaning of the word in a context of a plurality of terms immediately preceding or immediately following the word, wherein the prior probability comprises a probability that the word refers to a predetermined meaning irregardless of a query context in which the word is used, which prior probability is derived from previous analysis of documents containing the word, wherein determining the probable meaning comprises: estimating an expected final probability for the at least one word given the prior probability of the at least one word; deriving an inverse combine function that uses the prior probability and the expected final probability to determine the context frequency probability of the at least one word; using a combine mathematical function to combine the prior probability and the context frequency probability to produce a final probability of the probable meaning of the at least one search query word; and using the final probability of the probable meaning of the at least one word by the networked server to influence search results returned in response to the inputted at least one word. | 1. A computer-implemented method for determining probable meanings of inputted search query terms, the method comprising: receiving an input of at least one search query word by a networked server; determining a probable meaning of the at least one word by a processor of the networked server in accordance with a prior probability and a context frequency probability of probable meanings of the word, wherein the context frequency probability consists of the meaning of the word in a context of a plurality of terms immediately preceding or immediately following the word, wherein the prior probability comprises a probability that the word refers to a predetermined meaning irregardless of a query context in which the word is used, which prior probability is derived from previous analysis of documents containing the word, wherein determining the probable meaning comprises: estimating an expected final probability for the at least one word given the prior probability of the at least one word; deriving an inverse combine function that uses the prior probability and the expected final probability to determine the context frequency probability of the at least one word; using a combine mathematical function to combine the prior probability and the context frequency probability to produce a final probability of the probable meaning of the at least one search query word; and using the final probability of the probable meaning of the at least one word by the networked server to influence search results returned in response to the inputted at least one word. 19. The method of claim 1 , wherein the combine mathematical function comprises a · b a · b + ( 1 - a ) ( 1 - b ) , where a comprises the prior probability and b comprises the context frequency probability. | 0.573139 |
1. A computer-implemented method for associating an electronic image document with a concept, comprising: receiving one or more search queries; for each query, identifying a plurality of image electronic documents associated with a given search query where a given image electronic document is to be associated with a given query based at least in part on the query being resolved to and responsive to the submitted query forming part of a responsive search result and providing a listing of the plurality of documents as a search result; receiving a user indication of a selection of one or more of the identified documents responsive to a presentation of the search result; automatically identifying one or more concepts derived from the search query and one or more electronic image documents that were provided as being responsive to the search query based at least in part on the prior selection of the electronic image documents after presentation as search results; creating and storing, using at least one processor, an association between at least one of the one or more electronic image documents and concepts associated with the one or more electronic image documents; after storing the association, receiving a new query for electronic image documents independently of receipt of the one or more queries used to derive the concept associated with the one or more electronic image documents; determining that the image document query is related to the concept derived from the stored one or more queries that are associated with the one or more electronic image documents; and identifying at least one of the one or more electronic image documents as satisfying the image document query based upon determining that the image document query is related to the concept. | 1. A computer-implemented method for associating an electronic image document with a concept, comprising: receiving one or more search queries; for each query, identifying a plurality of image electronic documents associated with a given search query where a given image electronic document is to be associated with a given query based at least in part on the query being resolved to and responsive to the submitted query forming part of a responsive search result and providing a listing of the plurality of documents as a search result; receiving a user indication of a selection of one or more of the identified documents responsive to a presentation of the search result; automatically identifying one or more concepts derived from the search query and one or more electronic image documents that were provided as being responsive to the search query based at least in part on the prior selection of the electronic image documents after presentation as search results; creating and storing, using at least one processor, an association between at least one of the one or more electronic image documents and concepts associated with the one or more electronic image documents; after storing the association, receiving a new query for electronic image documents independently of receipt of the one or more queries used to derive the concept associated with the one or more electronic image documents; determining that the image document query is related to the concept derived from the stored one or more queries that are associated with the one or more electronic image documents; and identifying at least one of the one or more electronic image documents as satisfying the image document query based upon determining that the image document query is related to the concept. 3. The method of claim 1 , wherein each association comprises a selection of one of the one or more image documents from among a plurality of image documents associated with one of the one or more queries by one of the one or more users. | 0.545346 |
1. A method comprising: receiving, by a processor of a system, a policy-based Extensible Markup Language (XML) workflow comprising multiple policy nodes and multiple condition nodes, the multiple policy nodes and multiple condition nodes accessible through a common input point in the first policy-based XML workflow; parsing, by the processor, the policy-based XML workflow to construct a policy control flow graph for the policy-based XML workflow; identifying, by the processor, multiple workflow subpaths in the policy control flow graph; identifying subpath constraints for traversing the workflow subpaths in the policy control flow graph; determining, by the processor, path constraints for a selected path in the policy control flow graph by: determining constituent subpaths from among the workflow subpaths that together traverse the selected path in the policy control flow graph; and determining the path constraints for the selected path by collecting those subpath constraints for traversing the constituent subpaths that traverse the selected path; generating, with the processor, a set of test inputs for the policy-based XML workflow responsive to the path constraints for the selected path, where the set of test inputs, when input into the policy-based XML workflow, cause the policy-based XML workflow to traverse the selected path in the policy control flow graph; and storing, by the processor, the generated set of test inputs in a memory of the system. | 1. A method comprising: receiving, by a processor of a system, a policy-based Extensible Markup Language (XML) workflow comprising multiple policy nodes and multiple condition nodes, the multiple policy nodes and multiple condition nodes accessible through a common input point in the first policy-based XML workflow; parsing, by the processor, the policy-based XML workflow to construct a policy control flow graph for the policy-based XML workflow; identifying, by the processor, multiple workflow subpaths in the policy control flow graph; identifying subpath constraints for traversing the workflow subpaths in the policy control flow graph; determining, by the processor, path constraints for a selected path in the policy control flow graph by: determining constituent subpaths from among the workflow subpaths that together traverse the selected path in the policy control flow graph; and determining the path constraints for the selected path by collecting those subpath constraints for traversing the constituent subpaths that traverse the selected path; generating, with the processor, a set of test inputs for the policy-based XML workflow responsive to the path constraints for the selected path, where the set of test inputs, when input into the policy-based XML workflow, cause the policy-based XML workflow to traverse the selected path in the policy control flow graph; and storing, by the processor, the generated set of test inputs in a memory of the system. 7. The method of claim 1 , further comprising: accessing, through the processor, a test oracle for the policy-based XML workflow, the testing oracle specifies an expected result for the test inputs; testing, through the processor, the policy-based XML workflow using the set of test inputs to obtain a measured result for the test inputs; and comparing, through the processor, the measured result to the expected result to identify a difference among versions of the policy-based XML workflow. | 0.555802 |
8. The method of claim 7 wherein said select image portion identified by a mouse-over gesture is expanded in response to a passage of time. | 8. The method of claim 7 wherein said select image portion identified by a mouse-over gesture is expanded in response to a passage of time. 9. The method of claim 8 wherein said expansion includes additional elements within proximity to the mouse-over gesture. | 0.951406 |
2. The method according to claim 1 , and comprising setting a confidence level responsively to the number of the instances accepted by the reviewer. | 2. The method according to claim 1 , and comprising setting a confidence level responsively to the number of the instances accepted by the reviewer. 3. The method according to claim 2 , wherein automatically processing the software code comprises generating at least some of the comments responsively to the confidence level. | 0.878933 |
1. A method for providing per-user aggregation of content accessible via a personalized user site comprising: receiving a request for metadata; determining whether the requested metadata is expired; returning at least a portion of queried metadata prior to verifying whether the metadata is expired; querying a change log for metadata modifications; if metadata has been modified since a previous query, sending a query to a community site for metadata that meets change criteria; receiving the changed metadata; and returning the changed metadata to a content group container within the personalized user site. | 1. A method for providing per-user aggregation of content accessible via a personalized user site comprising: receiving a request for metadata; determining whether the requested metadata is expired; returning at least a portion of queried metadata prior to verifying whether the metadata is expired; querying a change log for metadata modifications; if metadata has been modified since a previous query, sending a query to a community site for metadata that meets change criteria; receiving the changed metadata; and returning the changed metadata to a content group container within the personalized user site. 7. The method of claim 1 , wherein receiving the changed metadata includes receiving the changed metadata from at least one data site within the community site. | 0.72193 |
