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21. An electronic device, comprising: one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: receiving an audio input comprising user speech; converting the user speech of the audio input into a textual representation of the user speech; determining a primary user intent for the textual representation; identifying a first type of concept referred to by the primary user intent; identifying a first substring from the textual representation corresponding to the first type of concept; determining a secondary user intent for the first substring; and performing a task flow comprising one or more tasks based at least in part on the primary user intent for the textual representation and the secondary user intent for the first substring.
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21. An electronic device, comprising: one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: receiving an audio input comprising user speech; converting the user speech of the audio input into a textual representation of the user speech; determining a primary user intent for the textual representation; identifying a first type of concept referred to by the primary user intent; identifying a first substring from the textual representation corresponding to the first type of concept; determining a secondary user intent for the first substring; and performing a task flow comprising one or more tasks based at least in part on the primary user intent for the textual representation and the secondary user intent for the first substring. 25. The device of claim 21 , wherein determining the secondary user intent for the first substring comprises: determining a confidence score for a plurality of interpretations of the first substring; and determining the secondary user intent for the first substring based on an interpretation of the plurality of interpretations of the first substring having the highest confidence score.
| 0.55534 |
1. A method comprising operating a computer system to perform steps of: receiving a document having: markup language constructs comprising a plurality of tags in a first section of the document comprising a first plurality of lines of code; and a plurality of function declarations in a second section of the document separate from the first section of the document and comprising a second plurality of lines of code, the plurality of function declarations comprising the second plurality of lines of code, which define a plurality of corresponding functions, wherein one or more of the function declarations correspond to tags in the first section and have function names the same as tag names of the corresponding tags; and performing a step of tag processing on a first tag among the plurality of tags in the markup language constructs, including: executing a body of the first tag and producing tag output; and subsequent to executing the body of the first tag, invoking a first function, declared among the plurality of function declarations, having a function name that is the same as a tag name of the first tag, and during invocation of the first function accessing the tag output produced as a result of executing the body of the first tag.
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1. A method comprising operating a computer system to perform steps of: receiving a document having: markup language constructs comprising a plurality of tags in a first section of the document comprising a first plurality of lines of code; and a plurality of function declarations in a second section of the document separate from the first section of the document and comprising a second plurality of lines of code, the plurality of function declarations comprising the second plurality of lines of code, which define a plurality of corresponding functions, wherein one or more of the function declarations correspond to tags in the first section and have function names the same as tag names of the corresponding tags; and performing a step of tag processing on a first tag among the plurality of tags in the markup language constructs, including: executing a body of the first tag and producing tag output; and subsequent to executing the body of the first tag, invoking a first function, declared among the plurality of function declarations, having a function name that is the same as a tag name of the first tag, and during invocation of the first function accessing the tag output produced as a result of executing the body of the first tag. 3. The method of claim 1 wherein executing the body of the first tag includes tag processing child tags in the body before invoking the first function referenced by the first tag.
| 0.550896 |
1. In a computer system having a relational database system, a method comprising: creating a number of materialized query tables (MQTs) within the database system; defining one or more database table specifications, including a primary key of a table for a number of tables; receiving an incoming query at the database system; in response to the incoming query referencing a first subset of a set of tables, identifying an MQT with a definition query that references the set of tables, wherein said first subset includes one of: (a) a number of fact tables and a group of dimension tables; (b) a number of source tables and a group of dependent tables; and (c) a number of referencing tables and a group of referenced tables; determining when the MQT is a candidate match for the incoming query; identifying one or more candidate MQTs; selecting an optimal MQT from among the one or more candidate MQTs; and when (a) a definition query of the MQT uses a corresponding group-by column list to reference a first number of columns from a set of tables and (b) the incoming query references a second number of columns from the same set of tables, determining one or more of the following: (1) whether one or more of the first number of columns is identical to one or more of the second number of columns; (2) whether one or more of the first number of columns is not contained within the second number of columns; (3) whether one or more of the second number of columns is not contained within the first number of columns; and (4) whether the first number of columns functionally determines the second number of columns.