1. A patient problem data system for storing and retrieving data representing a plurality of different patient problems for use in providing healthcare to a patient, comprising: at least one computer system including, an acquisition processor for acquiring data representing a patient problem for storage in a repository and a patient problem comprises a human condition needing treatment or management; at least one repository, electrically coupled to said acquisition processor, including data representing a plurality of different patient problems and an individual problem has a problem name and is characterized by problem attributes and an individual problem attribute has a plurality of attribute properties determining how a problem attribute is represented, said problem attributes including, a focus term indicating a topic of the patient problem, a patient problem likelihood term indicating an assessment of likelihood of the associated corresponding patient problem and a client term indicating at least one target person for care, said attribute properties including, a format attribute property indicating a format constraint of a problem attribute and determining formatting or presentation of said problem attribute and a content attribute property indicating a content constraint of said problem attribute and determining modification of said problem attribute; and a retrieval processor, electrically coupled to said at least one repository, for retrieving data representing at least one patient problem from said at least one repository and communication of said problem attributes to a destination system for determining the manner in which the destination system uses the patient problem data. | 1. A patient problem data system for storing and retrieving data representing a plurality of different patient problems for use in providing healthcare to a patient, comprising: at least one computer system including, an acquisition processor for acquiring data representing a patient problem for storage in a repository and a patient problem comprises a human condition needing treatment or management; at least one repository, electrically coupled to said acquisition processor, including data representing a plurality of different patient problems and an individual problem has a problem name and is characterized by problem attributes and an individual problem attribute has a plurality of attribute properties determining how a problem attribute is represented, said problem attributes including, a focus term indicating a topic of the patient problem, a patient problem likelihood term indicating an assessment of likelihood of the associated corresponding patient problem and a client term indicating at least one target person for care, said attribute properties including, a format attribute property indicating a format constraint of a problem attribute and determining formatting or presentation of said problem attribute and a content attribute property indicating a content constraint of said problem attribute and determining modification of said problem attribute; and a retrieval processor, electrically coupled to said at least one repository, for retrieving data representing at least one patient problem from said at least one repository and communication of said problem attributes to a destination system for determining the manner in which the destination system uses the patient problem data. 12. A system according to claim 1 , wherein said attribute properties include processing attribute properties comprising an indication an attribute value may be overridden. | 0.580576 |
8. The computer program product of claim 7 , wherein said computer usable program code for linking each of said temporary documents to said portal page comprises computer usable program code for inserting a plurality of hidden frames in said portal page, each of said hidden frames referencing a corresponding one of said temporary documents as a source document. | 8. The computer program product of claim 7 , wherein said computer usable program code for linking each of said temporary documents to said portal page comprises computer usable program code for inserting a plurality of hidden frames in said portal page, each of said hidden frames referencing a corresponding one of said temporary documents as a source document. 9. The computer program product of claim 8 , wherein said computer usable program code for linking each of said temporary documents to said portal page further comprises computer usable program code for inserting a plurality of span elements in said portal page, each of said span elements referencing said script logic in a corresponding one of said temporary documents. | 0.670667 |
4. A computer program product to dynamically display a presentation of a time duration, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code being readable and executable by a processor to perform a method comprising: receiving comments associated with the presentation, the comments arranged in a first ordering; identifying a time reference comment among the comments, the time reference comment including a time reference, the time reference referencing a time instant within the time duration of the presentation; wherein the changing the display to the second ordering includes moving the time reference comment to an end of a listing of the comments that is closest to the presentation; dynamically changing a display of the comments from the first ordering to a second ordering at the time instant; and wherein the moving the time reference comment includes moving the time reference comment to an area that is highlighted with respect to others of the comments. | 4. A computer program product to dynamically display a presentation of a time duration, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code being readable and executable by a processor to perform a method comprising: receiving comments associated with the presentation, the comments arranged in a first ordering; identifying a time reference comment among the comments, the time reference comment including a time reference, the time reference referencing a time instant within the time duration of the presentation; wherein the changing the display to the second ordering includes moving the time reference comment to an end of a listing of the comments that is closest to the presentation; dynamically changing a display of the comments from the first ordering to a second ordering at the time instant; and wherein the moving the time reference comment includes moving the time reference comment to an area that is highlighted with respect to others of the comments. 6. The computer program product according to claim 4 , further comprising identifying a second time reference comment among the comments, the second time reference comment including a second time reference, the second time reference referencing a second time instant within the time duration of the presentation, and dynamically changing a display of the comments to a third ordering at the second time instant. | 0.5 |
1. A computerized system for creating interactive electronic books over a network, comprising: a) an effects library module including a plurality of interactive effects wizard modules that automate code generation for customized interactive effects in electronic books, wherein one of the interactive effects wizard modules automates code generation for an effect selected from the group of effects consisting of: performing a mathematical function on user input; animating a graphic on a trigger; changing a background to a custom background on a trigger; changing text in a body of text to a user input text on a trigger; changing text in a body of text on a trigger; playing an author uploaded audio file on a trigger; and scrolling a user view on a trigger other than a usual scroll trigger; triggering code generated by an interactive effects wizard module; delaying operation of code generated by an interactive effects wizard module; requesting a user input and storing the same in memory; operating a user interface effect; changing a display characteristic of a displayed object; selecting a displayed item; sending data on a trigger; controlling the display of media by a user; and randomizing an effect; b) a first database module including a relational database stored in a memory device that stores information associated with electronic book generation including information related to selected interactive effects wizard modules; c) a second database module including a database; d) a database federation module including a processor functionally coupled between the first database and the second database such that changes to one of the first and second databases are automatically updated in the other; and e) a user interface module functionally coupled to each of the effects library module and the first database module such that a user is able to selectably manipulate the same in creation of an electronic book and including a network module including a network communication device over a network. | 1. A computerized system for creating interactive electronic books over a network, comprising: a) an effects library module including a plurality of interactive effects wizard modules that automate code generation for customized interactive effects in electronic books, wherein one of the interactive effects wizard modules automates code generation for an effect selected from the group of effects consisting of: performing a mathematical function on user input; animating a graphic on a trigger; changing a background to a custom background on a trigger; changing text in a body of text to a user input text on a trigger; changing text in a body of text on a trigger; playing an author uploaded audio file on a trigger; and scrolling a user view on a trigger other than a usual scroll trigger; triggering code generated by an interactive effects wizard module; delaying operation of code generated by an interactive effects wizard module; requesting a user input and storing the same in memory; operating a user interface effect; changing a display characteristic of a displayed object; selecting a displayed item; sending data on a trigger; controlling the display of media by a user; and randomizing an effect; b) a first database module including a relational database stored in a memory device that stores information associated with electronic book generation including information related to selected interactive effects wizard modules; c) a second database module including a database; d) a database federation module including a processor functionally coupled between the first database and the second database such that changes to one of the first and second databases are automatically updated in the other; and e) a user interface module functionally coupled to each of the effects library module and the first database module such that a user is able to selectably manipulate the same in creation of an electronic book and including a network module including a network communication device over a network. 3. The system of claim 1 , wherein the relational database stores authoring progress information and wherein the user interface module uses such stored authoring progress information to return to an editing state on request from an author. | 0.556435 |
14. An apparatus comprising: a processor; and a memory coupled to the processor, the memory storing instructions configured to implement a scripting language-based framework, the scripting language-based framework comprising: a set of controls pre-programmed to access backend cloud-based services and generate user interfaces when enabled; an interface component that receives a call that manages a control from the set, wherein the call is provided by an application that references the scripting language-based framework; a user interface (UI) creation component that generates a user interface based the control as managed by the call; and a data access component that accesses backend cloud-based services provided by a distributed data store on a cloud platform based on the control as managed by the call. | 14. An apparatus comprising: a processor; and a memory coupled to the processor, the memory storing instructions configured to implement a scripting language-based framework, the scripting language-based framework comprising: a set of controls pre-programmed to access backend cloud-based services and generate user interfaces when enabled; an interface component that receives a call that manages a control from the set, wherein the call is provided by an application that references the scripting language-based framework; a user interface (UI) creation component that generates a user interface based the control as managed by the call; and a data access component that accesses backend cloud-based services provided by a distributed data store on a cloud platform based on the control as managed by the call. 19. The apparatus of claim 14 , wherein the data access component at least one of writes data to the distributed data store on the cloud platform based on the control as managed by the call, reads data from the distributed data store on the cloud platform based on the control as managed by the call, searches for data in the distributed data store on the cloud platform based on the control as managed by the call, or indexes data in the distributed data store on the cloud platform based on the control as managed by the call. | 0.5 |
2. The device of claim 1 , where the one or more processors are further to: calculate a theme similarity score between a pair of themes included in the set of dominant themes; determine that the theme similarity score, for the pair of themes, satisfies a first threshold; merge the pair of themes to form a theme cluster based on determining that the theme similarity score, for the pair of themes, satisfying the first threshold; and provide information that identifies the theme cluster. | 2. The device of claim 1 , where the one or more processors are further to: calculate a theme similarity score between a pair of themes included in the set of dominant themes; determine that the theme similarity score, for the pair of themes, satisfies a first threshold; merge the pair of themes to form a theme cluster based on determining that the theme similarity score, for the pair of themes, satisfying the first threshold; and provide information that identifies the theme cluster. 3. The device of claim 2 , where the one or more processors are further to: calculate a requirement similarity score between a pair of requirements included in the set of requirements; determine that the requirement similarity score, for the pair of requirements, satisfies a second threshold; merge the pair of requirements to form a requirement cluster based on the requirement similarity score, for the pair of requirements, satisfying the second threshold; and provide information that identifies the requirement cluster. | 0.771281 |
1. An integrated interactive electronic virtual reality multimedia recording and learning platform and system adapted for a top down butterfly morpheus music notation comprising: a) a central processing unit complete with plurality of input means, output means and a variety of memory means; b) a butterfly morpheus musical instrument with plurality of manual input means each with a first unique visible indicia interfaced to said central processing unit; c) a plurality of finger adapters each with a second unique visible indicia donned on respective fingers; d) a first custom butterfly morpheus music notation computer interface comprising a plurality of bars, staves, scales, keys chords, arpeggios, notes frequencies customized to said music instrument and said finger adapters; e) a second custom butterfly morpheus music notation computer interface comprising a plurality of virtual characters assigned to specific positional coordinates, virtual musical instruments representations vertical/horizontal scroll bars and a virtual command screen display; f) a custom graphics tablet connected to said computer with plurality of input means, output means and a variety of memory means; g) a custom Digital Stylus interfaced between said plurality of input means and said central processing unit; h) a custom set of external controllers for controlling and executing said input and output of commands requested by the user utilizing a new generation music notation system, routed through said central processing unit; i) a custom playback means with plurality of input and output means interfaced to said CPU of said system; j) a custom color designation means applied upon said first unique visible indicia to indicate eight specific note value lengths; and k) a custom midi interactive program operable in said central processing unit to display program messages and specific notes utilizing said first visible indicia, specific hand configurations utilizing said second visible indicia and specific note value lengths utilizing said eight specific colors. | 1. An integrated interactive electronic virtual reality multimedia recording and learning platform and system adapted for a top down butterfly morpheus music notation comprising: a) a central processing unit complete with plurality of input means, output means and a variety of memory means; b) a butterfly morpheus musical instrument with plurality of manual input means each with a first unique visible indicia interfaced to said central processing unit; c) a plurality of finger adapters each with a second unique visible indicia donned on respective fingers; d) a first custom butterfly morpheus music notation computer interface comprising a plurality of bars, staves, scales, keys chords, arpeggios, notes frequencies customized to said music instrument and said finger adapters; e) a second custom butterfly morpheus music notation computer interface comprising a plurality of virtual characters assigned to specific positional coordinates, virtual musical instruments representations vertical/horizontal scroll bars and a virtual command screen display; f) a custom graphics tablet connected to said computer with plurality of input means, output means and a variety of memory means; g) a custom Digital Stylus interfaced between said plurality of input means and said central processing unit; h) a custom set of external controllers for controlling and executing said input and output of commands requested by the user utilizing a new generation music notation system, routed through said central processing unit; i) a custom playback means with plurality of input and output means interfaced to said CPU of said system; j) a custom color designation means applied upon said first unique visible indicia to indicate eight specific note value lengths; and k) a custom midi interactive program operable in said central processing unit to display program messages and specific notes utilizing said first visible indicia, specific hand configurations utilizing said second visible indicia and specific note value lengths utilizing said eight specific colors. 21. The integrated interactive electronic virtual reality multimedia recording and learning environment adapted for a top down butterfly morpheus music notation system of claim 1 , wherein said music instrument is one selected from group consisting of consisting of recorders, flutes, tin whistles and piccolos. | 0.66237 |
9. The method as set forth in claim 6 including drafting an abstract under the ABSTRACT heading, and searching for each occurrence of each element name and replacing same with the respective element name followed by the assigned reference numeral to provide a reference numeral with the occurrence of each element name recited under the DESCRIPTION and CLAIMS and ABSTRACT headings. | 9. The method as set forth in claim 6 including drafting an abstract under the ABSTRACT heading, and searching for each occurrence of each element name and replacing same with the respective element name followed by the assigned reference numeral to provide a reference numeral with the occurrence of each element name recited under the DESCRIPTION and CLAIMS and ABSTRACT headings. 10. The method as set forth in claim 9 including automatically adding parenthesis ( ) about each reference numeral recited in the CLAIMS and ABSTRACT headings. | 0.971701 |
14. The system of claim 12 , wherein the attribute of the document comprises a first field containing a name of the attribute and a second field containing a value of the attribute. | 14. The system of claim 12 , wherein the attribute of the document comprises a first field containing a name of the attribute and a second field containing a value of the attribute. 15. The system of claim 14 , wherein said one or more metadata rules comprises a target name, a target value, a comparison operation for comparing the target value with the second field of the attribute the first field of which matches the target name, and the security access policy, comprising a permission set to be applied to the document for controlling access to the document based on results of the comparison operation. | 0.854422 |
1. A machine implemented method of executing four-valued logic in a semantic network, the method comprising: defining a logic system having a NOT logical connective denoted as “ ” an AND logical connective denoted as “ ” and an OR logical connective denoted as “ ” wherein false values are represented with an “F” symbol, true values are represented by a “T” symbol, undefined values are represented by a “U” symbol, and defined values are represented by a “D” symbol, such that for a property P false values are in a set { P}, true values are in a set {P}, undefined values are in a set {}, defined values are in a set {P, P}, wherein said logic system is proven complete and w-consistent by a set of statements comprising: F is T, T is F, U is D, D is U; F F is F, F T is F, F U is F, F D is F; T F is F, T T is T, T U is U, T D is D; U F is F, U T is U, U U is U, U D is F; D F is F, D T is D, D U is F, D D is D; F F is F, F T is T, F U is U, F D is D; T F is T, T T is T, T U is T, T D is T; U F is U, U T is T, U U is U, U D is T; and D F is D, D T is T, D U is T, D D is D; generating a semantic network representing digitally stored information, said semantic network comprising a plurality of object nodes and a plurality of relationships between said plurality of object nodes, by: providing a first vector and a second vector in digital memory for each of said plurality of object nodes, each of said first vector and said second vector being a dynamically allocated array having a plurality of index positions each with a size of one bit; linearly encoding semantic information for an object node by storing two bits that together encode a false value, true value, undefined value, or defined value, a first bit of said two bits being stored at an index position within the first vector associated with the object node, and a second bit of said two bits being stored at the same index position within the second vector associated with the object node; linearly encoding syntactic information associated with said plurality of relationships in said digital memory; and testing conditionals or quantifying variables in said semantic network during successive recursive steps in a predicate calculus using said logic system, the false values, true values, undefined values, and defined values in the semantic information associated with said plurality of object nodes, and the syntactic information associated with said plurality of relationships, wherein linear encoding of said semantic information and said syntactic information optimizes short term memory, maximizes long term storage, and optimizes communication and memory between different knowledge sources or processes. | 1. A machine implemented method of executing four-valued logic in a semantic network, the method comprising: defining a logic system having a NOT logical connective denoted as “ ” an AND logical connective denoted as “ ” and an OR logical connective denoted as “ ” wherein false values are represented with an “F” symbol, true values are represented by a “T” symbol, undefined values are represented by a “U” symbol, and defined values are represented by a “D” symbol, such that for a property P false values are in a set { P}, true values are in a set {P}, undefined values are in a set {}, defined values are in a set {P, P}, wherein said logic system is proven complete and w-consistent by a set of statements comprising: F is T, T is F, U is D, D is U; F F is F, F T is F, F U is F, F D is F; T F is F, T T is T, T U is U, T D is D; U F is F, U T is U, U U is U, U D is F; D F is F, D T is D, D U is F, D D is D; F F is F, F T is T, F U is U, F D is D; T F is T, T T is T, T U is T, T D is T; U F is U, U T is T, U U is U, U D is T; and D F is D, D T is T, D U is T, D D is D; generating a semantic network representing digitally stored information, said semantic network comprising a plurality of object nodes and a plurality of relationships between said plurality of object nodes, by: providing a first vector and a second vector in digital memory for each of said plurality of object nodes, each of said first vector and said second vector being a dynamically allocated array having a plurality of index positions each with a size of one bit; linearly encoding semantic information for an object node by storing two bits that together encode a false value, true value, undefined value, or defined value, a first bit of said two bits being stored at an index position within the first vector associated with the object node, and a second bit of said two bits being stored at the same index position within the second vector associated with the object node; linearly encoding syntactic information associated with said plurality of relationships in said digital memory; and testing conditionals or quantifying variables in said semantic network during successive recursive steps in a predicate calculus using said logic system, the false values, true values, undefined values, and defined values in the semantic information associated with said plurality of object nodes, and the syntactic information associated with said plurality of relationships, wherein linear encoding of said semantic information and said syntactic information optimizes short term memory, maximizes long term storage, and optimizes communication and memory between different knowledge sources or processes. 2. The method of claim 1 , further comprising applying phrase structure rewrite rule on said plurality of object nodes in said semantic network. | 0.593466 |
2. The computer-implemented method of claim 1 , further comprising: determining, using the one or more computing devices, a value coefficient for at least one of the one or more webpages. | 2. The computer-implemented method of claim 1 , further comprising: determining, using the one or more computing devices, a value coefficient for at least one of the one or more webpages. 5. The computer-implemented method of claim 2 , wherein the value coefficient is based upon, at least in part, a number of advertisements served on a website. | 0.96595 |
19. The article of manufacture of claim 13 , wherein the weight for proximity is calculated based upon a user's access to each artifact associated with the identifier retrieved from the primary repository. | 19. The article of manufacture of claim 13 , wherein the weight for proximity is calculated based upon a user's access to each artifact associated with the identifier retrieved from the primary repository. 22. The article of manufacture of claim 19 , wherein the weight for the proximity for a user with an access to the artifact existing in a hierarchy is computed as a product of the maximum weight of the proximity and a numeric value assigned to the access based upon a number of levels in the hierarchy. | 0.946277 |
19. The multi-device video communication system in claim 14 wherein a first rating is received from a first participant of the plurality of participants and the first rating represents an assessment of the importance of a second participant of the plurality of participants. | 19. The multi-device video communication system in claim 14 wherein a first rating is received from a first participant of the plurality of participants and the first rating represents an assessment of the importance of a second participant of the plurality of participants. 20. The multi-device video communication system in claim 19 wherein a second rating is received from the second participant of the plurality of participants and represents an assessment of the importance of the first participant of the plurality of participants. | 0.822356 |