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1. In a computer system having a relational database system, a method comprising: creating a number of materialized query tables (MQTs) within the database system; defining one or more database table specifications, including a primary key of a table for a number of tables; receiving an incoming query at the database system; in response to the incoming query referencing a first subset of a set of tables, identifying an MQT with a definition query that references the set of tables, wherein said first subset includes one of: (a) a number of fact tables and a group of dimension tables; (b) a number of source tables and a group of dependent tables; and (c) a number of referencing tables and a group of referenced tables; determining when the MQT is a candidate match for the incoming query; identifying one or more candidate MQTs; selecting an optimal MQT from among the one or more candidate MQTs; and when (a) a definition query of the MQT uses a corresponding group-by column list to reference a first number of columns from a set of tables and (b) the incoming query references a second number of columns from the same set of tables, determining one or more of the following: (1) whether one or more of the first number of columns is identical to one or more of the second number of columns; (2) whether one or more of the first number of columns is not contained within the second number of columns; (3) whether one or more of the second number of columns is not contained within the first number of columns; and (4) whether the first number of columns functionally determines the second number of columns. 5. The method of claim 1 , wherein said database table specifications further include one or more of the following: (1) a physical referential integrity constraint for a number of fact-to-dimension table joins and dimension-to-dimension table joins; (2) an informational referential integrity constraint for a number of fact-to-dimension table joins and dimension-to-dimension table joins; (3) a number of functionally dependent relationships between a plurality of columns of a table for a number of tables within the database system; (4) one or more physical not-null table check constraints are defined for nullable foreign key columns within a referential constraint; and (5) one or more informational not-null table check constraints are defined for nullable foreign key columns within a referential constraint; wherein the column data of said foreign key columns are not null.
| 0.667262 |
10. The data processing system of claim 9 , wherein the modify data structure further identifies an array of reservoir data blocks in the model to be modified, and further including one of the nodes determining whether the identified array of reservoir data blocks in the model is included in a No Modify List; and if so, the processor nodes performing the step of inhibiting the determining if the modify data structure identifies an operator.
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10. The data processing system of claim 9 , wherein the modify data structure further identifies an array of reservoir data blocks in the model to be modified, and further including one of the nodes determining whether the identified array of reservoir data blocks in the model is included in a No Modify List; and if so, the processor nodes performing the step of inhibiting the determining if the modify data structure identifies an operator. 12. The data processing system of claim 10 wherein the nodes in parsing the computer recognizable token perform bison processing.
| 0.873513 |
17. The non-transitory computer-readable storage medium of claim 16 , wherein transforming the 3 D-IC die description into a set of 2D-IC die descriptions involves transforming the TSV die into one or more 2D-IC die descriptions.
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17. The non-transitory computer-readable storage medium of claim 16 , wherein transforming the 3 D-IC die description into a set of 2D-IC die descriptions involves transforming the TSV die into one or more 2D-IC die descriptions. 18. The non-transitory computer-readable storage medium of claim 17 , wherein transforming the TSV die into one or more 2D-IC die descriptions involves: projecting the back-side layer stack onto the top of the front-side layer stack of the TSV die to create a virtual front-side layer stack, thereby removing the back-side layer stack, thereby transforming the double-sided substrate into a single-sided substrate; and coupling the TSV to the virtual front-side layer stack while decoupling the TSV from the single-sided substrate, thereby transforming the TSV die into a 2D-IC die description.
| 0.778123 |
1. A method of network security administration comprising the steps of: (a) receiving, by a computer system, a bit string that encodes a natural-language request for adiusting a security policy of a computer network; (b) parsing, by said computer system, said bit string to identify: (i) at least one object, and (ii) an action to be applied to said at least one object; (c) said computer system, in response to said identifying of said at least one object, displaying a description of one of said at least one object: (d) displaying, by said computer system, a menu of at least one operation that is applicable to said at least one object; and, (e) displaying, by said computer system, said natural-language request; and wherein said menu is displayed in association with a portion of said display of said natural-language request that includes a natural-language representation of said at least one object.