13. A method, comprising: receiving an instruction to define a narrative content portion based at least in part on an event; receiving, from a database, a plurality of data associated with the event; selecting, based on a narrative tone type that is based on the event, a narrative content template including a plurality of variable identifiers; defining the narrative content portion based at least in part on a combination of: a text portion of the narrative content template, the text portion being based on the narrative tone type; and for each variable identifier from the plurality of variable identifiers, a datum from the plurality of data associated with that variable identifier; and sending a signal such that the narrative content portion is output at a display. | 13. A method, comprising: receiving an instruction to define a narrative content portion based at least in part on an event; receiving, from a database, a plurality of data associated with the event; selecting, based on a narrative tone type that is based on the event, a narrative content template including a plurality of variable identifiers; defining the narrative content portion based at least in part on a combination of: a text portion of the narrative content template, the text portion being based on the narrative tone type; and for each variable identifier from the plurality of variable identifiers, a datum from the plurality of data associated with that variable identifier; and sending a signal such that the narrative content portion is output at a display. 24. The method of claim 13 , wherein the narrative content portion is output in response to an e-mail request. | 0.903141 |
1. A method for multimedia summary generation adapted to a multimedia system, wherein the method comprises following steps: capturing a multimedia information from a multimedia source, wherein the multimedia information comprises at least a video clip or a picture; processing the video clip or the picture of the multimedia information according to a predetermined condition to generate a multimedia summary candidate, wherein the predetermined condition comprises at least a system setting value, an overlapping time, a maximum video clip length, a minimum video clip length, a people capturing ratio or a combination thereof, for determining a start point and an end point of the video clip, wherein the predetermined condition further comprises screening video clips and pictures similar to the video clip and the picture from the multimedia information by using a clustering algorithm to form a multimedia summary candidate group; generating a multimedia summary list by checking whether a threshold is predetermined; outputting the multimedia summary candidate to join the multimedia summary list when no threshold is predetermined, checking whether the multimedia summary candidate meets the predetermined threshold when the threshold is predetermined; joining the multimedia summary candidate to the multimedia summary list when the multimedia summary candidate meets the predetermined threshold; ignoring the multimedia summary candidate when the multimedia summary candidate does not meet the predetermined threshold; combining the multimedia summary candidate in the multimedia summary candidate list to generate a multimedia summary; and sending message of the video clips and pictures similar to the video clip and the picture from the multimedia information to generate an Internet spread website via the Internet after forming the multimedia summary candidate group, wherein the predetermined threshold is realizable at least by a number of users selecting the multimedia summary candidate, a ratio of the number of users selecting the multimedia summary candidate or a combination thereof. | 1. A method for multimedia summary generation adapted to a multimedia system, wherein the method comprises following steps: capturing a multimedia information from a multimedia source, wherein the multimedia information comprises at least a video clip or a picture; processing the video clip or the picture of the multimedia information according to a predetermined condition to generate a multimedia summary candidate, wherein the predetermined condition comprises at least a system setting value, an overlapping time, a maximum video clip length, a minimum video clip length, a people capturing ratio or a combination thereof, for determining a start point and an end point of the video clip, wherein the predetermined condition further comprises screening video clips and pictures similar to the video clip and the picture from the multimedia information by using a clustering algorithm to form a multimedia summary candidate group; generating a multimedia summary list by checking whether a threshold is predetermined; outputting the multimedia summary candidate to join the multimedia summary list when no threshold is predetermined, checking whether the multimedia summary candidate meets the predetermined threshold when the threshold is predetermined; joining the multimedia summary candidate to the multimedia summary list when the multimedia summary candidate meets the predetermined threshold; ignoring the multimedia summary candidate when the multimedia summary candidate does not meet the predetermined threshold; combining the multimedia summary candidate in the multimedia summary candidate list to generate a multimedia summary; and sending message of the video clips and pictures similar to the video clip and the picture from the multimedia information to generate an Internet spread website via the Internet after forming the multimedia summary candidate group, wherein the predetermined threshold is realizable at least by a number of users selecting the multimedia summary candidate, a ratio of the number of users selecting the multimedia summary candidate or a combination thereof. 3. The method according to claim 1 , wherein the capturing multimedia information further comprises capturing correspondence information between the video clip and the picture, and the correspondence information comprises at least a channel name, a program name, a capturing time, an actor's name, a title of a specific event or a combination thereof. | 0.664756 |
1. A computer implemented method for preventing unauthorized disclosure of secure information, the computer implemented method comprising: receiving information including a first text, by a computer system having at least a processor for executing instructions, said first text including a plurality of words; normalizing, by said computer system, said first text into a first canonical text expression, said first canonical text expression including a plurality of normalized words; generating, at said computer system, a first word hash list for said first canonical text expression, where said first word hash list is generated at a word level; generating, at said computer system, a first set of fingerprints for said first word hash list; wherein generating said first word hash list includes converting said plurality of normalized words into a plurality of word-value hashes, each specific one of said word-value hashes representing a specific normalized word; and wherein said generating said first set of fingerprints includes: assigning a sliding window of size W, wherein said sliding window is used for reading a W number of said word-value hashes from said first word hash list; using said sliding window to read said W number of said word-level hashes from said first word hash list; designating said word-value hash with a distinct value within said sliding window as an anchor; and generating a fingerprint using a fingerprint hash function, wherein said fingerprint hash function is applied over all said word-value hashes contained within a start of said sliding window to where said anchor resides in said sliding window. | 1. A computer implemented method for preventing unauthorized disclosure of secure information, the computer implemented method comprising: receiving information including a first text, by a computer system having at least a processor for executing instructions, said first text including a plurality of words; normalizing, by said computer system, said first text into a first canonical text expression, said first canonical text expression including a plurality of normalized words; generating, at said computer system, a first word hash list for said first canonical text expression, where said first word hash list is generated at a word level; generating, at said computer system, a first set of fingerprints for said first word hash list; wherein generating said first word hash list includes converting said plurality of normalized words into a plurality of word-value hashes, each specific one of said word-value hashes representing a specific normalized word; and wherein said generating said first set of fingerprints includes: assigning a sliding window of size W, wherein said sliding window is used for reading a W number of said word-value hashes from said first word hash list; using said sliding window to read said W number of said word-level hashes from said first word hash list; designating said word-value hash with a distinct value within said sliding window as an anchor; and generating a fingerprint using a fingerprint hash function, wherein said fingerprint hash function is applied over all said word-value hashes contained within a start of said sliding window to where said anchor resides in said sliding window. 9. A computer implemented method for preventing unauthorized disclosure of secure information as recited in claim 1 , wherein said normalizing said first text into a first canonical text expression includes converting said first text into Unicode. | 0.622044 |
13. A system comprising: a processing unit; a memory operatively coupled to the processing unit, wherein the memory comprises: a software structure schema, wherein the software structure schema stores layers that define a software system in a business environment, wherein the software structure schema is configured to store customer requirements of the software system; model business-software architecture of the software system in a first level of the schema as business functions, business activities, forms, actions, and business rules, wherein each of the business functions comprises functions performed in a business process of the software system, wherein each of the business activities comprises activities performed in each of the business functions, wherein each of the forms comprises semantics to capture and retrieve information for each of the business activities, wherein each of the actions comprises tasks performed in each of the forms, and wherein each of the business rules comprises rules that govern each of the actions; model design architecture of the software system in a second level of the schema as components, system entry points, user interfaces, services, and methods, wherein each of the components corresponds to each of the business functions of the business process, wherein each of the system entry points corresponds to visual-interface elements of each of the business activities, wherein each of the user interfaces with visual-interface elements corresponds to each of the forms, wherein each of the services corresponds to each of the actions performed in each of the user interfaces, and wherein each of the methods corresponds to each of the business rules that are invoked in handling each of the services; define events that connect the first level and second level of the schema, wherein event comprises entry events and exit events, and wherein each of the entry events is a stimulus that triggers a business function, a business activity, or a form and each of the exit events is a response from the respective business function, business activity, or form to the stimulus; define links that represent interactions between the user interfaces, wherein each of the links comprises cross connections between the visual-interface elements in the user interfaces and the events associated with at least one of the business functions, business activities, and forms; define integration services for each of the events, wherein integration services define cross connections for data updates between the events associated with at least one of the business functions, business activities, and forms in the first level and services and methods in the second level; and map each of the business functions, business activities, forms, actions, and business rules in the first level to a corresponding one of the components, system entry points, user interfaces, services, and methods in the second level using the events, links and integration services; a knowledge repository to create and store a traversable user interface representing the mappings between the first level and the second level of the schema; a change requests module to identify changes to the software system in the business environment, wherein the changes are associated with at least one of the business functions, business activities, forms, actions, and business rules; and an impact analysis module to analyze impact of the changes to the software system using the knowledge repository with the traversable user interface. | 13. A system comprising: a processing unit; a memory operatively coupled to the processing unit, wherein the memory comprises: a software structure schema, wherein the software structure schema stores layers that define a software system in a business environment, wherein the software structure schema is configured to store customer requirements of the software system; model business-software architecture of the software system in a first level of the schema as business functions, business activities, forms, actions, and business rules, wherein each of the business functions comprises functions performed in a business process of the software system, wherein each of the business activities comprises activities performed in each of the business functions, wherein each of the forms comprises semantics to capture and retrieve information for each of the business activities, wherein each of the actions comprises tasks performed in each of the forms, and wherein each of the business rules comprises rules that govern each of the actions; model design architecture of the software system in a second level of the schema as components, system entry points, user interfaces, services, and methods, wherein each of the components corresponds to each of the business functions of the business process, wherein each of the system entry points corresponds to visual-interface elements of each of the business activities, wherein each of the user interfaces with visual-interface elements corresponds to each of the forms, wherein each of the services corresponds to each of the actions performed in each of the user interfaces, and wherein each of the methods corresponds to each of the business rules that are invoked in handling each of the services; define events that connect the first level and second level of the schema, wherein event comprises entry events and exit events, and wherein each of the entry events is a stimulus that triggers a business function, a business activity, or a form and each of the exit events is a response from the respective business function, business activity, or form to the stimulus; define links that represent interactions between the user interfaces, wherein each of the links comprises cross connections between the visual-interface elements in the user interfaces and the events associated with at least one of the business functions, business activities, and forms; define integration services for each of the events, wherein integration services define cross connections for data updates between the events associated with at least one of the business functions, business activities, and forms in the first level and services and methods in the second level; and map each of the business functions, business activities, forms, actions, and business rules in the first level to a corresponding one of the components, system entry points, user interfaces, services, and methods in the second level using the events, links and integration services; a knowledge repository to create and store a traversable user interface representing the mappings between the first level and the second level of the schema; a change requests module to identify changes to the software system in the business environment, wherein the changes are associated with at least one of the business functions, business activities, forms, actions, and business rules; and an impact analysis module to analyze impact of the changes to the software system using the knowledge repository with the traversable user interface. 17. The system of claim 13 , wherein the customer requirements are captured through triggered events. | 0.558031 |
38. The data processing system according to claim 35 , wherein said descriptor elements are arranged as a composite tree structure. | 38. The data processing system according to claim 35 , wherein said descriptor elements are arranged as a composite tree structure. 39. The data processing system according to claim 38 , data structure further comprises a MDOM builder, wherein said descriptor element factory operates using said MDOM builder, and said composite tree structure is a MDOM tree. | 0.943149 |
13. The method of claim 1, further comprising the step of: automatically generating and mapping a texture of a scene behind an occluder onto a face of said occluder. | 13. The method of claim 1, further comprising the step of: automatically generating and mapping a texture of a scene behind an occluder onto a face of said occluder. 14. The method of claim 13, wherein said occluder's texture is replaced by real geometry when a camera is closer to said occluder than an activationDistance, wherein generation of said texture is accomplished by rendering geometry behind said occluder into an image buffer that is used as a texture for said occluder. | 0.867794 |
1. A method of constituting a database relating to layout and data contained in a document to be printed, the database being made from a storage and generated by software processing, the storage being comprised of a file adapted for transmission to a printer so as to allow for the printing of the document, the storage containing data related to blocks belonging to an aggregate of blocks corresponding to the document, each of the blocks corresponding to a text or to an image of a page of the document, each of the blocks containing data relating to a container of the concerned text or image on the particular page and date related to content of the text or image, a determined arrangement of the blocks defining a composition of the page of the document, the storage storing in ordered blocks all data related to the container and all data related to the content of the considered texts and/or images of the document, each of the blocks being associated with an identifier so as to allow for identification within the storage, the method comprising the following steps: collecting all blocks, block after block, at the storage; collecting for each of the blocks the data related to the container and to the content of the concerned text or image by collecting various types of unitary data corresponding to said data related to the container and to said data related to the content of each text and image of the document; creating a table and transferring into said table the unitary data for each block in connection with the corresponding identifier; associating the identifier of each block and each unitary data corresponding to each type of data related to the container and to the content of each block with a location in the database by copying said table into said database; detecting the blocks corresponding to a text; collecting at the storage the content of a text block for each block corresponding to a text; creating a text file for each of the text blocks into which the content of the concerned text block is transferred; associating the identifier of each text block and each text file corresponding to the text block with a location in the database; detecting data related to colors associated with images or texts in the blocks at the storage; decomposing the data related to colors into a composition of primary color data; transferring the composition of primary color data into a corresponding primary color table; associating said primary color table with a location in the database, the database containing accessible and amendable data comprising the unitary data, the text content data and the image content data of each block, so as to be used for intervening on the blocks of the aggregate corresponding to the document and for either reconstituting the document or constituting a new document. | 1. A method of constituting a database relating to layout and data contained in a document to be printed, the database being made from a storage and generated by software processing, the storage being comprised of a file adapted for transmission to a printer so as to allow for the printing of the document, the storage containing data related to blocks belonging to an aggregate of blocks corresponding to the document, each of the blocks corresponding to a text or to an image of a page of the document, each of the blocks containing data relating to a container of the concerned text or image on the particular page and date related to content of the text or image, a determined arrangement of the blocks defining a composition of the page of the document, the storage storing in ordered blocks all data related to the container and all data related to the content of the considered texts and/or images of the document, each of the blocks being associated with an identifier so as to allow for identification within the storage, the method comprising the following steps: collecting all blocks, block after block, at the storage; collecting for each of the blocks the data related to the container and to the content of the concerned text or image by collecting various types of unitary data corresponding to said data related to the container and to said data related to the content of each text and image of the document; creating a table and transferring into said table the unitary data for each block in connection with the corresponding identifier; associating the identifier of each block and each unitary data corresponding to each type of data related to the container and to the content of each block with a location in the database by copying said table into said database; detecting the blocks corresponding to a text; collecting at the storage the content of a text block for each block corresponding to a text; creating a text file for each of the text blocks into which the content of the concerned text block is transferred; associating the identifier of each text block and each text file corresponding to the text block with a location in the database; detecting data related to colors associated with images or texts in the blocks at the storage; decomposing the data related to colors into a composition of primary color data; transferring the composition of primary color data into a corresponding primary color table; associating said primary color table with a location in the database, the database containing accessible and amendable data comprising the unitary data, the text content data and the image content data of each block, so as to be used for intervening on the blocks of the aggregate corresponding to the document and for either reconstituting the document or constituting a new document. 24. The method of claim 1 , further comprising: limiting access to the composition or to the piece of data related to the given color. | 0.546105 |
13. An information handling system comprising: one or more processors; a memory accessible by the processors; one or more nonvolatile storage devices accessible by the processors; and a set of instructions stored in the memory, wherein one or more of the processors executes the set of instructions in order to perform actions of: retrieving a candidate name from one of the nonvolatile storage areas; identifying a cultural classification that corresponds to the candidate name; retrieving one or more culture-specific regularization rules corresponding to the cultural classification from one of the nonvolatile storage areas; applying one or more of the culture-specific regularization rules to the candidate name, resulting in a regularized candidate name, wherein the applying further comprises: determining that a first regularization rule included in the one or more culture-specific regularization rules applies to the candidate name; generating a first iteration regularized candidate name by applying the first regularized rule to the candidate name; determining that a second regularization rule included in the one or more culture-specific regularization rules applies to the candidate name; and generating the regularized candidate name by applying the second regularized rule to the first iteration regularized candidate name; and storing the regularized candidate name in one of the nonvolatile storage areas; comparing, by the processor, the regularized candidate name with a regularized query name; determining, by the processor, that the comparison meets a regularization matching threshold, which indicates a potential match between the regularized candidate name and the regularized query name; and in response to determining that comparison meets the regularization matching threshold, providing the candidate name to the user. | 13. An information handling system comprising: one or more processors; a memory accessible by the processors; one or more nonvolatile storage devices accessible by the processors; and a set of instructions stored in the memory, wherein one or more of the processors executes the set of instructions in order to perform actions of: retrieving a candidate name from one of the nonvolatile storage areas; identifying a cultural classification that corresponds to the candidate name; retrieving one or more culture-specific regularization rules corresponding to the cultural classification from one of the nonvolatile storage areas; applying one or more of the culture-specific regularization rules to the candidate name, resulting in a regularized candidate name, wherein the applying further comprises: determining that a first regularization rule included in the one or more culture-specific regularization rules applies to the candidate name; generating a first iteration regularized candidate name by applying the first regularized rule to the candidate name; determining that a second regularization rule included in the one or more culture-specific regularization rules applies to the candidate name; and generating the regularized candidate name by applying the second regularized rule to the first iteration regularized candidate name; and storing the regularized candidate name in one of the nonvolatile storage areas; comparing, by the processor, the regularized candidate name with a regularized query name; determining, by the processor, that the comparison meets a regularization matching threshold, which indicates a potential match between the regularized candidate name and the regularized query name; and in response to determining that comparison meets the regularization matching threshold, providing the candidate name to the user. 14. The information handling system of claim 13 further comprises an additional set of instructions in order to perform actions of: receiving a query name from a user; detecting that the cultural classification corresponds to the query name; applying one or more of the regularization rules to the query name, resulting in the regularized query name; and storing the regularized query name in one of the nonvolatile storage areas. | 0.5 |