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1. A method of network security administration comprising the steps of: (a) receiving, by a computer system, a bit string that encodes a natural-language request for adiusting a security policy of a computer network; (b) parsing, by said computer system, said bit string to identify: (i) at least one object, and (ii) an action to be applied to said at least one object; (c) said computer system, in response to said identifying of said at least one object, displaying a description of one of said at least one object: (d) displaying, by said computer system, a menu of at least one operation that is applicable to said at least one object; and, (e) displaying, by said computer system, said natural-language request; and wherein said menu is displayed in association with a portion of said display of said natural-language request that includes a natural-language representation of said at least one object. 3. The method of claim 1 , wherein said description is selected from a group consisting of a synonym, a genus and an indication that said at least one object is unknown.
| 0.625506 |
14. The system of claim 13 , further comprising: for a given protocol component, determining that a given context entry in the context store is for use by a given protocol implemented by the given protocol component and processing the canonical enveloped message using the given context entry.
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14. The system of claim 13 , further comprising: for a given protocol component, determining that a given context entry in the context store is for use by a given protocol implemented by the given protocol component and processing the canonical enveloped message using the given context entry. 16. The system of claim 14 , wherein processing the canonical enveloped message using the given context entry comprises adding or modifying a metadata element of the context entry such that the metadata element of the context entry comprises information about the given protocol component that added or modified the context entry.
| 0.919952 |
10. An apparatus having at least one processor in connection or communication with at least one memory and configured to: receive at a receiver of the apparatus information of at least one word spelled by one or more users on one or more respective game boards of one or more respective displays; determine for each word which is received, if the respective word is of a first type or of a second type, the plurality of words of the second type being categorised as more common than the plurality of words of the first type; and selectively update at least one dictionary stored in the at least one memory in response to the determining and satisfying of at least one condition, said at least one dictionary comprising the words of the first type and the words of the second type, wherein said at least one dictionary is selectively updated to change a status of a received word of the first type to be a word of the second type.
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10. An apparatus having at least one processor in connection or communication with at least one memory and configured to: receive at a receiver of the apparatus information of at least one word spelled by one or more users on one or more respective game boards of one or more respective displays; determine for each word which is received, if the respective word is of a first type or of a second type, the plurality of words of the second type being categorised as more common than the plurality of words of the first type; and selectively update at least one dictionary stored in the at least one memory in response to the determining and satisfying of at least one condition, said at least one dictionary comprising the words of the first type and the words of the second type, wherein said at least one dictionary is selectively updated to change a status of a received word of the first type to be a word of the second type. 11. An apparatus as set forth in claim 10 , wherein the plurality of words of the first type are stored in a first dictionary, and the plurality of words of the second type are stored in a second dictionary.
| 0.790885 |
22. The system of claim 20 , wherein the geographic-location information comprises signal-information associated with one or more signals received by the mobile-client system, the signals comprising a Global Positioning System (GPS) signal, a Wi-Fi signal, a BLUETOOTH signal, a cellular signal, or a near field communication (NFC) signal.
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22. The system of claim 20 , wherein the geographic-location information comprises signal-information associated with one or more signals received by the mobile-client system, the signals comprising a Global Positioning System (GPS) signal, a Wi-Fi signal, a BLUETOOTH signal, a cellular signal, or a near field communication (NFC) signal. 23. The system of claim 22 , wherein the signal-information comprises a signal strength of one of the signals or an identifier of a device that sent one of the signals.
| 0.869065 |
21. The system of claim 20 , wherein the exam resource file organizes test data into a first data structure and a second data structure which is dependent upon the first data structure.
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21. The system of claim 20 , wherein the exam resource file organizes test data into a first data structure and a second data structure which is dependent upon the first data structure. 22. The system of claim 21 , wherein the first data structure defines an element of information from the at least one segment of test definition language and wherein the second data structure contains attributes of the test data.
| 0.917681 |
1. A method of optimizing an output ranked list of recommended items given an input user, an input item list, and an input context, comprising: providing a multidimensional data set that comprises information of interactions from a plurality of users with a plurality of items and in a plurality of contexts; factorizing the multidimensional data set into a number of two-dimensional matrices, the number of two-dimensional matrices being equivalent to the number of dimensions that the multidimensional data set has; computing a mathematical recommendation model by optimizing an objective function over the two-dimensional matrices into which the multidimensional data set has been factorized, the recommendation model comprising a score value for each combination of user, item and context; and computing the output ranked list by applying the computed recommendation model to the input user, input item list and input context, wherein the recommendation model further comprises a ranked list of recommended items for each user and context, being each ranked list determined by sorting the scores of the plurality of items for each user and context; and wherein the objective function is a continuous function with infinite continuous derivatives that quantifies a relevance of the recommended items of each ranked list of the recommendation model, calculated over at least some of the plurality of users and over at least some of the plurality of contexts.