31. A method responsive to a user generated natural language speech utterance, comprising: receiving, at a speech unit connected to a computer device on a vehicle, a natural language speech utterance from a user, wherein the speech unit converts the received natural language speech utterance into an electronic signal; recognizing, at a speech recognition engine connected to the computer device on the vehicle, at least one of words or phrases from the electronic signal, wherein the speech recognition engine uses at least data received from a plurality of domain agents to recognize the words or phrases, wherein the data used by the speech recognition engine includes a plurality of dictionary and phrase entries that are dynamically updated based on at least a history of a current dialog and one or more prior dialogs associated with the user; determining, at a parser connected to the computer device on the vehicle, a context for the natural language speech utterance; selecting, at the parser connected to the computer device on the vehicle, at least one of the plurality of domain agents based on the determined context; transforming, at the parser connected to the computer device on the vehicle, the recognized words or phrases into at least one of a question or a command, wherein the at least one question or command is formulated in a grammar that the selected domain agent uses to process the formulated question or command; and forwarding the formulated question or command to an agent architecture connected to the computer device on the vehicle, wherein the agent architecture communicatively couples services of each of an agent manager, a system agent, the plurality of domain agents, and an agent library that includes one or more utilities that can be used by the system agent and the plurality of domain agents, wherein the selected domain agent uses the communicatively coupled services to create a response to the formulated question or command and format the response for presentation to the user. | 31. A method responsive to a user generated natural language speech utterance, comprising: receiving, at a speech unit connected to a computer device on a vehicle, a natural language speech utterance from a user, wherein the speech unit converts the received natural language speech utterance into an electronic signal; recognizing, at a speech recognition engine connected to the computer device on the vehicle, at least one of words or phrases from the electronic signal, wherein the speech recognition engine uses at least data received from a plurality of domain agents to recognize the words or phrases, wherein the data used by the speech recognition engine includes a plurality of dictionary and phrase entries that are dynamically updated based on at least a history of a current dialog and one or more prior dialogs associated with the user; determining, at a parser connected to the computer device on the vehicle, a context for the natural language speech utterance; selecting, at the parser connected to the computer device on the vehicle, at least one of the plurality of domain agents based on the determined context; transforming, at the parser connected to the computer device on the vehicle, the recognized words or phrases into at least one of a question or a command, wherein the at least one question or command is formulated in a grammar that the selected domain agent uses to process the formulated question or command; and forwarding the formulated question or command to an agent architecture connected to the computer device on the vehicle, wherein the agent architecture communicatively couples services of each of an agent manager, a system agent, the plurality of domain agents, and an agent library that includes one or more utilities that can be used by the system agent and the plurality of domain agents, wherein the selected domain agent uses the communicatively coupled services to create a response to the formulated question or command and format the response for presentation to the user. 49. The method according to claim 31 , further comprising: detecting an accident situation in response to information received from one or more sensors connected to the vehicle; interacting with the user to determine at least one of a nature of the accident situation or a condition of the user; and reporting the accident situation to emergency personnel over a communications link. | 0.579692 |
8. The machine-assisted method of claim 1 , the method comprising: displaying a two-dimensional (2D) graphical representation of a chart comprising the graphical representation of a hierarchical network of graphical nodes on a 2D display comprising the idea map window; rotating the 2D graphical representation of the chart about at least one axis to obtain a virtual three-dimensional (3D) graphical representation of the chart; displaying the virtual 3D graphical representation of the chart on the 2D display; and permitting a user to further rotate the virtual 3D graphical representation of the chart about a vertical axis in the virtual 3D graphical representation of the chart, the vertical axis extending vertically through a specified node in the virtual 3D graphical representation of the chart. | 8. The machine-assisted method of claim 1 , the method comprising: displaying a two-dimensional (2D) graphical representation of a chart comprising the graphical representation of a hierarchical network of graphical nodes on a 2D display comprising the idea map window; rotating the 2D graphical representation of the chart about at least one axis to obtain a virtual three-dimensional (3D) graphical representation of the chart; displaying the virtual 3D graphical representation of the chart on the 2D display; and permitting a user to further rotate the virtual 3D graphical representation of the chart about a vertical axis in the virtual 3D graphical representation of the chart, the vertical axis extending vertically through a specified node in the virtual 3D graphical representation of the chart. 15. The method of claim 8 , in which the displaying the 2D graphical representation of a chart on the 2D display includes displaying a grid, and in which the displaying the 3D graphical representation of the chart includes modifying the grid to be indicative of a viewing perspective. | 0.850818 |
6. A programmable apparatus for automatically identifying a breaking scenario during an automated software build, comprising: a computer having a memory and is connected to a rules database; and a delta framework program in the memory, the computer being directed by the delta framework software to perform the following steps: identifying a build artifact from a list of build artifacts in a repository; comparing the build artifact to a current software build; identifying a delta between the build artifact and the current software build; determining whether the delta has a link to a rule in the rules database; responsive to the artifact having a link to a rule, determining whether the rule identifies a breaking scenario; and responsive to the rule identifying the breaking scenario, taking an action specified by the rule. | 6. A programmable apparatus for automatically identifying a breaking scenario during an automated software build, comprising: a computer having a memory and is connected to a rules database; and a delta framework program in the memory, the computer being directed by the delta framework software to perform the following steps: identifying a build artifact from a list of build artifacts in a repository; comparing the build artifact to a current software build; identifying a delta between the build artifact and the current software build; determining whether the delta has a link to a rule in the rules database; responsive to the artifact having a link to a rule, determining whether the rule identifies a breaking scenario; and responsive to the rule identifying the breaking scenario, taking an action specified by the rule. 9. The programmable apparatus of claim 6 , wherein the method performs at a plug-in point during the automated software build. | 0.74861 |
17. A computer-readable storage medium encoded with a computer program comprising instructions that, when executed, operate to cause a computer to perform operations comprising: receiving data indicating that a first user performed a conversion action in response to a first ad, wherein the received data includes an ad ID for the first ad and a first limited ID cookie that only identifies an encrypted user ID for the first user; decrypting the first limited ID cookie to obtain the user ID of the first user; creating a conversion record that includes the user ID for the first user an entity ID for an entity associated with the first ad, and the conversion action performed by the first user; receiving an ad request over a network from a client device of a second user, the ad request including a second limited ID cookie that only identifies an encrypted user ID for the second user; decrypting the second limited ID cookie to obtain the user ID of the second user; determining that the second user is a social contact of the first user in a social network based on the user ID of the second user and the user ID of the first user; in response to receiving the ad request, selecting a second ad with an ad ID; determining, based on the ad ID of the second ad, that the second ad is associated with a same entity as the first ad that is associated with the conversion action performed by the first user; retrieving conversion records containing the entity ID for the same entity, wherein the retrieved conversion records include at least the created conversion record; constructing a detailed annotation for display in the second ad based on the created conversion record that contains the user ID for the first user, wherein the detailed annotation identifies (i) the user ID of the first user, (ii) the conversion action performed by the first user, and (iii) the same entity; and sending the detailed annotation over the network to the client device in a format suitable for presentation on a display of the client device in conjunction with the selected ad. | 17. A computer-readable storage medium encoded with a computer program comprising instructions that, when executed, operate to cause a computer to perform operations comprising: receiving data indicating that a first user performed a conversion action in response to a first ad, wherein the received data includes an ad ID for the first ad and a first limited ID cookie that only identifies an encrypted user ID for the first user; decrypting the first limited ID cookie to obtain the user ID of the first user; creating a conversion record that includes the user ID for the first user an entity ID for an entity associated with the first ad, and the conversion action performed by the first user; receiving an ad request over a network from a client device of a second user, the ad request including a second limited ID cookie that only identifies an encrypted user ID for the second user; decrypting the second limited ID cookie to obtain the user ID of the second user; determining that the second user is a social contact of the first user in a social network based on the user ID of the second user and the user ID of the first user; in response to receiving the ad request, selecting a second ad with an ad ID; determining, based on the ad ID of the second ad, that the second ad is associated with a same entity as the first ad that is associated with the conversion action performed by the first user; retrieving conversion records containing the entity ID for the same entity, wherein the retrieved conversion records include at least the created conversion record; constructing a detailed annotation for display in the second ad based on the created conversion record that contains the user ID for the first user, wherein the detailed annotation identifies (i) the user ID of the first user, (ii) the conversion action performed by the first user, and (iii) the same entity; and sending the detailed annotation over the network to the client device in a format suitable for presentation on a display of the client device in conjunction with the selected ad. 18. The computer-readable storage medium of claim 17 , wherein sending the detailed annotation to the client device further comprises sending the detailed annotation to an iframe on the client device. | 0.571849 |
1. A speech-enabled internet based computing system comprising: a speech recognition engine configured to generate a recognized speech query from an utterance; said speech recognition engine being further configured to distribute speech processing operations between a client device and a server device on a device-by-device basis, such that a plurality of client devices having differing computing capabilities can be supported; wherein individual ones of said plurality of client devices can be configured to perform at least part of said speech processing operations to generate said recognized speech query; a web page having a list of items, at least some of said list of items being selectable through a browser on said client device based on said recognized speech query; wherein speech related data for the web page can be transferred between the client device and the server device using a hypertext transfer protocol (HTTP) and a format which includes an embedded NULL character. | 1. A speech-enabled internet based computing system comprising: a speech recognition engine configured to generate a recognized speech query from an utterance; said speech recognition engine being further configured to distribute speech processing operations between a client device and a server device on a device-by-device basis, such that a plurality of client devices having differing computing capabilities can be supported; wherein individual ones of said plurality of client devices can be configured to perform at least part of said speech processing operations to generate said recognized speech query; a web page having a list of items, at least some of said list of items being selectable through a browser on said client device based on said recognized speech query; wherein speech related data for the web page can be transferred between the client device and the server device using a hypertext transfer protocol (HTTP) and a format which includes an embedded NULL character. 14. The system of claim 1 wherein multiple speech grammars are available and selectable within the web page, and such that speech input provided by the user for an item within the page using a first grammar dynamically controls which one of a plurality of second grammars is loaded for speech recognition of subsequent speech input by the user. | 0.576121 |