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1. A method of optimizing an output ranked list of recommended items given an input user, an input item list, and an input context, comprising: providing a multidimensional data set that comprises information of interactions from a plurality of users with a plurality of items and in a plurality of contexts; factorizing the multidimensional data set into a number of two-dimensional matrices, the number of two-dimensional matrices being equivalent to the number of dimensions that the multidimensional data set has; computing a mathematical recommendation model by optimizing an objective function over the two-dimensional matrices into which the multidimensional data set has been factorized, the recommendation model comprising a score value for each combination of user, item and context; and computing the output ranked list by applying the computed recommendation model to the input user, input item list and input context, wherein the recommendation model further comprises a ranked list of recommended items for each user and context, being each ranked list determined by sorting the scores of the plurality of items for each user and context; and wherein the objective function is a continuous function with infinite continuous derivatives that quantifies a relevance of the recommended items of each ranked list of the recommendation model, calculated over at least some of the plurality of users and over at least some of the plurality of contexts. 10. The method of claim 1 wherein the plurality of contexts comprise at least one context variable selected from a group comprising: time, date, season, location, activity, weather, emotional state, social network, user device, company and speed.
| 0.579852 |
1. A computer-implemented method of generating a pronunciation model, the method comprising: identifying a generic model of speech composed of phonemes; identifying a family of interchangeable phonemic alternatives for a phoneme in the generic model of speech; labeling each interchangeable phonemic alternative in the family as referring to the phoneme; and generating a pronunciation model which substitutes the family of interchangeable phonemic alternatives for the phoneme.
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1. A computer-implemented method of generating a pronunciation model, the method comprising: identifying a generic model of speech composed of phonemes; identifying a family of interchangeable phonemic alternatives for a phoneme in the generic model of speech; labeling each interchangeable phonemic alternative in the family as referring to the phoneme; and generating a pronunciation model which substitutes the family of interchangeable phonemic alternatives for the phoneme. 3. The computer-implemented method of claim 1 , wherein interchangeable phonemic alternatives represent a same phoneme for different dialectal classes.
| 0.602094 |
1. A method performed by data processing apparatus, the method comprising: receiving one or more characters from a user device; obtaining an auto-completion corresponding to the one or more characters; obtaining data identifying multiple corpora and a respective corpus score associated with the auto-completion for each identified corpus; selecting a first corpus of the multiple corpora whose corpus score satisfies a threshold and a universal search corpus that includes two or more of the multiple corpora and excludes the first corpus; and providing, for display in a drop-down menu and to the user device, a first drop down entry that indicates a first instance of the auto-completion and that includes an icon representing the first corpus adjacent to the first instance of the auto-completion, and a second drop down entry that indicates a second instance of the auto-completion that corresponds to the universal search corpus and that excludes the icon representing the first corpus, wherein the universal search corpus includes two or more of a web search corpus, a places search corpus, a literature search corpus, a patent search corpus, an images search corpus, a videos search corpus, a news search corpus, a shopping search corpus, and a blocs search corpus.
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1. A method performed by data processing apparatus, the method comprising: receiving one or more characters from a user device; obtaining an auto-completion corresponding to the one or more characters; obtaining data identifying multiple corpora and a respective corpus score associated with the auto-completion for each identified corpus; selecting a first corpus of the multiple corpora whose corpus score satisfies a threshold and a universal search corpus that includes two or more of the multiple corpora and excludes the first corpus; and providing, for display in a drop-down menu and to the user device, a first drop down entry that indicates a first instance of the auto-completion and that includes an icon representing the first corpus adjacent to the first instance of the auto-completion, and a second drop down entry that indicates a second instance of the auto-completion that corresponds to the universal search corpus and that excludes the icon representing the first corpus, wherein the universal search corpus includes two or more of a web search corpus, a places search corpus, a literature search corpus, a patent search corpus, an images search corpus, a videos search corpus, a news search corpus, a shopping search corpus, and a blocs search corpus. 4. The method of claim 1 , wherein obtaining data identifying two or more corpora comprises obtaining data identifying two or more of: a web search corpus; a places search corpus; a literature search corpus; a patent search corpus; an images search corpus; a videos search corpus; a news search corpus; a shopping search corpus; and a blogs search corpus.
| 0.663148 |
42. The apparatus of claim 41 , wherein the search request form comprises: a user identification and authorization information; a user administration and billing information; a search request qualification; a search request criteria; and a content type.