1. A machine-implemented method for processing a query, comprising: determining, by a microprocessor, that execution of the query involves a scan operation; in response to determining that execution of the query involves a scan operation, generating, by the microprocessor, a scan operation command that includes, as parameters of the scan operation command, address data that is used to identify input data to be read by a coprocessor and one or more values that are used to compare against the input data; wherein the microprocessor is separate from the coprocessor; causing, by the microprocessor, the scan operation command to be stored in memory; processing, by the coprocessor, the scan operation command by: reading the scan operation command from the memory; causing the input data to be read from a location that is indicated by the address data; performing a comparison between the input data with the one or more values; generating a result data based on the comparison; causing the result data to be stored. | 1. A machine-implemented method for processing a query, comprising: determining, by a microprocessor, that execution of the query involves a scan operation; in response to determining that execution of the query involves a scan operation, generating, by the microprocessor, a scan operation command that includes, as parameters of the scan operation command, address data that is used to identify input data to be read by a coprocessor and one or more values that are used to compare against the input data; wherein the microprocessor is separate from the coprocessor; causing, by the microprocessor, the scan operation command to be stored in memory; processing, by the coprocessor, the scan operation command by: reading the scan operation command from the memory; causing the input data to be read from a location that is indicated by the address data; performing a comparison between the input data with the one or more values; generating a result data based on the comparison; causing the result data to be stored. 15. The method of claim 1 , wherein generating the result data based on the comparison comprises generating a bit vector, wherein each bit in the bit vector indicates whether a comparison yielded a true or false. | 0.647309 |
1. A computer-implemented method of automatically generating a coherence score for a text using a scoring model, comprising: identifying a plurality of lexical chains within a text to be scored with a processing system, wherein a lexical chain comprises a set of words spaced within the text, certain words in the lexical chain being non-contiguous; identifying a discourse element within the text with the processing system based on lookup operations with a computer database of discourse elements, wherein the discourse element comprises a word within the text; determining a coherence metric with the processing system based on a relationship between the lexical chains and the discourse element; wherein determining the coherence metric comprises determining: a first count of lexical chains that end before the discourse element; a second count of lexical chains that begin after the discourse element; and a third count of lexical chains that begin before and end after the discourse element; wherein the coherence metric is determined based on the first count, the second count, and the third count; generating a coherence score using the processing system by applying a scoring model to the coherence metric, wherein the scoring model comprises multiple weighted features whose feature weights are determined by training the scoring model relative to a plurality of training texts, the coherence score being combined with other non-lexical chain features by an automated essay evaluation engine to determine a transmitted quality level of the text. | 1. A computer-implemented method of automatically generating a coherence score for a text using a scoring model, comprising: identifying a plurality of lexical chains within a text to be scored with a processing system, wherein a lexical chain comprises a set of words spaced within the text, certain words in the lexical chain being non-contiguous; identifying a discourse element within the text with the processing system based on lookup operations with a computer database of discourse elements, wherein the discourse element comprises a word within the text; determining a coherence metric with the processing system based on a relationship between the lexical chains and the discourse element; wherein determining the coherence metric comprises determining: a first count of lexical chains that end before the discourse element; a second count of lexical chains that begin after the discourse element; and a third count of lexical chains that begin before and end after the discourse element; wherein the coherence metric is determined based on the first count, the second count, and the third count; generating a coherence score using the processing system by applying a scoring model to the coherence metric, wherein the scoring model comprises multiple weighted features whose feature weights are determined by training the scoring model relative to a plurality of training texts, the coherence score being combined with other non-lexical chain features by an automated essay evaluation engine to determine a transmitted quality level of the text. 5. The method of claim 1 , wherein the discourse element identifies a transition within the text. | 0.576902 |
1. A system for internal and Internet communication comprising: an intranet with a connection through a firewall to the internet; a plurality of databases requiring differing user security authorization levels to access their contents on the intranet; an intranet security database listing of clearance levels for intranet users having a user ID and active codeword along with their assigned port locations identified by their MAC and IP addresses; a plurality of LANs within the intranet each having a separate security system response to a user ID and codeword in the intranet security database to any intranet user to assign a LAN port location to the any user and to provide periodic comparisons of the any user's MAC and IP address while on-line against the any user's assigned port location MAC and IP addresses at a rate that a periodic comparison precedes any request of the any user for data in order to detect switching of ports by the any user prior to the accessing of any data by the any user wherein during the periodic comparisons the LAN security system compares data in its listings of LAN port locations in present use with the data for assigned LAN port locations of present users for disparities in assigned and on-line address locations of the any user; and at least one computerized component configured to perform the following: have the LAN security system assign a security ratings to port sites; check the user ID and password of a prospective user of a particular port site to determine whether the user is an approved LAN user; check the security level of the prospective user against the assigned security rating of the particular port site; assign use of the particular port site to the prospective user in the case that the prospective user is an approved LAN user and has the appropriate security level at least matching the security level of the particular port site; direct the prospective user to use a proper port site with a lower security rating in the case that the prospective user is an approved LAN user but does not have the appropriate security level to access the particular port site; record IP and MAC of the particular port assigned to the prospective user; use the recorded data to periodically compare an on-line port location of the prospective user against the user's assigned particular port site at a rate that assures the check proceeds the prospective users request for data; shut down the prospective user's assigned port and used port location to prevent the transfer of data when the on-line port location is not the assigned port location of the prospective user; and provide access when the on-line port location of the prospective user is the same as the location assigned the prospective user. | 1. A system for internal and Internet communication comprising: an intranet with a connection through a firewall to the internet; a plurality of databases requiring differing user security authorization levels to access their contents on the intranet; an intranet security database listing of clearance levels for intranet users having a user ID and active codeword along with their assigned port locations identified by their MAC and IP addresses; a plurality of LANs within the intranet each having a separate security system response to a user ID and codeword in the intranet security database to any intranet user to assign a LAN port location to the any user and to provide periodic comparisons of the any user's MAC and IP address while on-line against the any user's assigned port location MAC and IP addresses at a rate that a periodic comparison precedes any request of the any user for data in order to detect switching of ports by the any user prior to the accessing of any data by the any user wherein during the periodic comparisons the LAN security system compares data in its listings of LAN port locations in present use with the data for assigned LAN port locations of present users for disparities in assigned and on-line address locations of the any user; and at least one computerized component configured to perform the following: have the LAN security system assign a security ratings to port sites; check the user ID and password of a prospective user of a particular port site to determine whether the user is an approved LAN user; check the security level of the prospective user against the assigned security rating of the particular port site; assign use of the particular port site to the prospective user in the case that the prospective user is an approved LAN user and has the appropriate security level at least matching the security level of the particular port site; direct the prospective user to use a proper port site with a lower security rating in the case that the prospective user is an approved LAN user but does not have the appropriate security level to access the particular port site; record IP and MAC of the particular port assigned to the prospective user; use the recorded data to periodically compare an on-line port location of the prospective user against the user's assigned particular port site at a rate that assures the check proceeds the prospective users request for data; shut down the prospective user's assigned port and used port location to prevent the transfer of data when the on-line port location is not the assigned port location of the prospective user; and provide access when the on-line port location of the prospective user is the same as the location assigned the prospective user. 2. The system of claim 1 , wherein the security system of any LAN disables any used port of that any LAN when any one of the periodic comparisons of that any used port does not show identity of data with the users assigned port location. | 0.5 |