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42. The apparatus of claim 41 , wherein the search request form comprises: a user identification and authorization information; a user administration and billing information; a search request qualification; a search request criteria; and a content type. 43. The apparatus of claim 42 , wherein the user identification and authorization information comprises: a current user identification; a user network address; a public encryption key; digital rights management parameters; a preferred content format; and a current hardware configuration, wherein the current hardware configuration is provided to a coder and content formatter that formats the search request form for delivery to a user terminal.
| 0.878084 |
17. A converting text of method, comprising the steps of: temporarily storing a first plurality of received characters corresponding to a first language in a first predetermined buffer until a new character corresponding to a second language is input, wherein a first character of an input multiple language text corresponds to said first language, said multiple language text including text of said first and second languages; when said new character corresponding to said second language distinguishable from said first language is input, converting said first plurality of received characters corresponding to said first language into sound using a first language text-to-speech unit; temporarily storing a second plurality of received characters corresponding to said second language in a second predetermined buffer until a character corresponding to said first language is input, said new character being among said second plurality of received characters; and converting said second plurality of received characters corresponding to said second language into sound using a second language text-to-speech unit.
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17. A converting text of method, comprising the steps of: temporarily storing a first plurality of received characters corresponding to a first language in a first predetermined buffer until a new character corresponding to a second language is input, wherein a first character of an input multiple language text corresponds to said first language, said multiple language text including text of said first and second languages; when said new character corresponding to said second language distinguishable from said first language is input, converting said first plurality of received characters corresponding to said first language into sound using a first language text-to-speech unit; temporarily storing a second plurality of received characters corresponding to said second language in a second predetermined buffer until a character corresponding to said first language is input, said new character being among said second plurality of received characters; and converting said second plurality of received characters corresponding to said second language into sound using a second language text-to-speech unit. 18. The method of claim 17, wherein said first and second languages are selected from among Korean, English, Japanese, Latin, Greek, German, French, Italian, Mandarin Chinese, Russian, Spanish, and Swedish.
| 0.742386 |
9. In a general purpose computer, a method for automatically testing a business intelligence artifact in a business intelligence system, comprising: providing a version of a business intelligence artifact in the business intelligence system, wherein the business intelligence artifact is a user-authored object that produces output when the business intelligence artifact is executed in the business intelligence system, and wherein the business intelligence artifact is selected from the group consisting of: a report specification, an analysis cube, and a metadata model; creating at least one assertion to verify the desired function of the business intelligence artifact; testing, with an automated agent interfaced with the business intelligence system, the business intelligence artifact for problems by determining whether execution of the current version of the business intelligence artifact in the business intelligence system satisfies the conditions of the at least one assertion; reporting errors in the current version of the business intelligence artifact if problems are detected during testing; and recording one or more corrections made to the current version of the business intelligence artifact as a subsequent version of the business intelligence artifact.
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9. In a general purpose computer, a method for automatically testing a business intelligence artifact in a business intelligence system, comprising: providing a version of a business intelligence artifact in the business intelligence system, wherein the business intelligence artifact is a user-authored object that produces output when the business intelligence artifact is executed in the business intelligence system, and wherein the business intelligence artifact is selected from the group consisting of: a report specification, an analysis cube, and a metadata model; creating at least one assertion to verify the desired function of the business intelligence artifact; testing, with an automated agent interfaced with the business intelligence system, the business intelligence artifact for problems by determining whether execution of the current version of the business intelligence artifact in the business intelligence system satisfies the conditions of the at least one assertion; reporting errors in the current version of the business intelligence artifact if problems are detected during testing; and recording one or more corrections made to the current version of the business intelligence artifact as a subsequent version of the business intelligence artifact. 14. The method of claim 9 , wherein the conditions of the at least one assertion comprise expectations pertaining to the data content in a business intelligence output generated by execution of the current version of the business intelligence artifact.