1. A computer-implemented method including executing instructions stored on a non-transitory computer-readable storage medium, said method comprising: receiving a plurality of documents from a plurality of different communication channels, at least a portion of the plurality of documents including a set of content representing an interaction between a user and a support entity, wherein the set of content includes both customer feedback content received from a user, and support content provided by the support entity and to the user responsive to the customer feedback content; identifying, within each document of the portion of the received plurality of documents, the customer feedback content received from a user and the support content provided to the user responsive to the customer feedback; filtering, by a processor executing the instructions, the portion of the received plurality of documents, including removing the customer feedback content and retaining the support content; partitioning, after the filtering, the plurality of filtered documents, in which the customer feedback has been removed, into multiple clusters based on the support content of each of the plurality of filtered documents; after the partitioning, for each filtered document in each cluster of the multiple clusters, associating the customer feedback content that was filtered from the filtered document with the cluster to which the filtered document belongs and the retained support content from that filtered document, and storing association information in memory; receiving a new document including customer feedback related to an issue; determining, using the association information in the memory, that the customer feedback of the new document matches the customer feedback content associated with one of the clusters; and providing, over a communication connection with a user associated with the new document, the retained support content associated with the cluster based on the match between the customer feedback of the new document and the customer feedback content that was associated with the cluster after the partitioning. | 1. A computer-implemented method including executing instructions stored on a non-transitory computer-readable storage medium, said method comprising: receiving a plurality of documents from a plurality of different communication channels, at least a portion of the plurality of documents including a set of content representing an interaction between a user and a support entity, wherein the set of content includes both customer feedback content received from a user, and support content provided by the support entity and to the user responsive to the customer feedback content; identifying, within each document of the portion of the received plurality of documents, the customer feedback content received from a user and the support content provided to the user responsive to the customer feedback; filtering, by a processor executing the instructions, the portion of the received plurality of documents, including removing the customer feedback content and retaining the support content; partitioning, after the filtering, the plurality of filtered documents, in which the customer feedback has been removed, into multiple clusters based on the support content of each of the plurality of filtered documents; after the partitioning, for each filtered document in each cluster of the multiple clusters, associating the customer feedback content that was filtered from the filtered document with the cluster to which the filtered document belongs and the retained support content from that filtered document, and storing association information in memory; receiving a new document including customer feedback related to an issue; determining, using the association information in the memory, that the customer feedback of the new document matches the customer feedback content associated with one of the clusters; and providing, over a communication connection with a user associated with the new document, the retained support content associated with the cluster based on the match between the customer feedback of the new document and the customer feedback content that was associated with the cluster after the partitioning. 3. The method of claim 1 , wherein partitioning the plurality of filtered documents into multiple clusters comprises categorizing the support content of each of the plurality of filtered documents according to a topic associated with said one of the multiple clusters. | 0.571914 |
33. A system, comprising: means for identifying a document based on an address associated with the document, the document including links that point to linked documents; means for determining scores for a plurality of the links in the identified document; means for comparing the determined scores to a threshold; means for determining that a score for one of the plurality of links is greater than the threshold; means for determining additional information regarding the linked document pointed to by the one of the plurality of links; and means for providing the identified document with the additional information to a user. | 33. A system, comprising: means for identifying a document based on an address associated with the document, the document including links that point to linked documents; means for determining scores for a plurality of the links in the identified document; means for comparing the determined scores to a threshold; means for determining that a score for one of the plurality of links is greater than the threshold; means for determining additional information regarding the linked document pointed to by the one of the plurality of links; and means for providing the identified document with the additional information to a user. 37. The system of claim 33 , wherein the means for determining the scores includes: means for determining a measure of popularity associated with each of the linked documents, means for determining a score for each of the linked documents based on the determined measure of popularity, and means for associating the determined scores for the linked documents with the corresponding links in the identified document. | 0.824113 |
14. One or more non-transitory computer readable media comprising executable code that, when executed, cause one or more computing devices to perform a process comprising: training, based at least partly on user data regarding a user, a personal model for use in named entity recognition, the personal model comprising a named entity recognition model; interpolating the personal model and a general model to obtain a composite model, the general model comprising a named entity recognition model; receiving audio input of an utterance, the audio input captured via a microphone; generating a transcription of the utterance based at least partly on the audio input and performing named entity recognition on the transcription using the composite model to generate a sequence of named entities. | 14. One or more non-transitory computer readable media comprising executable code that, when executed, cause one or more computing devices to perform a process comprising: training, based at least partly on user data regarding a user, a personal model for use in named entity recognition, the personal model comprising a named entity recognition model; interpolating the personal model and a general model to obtain a composite model, the general model comprising a named entity recognition model; receiving audio input of an utterance, the audio input captured via a microphone; generating a transcription of the utterance based at least partly on the audio input and performing named entity recognition on the transcription using the composite model to generate a sequence of named entities. 16. The one or more non-transitory computer readable media of claim 14 , wherein interpolation of the personal model and the general model comprises interpolation of an element of the personal model with a corresponding element of the general model. | 0.705174 |
21. A method for generating a video test pattern, the method comprising: accepting input from a text definition file that contains a series of attributes of a particular video test pattern to be generated, the series of attributes of the particular video test pattern including one or more segment description statements; retrieving the series of attributes from the text definition file and populating a first memory with segment description codes describing the segments of the particular video test pattern based on the retrieved segment description statements; populating a second memory with line definitions of the particular video test pattern, each line definition described by one or more segments of the particular video test pattern; and producing an output of a series of horizontal lines of the particular video test pattern by, for each of the series of horizontal lines of the particular video test pattern, inserting data into the output derived from the line definitions of the second memory. | 21. A method for generating a video test pattern, the method comprising: accepting input from a text definition file that contains a series of attributes of a particular video test pattern to be generated, the series of attributes of the particular video test pattern including one or more segment description statements; retrieving the series of attributes from the text definition file and populating a first memory with segment description codes describing the segments of the particular video test pattern based on the retrieved segment description statements; populating a second memory with line definitions of the particular video test pattern, each line definition described by one or more segments of the particular video test pattern; and producing an output of a series of horizontal lines of the particular video test pattern by, for each of the series of horizontal lines of the particular video test pattern, inserting data into the output derived from the line definitions of the second memory. 22. The method for generating video test patterns according to claim 21 in which accepting input from a text definition file comprises accepting input from an XML file. | 0.645478 |
53. A computer program product (CPP) comprising a computer usable medium having computer readable program code (CRPC) means embodied in the medium for causing an application program to execute on a computer processor to perform quantization of a vector representative of a portion of a speech or audio signal, the CRPC means comprising: first CRPC means for causing the processor to determine legal candidate codevectors among a set of candidate codevectors based upon one or more illegal space definitions, the candidate codevectors including line spectral frequencies (LSFs), wherein the one or more illegal space definitions define invalid spacing characteristics of LSFs; second CRPC means for causing the processor to derive a separate error term corresponding to each legal candidate codevector, each error term being a function of the vector and the corresponding legal candidate codevector; third CRPC means for causing the processor to determine a best legal candidate codevector among the legal candidate codevectors based on the error terms, whereby the best legal candidate codevector corresponds to a quantization of the vector; and fourth CRPC means for causing the processor to transmit to a decoder a signal representative of the portion of the speech or audio signal based on the best legal candidate codevector. | 53. A computer program product (CPP) comprising a computer usable medium having computer readable program code (CRPC) means embodied in the medium for causing an application program to execute on a computer processor to perform quantization of a vector representative of a portion of a speech or audio signal, the CRPC means comprising: first CRPC means for causing the processor to determine legal candidate codevectors among a set of candidate codevectors based upon one or more illegal space definitions, the candidate codevectors including line spectral frequencies (LSFs), wherein the one or more illegal space definitions define invalid spacing characteristics of LSFs; second CRPC means for causing the processor to derive a separate error term corresponding to each legal candidate codevector, each error term being a function of the vector and the corresponding legal candidate codevector; third CRPC means for causing the processor to determine a best legal candidate codevector among the legal candidate codevectors based on the error terms, whereby the best legal candidate codevector corresponds to a quantization of the vector; and fourth CRPC means for causing the processor to transmit to a decoder a signal representative of the portion of the speech or audio signal based on the best legal candidate codevector. 54. The CPP of claim 53 , wherein the fourth CRPC means comprise means for causing the processor to transmit to the decoder at least one of the best legal candidate codevector, and an index identifying the best legal candidate codevector. | 0.617678 |
1. A computer-implemented method, the method comprising: at a processing engine, detecting addition of content to a document or selection of content from the document; generating a query based on the added or selected content; submitting the query to a search service for an enterprise, the search service for searching data of the enterprise; receiving a result from the search service in response to the query; and presenting the result by integrating the result into a user interface for presenting the document, wherein the presented result comprise multiple suggestions including at least one of: a people suggestion indicating a user associated with the enterprise and aligned with the content, a document suggestion indicating a document associated with the enterprise and aligned with the content, or a statistics suggestion indicating a statistic associated with the enterprise. | 1. A computer-implemented method, the method comprising: at a processing engine, detecting addition of content to a document or selection of content from the document; generating a query based on the added or selected content; submitting the query to a search service for an enterprise, the search service for searching data of the enterprise; receiving a result from the search service in response to the query; and presenting the result by integrating the result into a user interface for presenting the document, wherein the presented result comprise multiple suggestions including at least one of: a people suggestion indicating a user associated with the enterprise and aligned with the content, a document suggestion indicating a document associated with the enterprise and aligned with the content, or a statistics suggestion indicating a statistic associated with the enterprise. 3. The computer-implemented method of claim 1 , further comprising extracting a key word based on the content using a business model, wherein the extracting the key word is implemented using an Object Model (OM) of a word processor that is used for producing the document. | 0.783212 |
5. The chatting system according to claim 1 , wherein the pet master language information base stores the language characteristics of the pet master and the adjusted language characteristics of the pet master. | 5. The chatting system according to claim 1 , wherein the pet master language information base stores the language characteristics of the pet master and the adjusted language characteristics of the pet master. 6. The chatting system according to claim 5 , the pet master language information base is set in the questioning and answering server device, or set independently. | 0.942678 |
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