| 0.567387 |
1. A method of providing voicemail to a mobile telephone, in which a caller initiates a voice call to the mobile telephone, but that call is diverted to a voicemail server, with the caller then leaving a voice message on the voicemail server, the method comprising the steps of: when a recording time of the voice message exceeds a maximum time, sending a standard notification to the mobile telephone indicating that an end-user of the mobile telephone has a new voicemail to listen to; when the recording time of the voice message is less than a maximum time: converting the voice message to an audio file format; sending or streaming the audio file to a voice to text transcription system comprising at least one computer adapted to play back the voice message to an operator to enable the operator to transcribe the voice message into the computer to generate a transcribed text message; including a unique identification in the transcribed text message that links the text message to the voice message held at the voicemail server; sending the transcribed text message to the mobile phone; and providing the voice message held at the server to the mobile telephone when the end-user of the mobile telephone selects or uses the unique identification.
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1. A method of providing voicemail to a mobile telephone, in which a caller initiates a voice call to the mobile telephone, but that call is diverted to a voicemail server, with the caller then leaving a voice message on the voicemail server, the method comprising the steps of: when a recording time of the voice message exceeds a maximum time, sending a standard notification to the mobile telephone indicating that an end-user of the mobile telephone has a new voicemail to listen to; when the recording time of the voice message is less than a maximum time: converting the voice message to an audio file format; sending or streaming the audio file to a voice to text transcription system comprising at least one computer adapted to play back the voice message to an operator to enable the operator to transcribe the voice message into the computer to generate a transcribed text message; including a unique identification in the transcribed text message that links the text message to the voice message held at the voicemail server; sending the transcribed text message to the mobile phone; and providing the voice message held at the server to the mobile telephone when the end-user of the mobile telephone selects or uses the unique identification. 3. The method of claim 1 in which the transcription system automatically adds the unique identification to the transcribed text message.
| 0.549349 |
57. At least one computer readable medium as recited in claim 46 , wherein said augmenting adds a plurality of text strings representing different native pronunciations of the proper noun.
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57. At least one computer readable medium as recited in claim 46 , wherein said augmenting adds a plurality of text strings representing different native pronunciations of the proper noun. 59. At least one computer readable medium as recited in claim 57 , wherein each native pronunciation of the proper noun is added as a native pronunciation of a different proper noun, and wherein said method further comprises supplying an identified proper noun to an application that determines the identified proper noun corresponds to the proper noun stored as text for which the at least one native pronunciation was predicted.
| 0.646359 |
14. A computer server which hosts a cloud-based environment shared among a user and collaborators of the user, the server comprising: a processor; and a memory unit having instructions stored thereon which when executed by the processor, causes the processor to: convert a plurality of resources in a document file into a plurality of files that are native to a browser; create a style sheet based on the document file, wherein an aggregate of the plurality of files together with the style sheet are configured to cause the browser to render an appearance of the document file; and generate, based on the document file, an invisible layer to be laid on the appearance, wherein the invisible layer enables actions to be performed on the document file.
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14. A computer server which hosts a cloud-based environment shared among a user and collaborators of the user, the server comprising: a processor; and a memory unit having instructions stored thereon which when executed by the processor, causes the processor to: convert a plurality of resources in a document file into a plurality of files that are native to a browser; create a style sheet based on the document file, wherein an aggregate of the plurality of files together with the style sheet are configured to cause the browser to render an appearance of the document file; and generate, based on the document file, an invisible layer to be laid on the appearance, wherein the invisible layer enables actions to be performed on the document file. 19. The server of claim 14 , wherein the plurality of resources comprise text, and wherein the processor is further caused to: map the text using to a plurality of equivalent scalable vector graphic operations; and provide the text for the generation of the invisible layer.
| 0.540957 |
11. A computer program product that comprises a non-transient computer readable storage medium containing computer executable instructions for assisting a user to design a user interface (UI), comprising: instructions to process a command to automatically generate a design for an incomplete UI design, the incomplete UI design comprising a user-selected UI component; instructions to identify a design example comprising a corresponding UI component similar to the user-selected UI component and a recommended UI component; and instructions to provide the recommended UI component for display in the incomplete UI design.
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11. A computer program product that comprises a non-transient computer readable storage medium containing computer executable instructions for assisting a user to design a user interface (UI), comprising: instructions to process a command to automatically generate a design for an incomplete UI design, the incomplete UI design comprising a user-selected UI component; instructions to identify a design example comprising a corresponding UI component similar to the user-selected UI component and a recommended UI component; and instructions to provide the recommended UI component for display in the incomplete UI design. 18. The computer program product of claim 11 , further comprising: instructions to, responsive to a user command confirming the recommended UI component, incorporate the recommended UI component as a part of the incomplete UI design.
| 0.624208 |
1. A method for generating a search template, comprising: capturing a user input defining at least one search tag and provided by a user using a user input subsystem; selecting a search template from a template database subsystem and using a template retrieval subsystem according to said user input, said search template defining a plurality of search sources and a plurality of logical relations therebetween; acquiring search results by using said search template to search search source accessible via a network; presenting the search results to the user; making the search template available to users other than the user via the network; and using crowdsourcing to update the search template so that the users input parameters from the users other than the user are used to update the search template.
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1. A method for generating a search template, comprising: capturing a user input defining at least one search tag and provided by a user using a user input subsystem; selecting a search template from a template database subsystem and using a template retrieval subsystem according to said user input, said search template defining a plurality of search sources and a plurality of logical relations therebetween; acquiring search results by using said search template to search search source accessible via a network; presenting the search results to the user; making the search template available to users other than the user via the network; and using crowdsourcing to update the search template so that the users input parameters from the users other than the user are used to update the search template. 9. The method of claim 1 , wherein said plurality of search sources are arranged in a plurality of input fields and a plurality of output fields which are connected by said plurality of logical relations.
| 0.732368 |
1. A method of measuring performance parameters and reporting on at least one aspect of respective performance parameters of a plurality of agents, the method comprising at least the following: measuring in an agent training system at least a plurality of data, including data representing agent performance parameters for each of the plurality, of agents, wherein the plurality of data representing agent performance parameters includes data related to at least one of either sections or teams to which an agent is assigned or associated, personal development meetings (PDMs) during which the agent receives constructive criticism or other remedial instruction related to improving job performance, wherein the plurality of data is related to improving the job performance of at least one of the plurality of agents on an individual agent-basis or a group-level agent-basis; receiving from the agent training system the plurality of data from a first input representing respective performance parameters pertaining to the plurality of agents on the individual agent-basis or the group-level agent-basis working at least one call center; organizing the at least plurality of data related to improving the job performance received from the first input in a data store in at least one of a plurality of user-specified parameters; storing the at least plurality of data related to improving the job performance received from the first input in the data store arranged in at least one of the plurality of user-specified parameters for subsequent query and retrieval; receiving at least one query of the data store by a user pertaining to the improving job performance of at least one of the agents on the individual agent-basis or the group-level agent-basis; processing an output determined by the at least first input of at least the plurality of the data related to the improving job performance in response to the query and processing the output results in the plurality of data related to remedial instruction related to improving a job performance arranged in one of the plurality of user-specified parameters, including at least one of a productivity parameter, a conversion parameter, a schedule adherence parameter, and a number of calls parameter by a given agent; and presenting at least one report as determined by the output of the query to the at least one user.
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1. A method of measuring performance parameters and reporting on at least one aspect of respective performance parameters of a plurality of agents, the method comprising at least the following: measuring in an agent training system at least a plurality of data, including data representing agent performance parameters for each of the plurality, of agents, wherein the plurality of data representing agent performance parameters includes data related to at least one of either sections or teams to which an agent is assigned or associated, personal development meetings (PDMs) during which the agent receives constructive criticism or other remedial instruction related to improving job performance, wherein the plurality of data is related to improving the job performance of at least one of the plurality of agents on an individual agent-basis or a group-level agent-basis; receiving from the agent training system the plurality of data from a first input representing respective performance parameters pertaining to the plurality of agents on the individual agent-basis or the group-level agent-basis working at least one call center; organizing the at least plurality of data related to improving the job performance received from the first input in a data store in at least one of a plurality of user-specified parameters; storing the at least plurality of data related to improving the job performance received from the first input in the data store arranged in at least one of the plurality of user-specified parameters for subsequent query and retrieval; receiving at least one query of the data store by a user pertaining to the improving job performance of at least one of the agents on the individual agent-basis or the group-level agent-basis; processing an output determined by the at least first input of at least the plurality of the data related to the improving job performance in response to the query and processing the output results in the plurality of data related to remedial instruction related to improving a job performance arranged in one of the plurality of user-specified parameters, including at least one of a productivity parameter, a conversion parameter, a schedule adherence parameter, and a number of calls parameter by a given agent; and presenting at least one report as determined by the output of the query to the at least one user. 21. The method of claim 1 , wherein receiving data includes receiving data from a plurality of call centers, at least one of which service a given client.
| 0.541893 |
22. A computer-implemented method, comprising: identifying a document that is stored on a server in a network and that includes links to linked documents; determining scores for a plurality of the links in the identified document; comparing the determined scores to a threshold; deleting one of the plurality of links from the identified document when the determined score for the one of the links falls below the threshold; and providing, to a user, the identified document without the deleted link.
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22. A computer-implemented method, comprising: identifying a document that is stored on a server in a network and that includes links to linked documents; determining scores for a plurality of the links in the identified document; comparing the determined scores to a threshold; deleting one of the plurality of links from the identified document when the determined score for the one of the links falls below the threshold; and providing, to a user, the identified document without the deleted link. 32. The method of claim 22 , further comprising: annotating a particular one of the plurality of links, within the identified document, based on the determined score for the particular one of the plurality of links.
| 0.901655 |
1. A computer-implemented method comprising: receiving a user input at a computing device, the user input defining behavioral and static aspects of a target process artifact and comprising business process information for use in a specific business process model within an organization, the behavioral aspect comprising inputs for one or more behavioral reasoning processes comprising substitution, auto-completion, and deadlock/liveliness verification; automatically defining a query specification comprising: an axiom component expressing the static aspect using a logical expression, and a process definition component expressing the behavioral aspect using ontologized π-calculus; querying a process artifact library using the query specification, the process artifact library provided as a computer-readable repository that stores one or more of process patterns, models, fragments, and guidelines, the querying comprising: querying the process artifact library relating to the static aspect of the target process artifact to obtain a subset of the process artifact library; after querying, performing π-calculus reasoning, related to the behavioral aspect of the target process, on the subset of the process artifact library; and outputting a candidate process artifact matching the behavioral and static aspects, based on querying the process artifact library.
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1. A computer-implemented method comprising: receiving a user input at a computing device, the user input defining behavioral and static aspects of a target process artifact and comprising business process information for use in a specific business process model within an organization, the behavioral aspect comprising inputs for one or more behavioral reasoning processes comprising substitution, auto-completion, and deadlock/liveliness verification; automatically defining a query specification comprising: an axiom component expressing the static aspect using a logical expression, and a process definition component expressing the behavioral aspect using ontologized π-calculus; querying a process artifact library using the query specification, the process artifact library provided as a computer-readable repository that stores one or more of process patterns, models, fragments, and guidelines, the querying comprising: querying the process artifact library relating to the static aspect of the target process artifact to obtain a subset of the process artifact library; after querying, performing π-calculus reasoning, related to the behavioral aspect of the target process, on the subset of the process artifact library; and outputting a candidate process artifact matching the behavioral and static aspects, based on querying the process artifact library. 8. The method of claim 1 , wherein receiving the user input defining the behavioral aspect of the target process artifact further comprises: displaying a user interface comprising a business process display region displaying a business process; receiving a user selection highlighting a portion of the business process; and outputting, as the user input, an automatically generated behavioral description of the highlighted portion, described using ontologized π-calculus.
| 0.553816 |
1. In a persistent object oriented multi-user domain in which objects are distributed between computer readable media associated with a server computer and plural client computers with corresponding users, the improvement comprising: multimedia properties associated with objects in the multi-user domain for presentation on the client computers; and a bystander region property associated with selected ones of the objects and representing a perceptual range of effect on other objects of multimedia properties on the selected objects.
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1. In a persistent object oriented multi-user domain in which objects are distributed between computer readable media associated with a server computer and plural client computers with corresponding users, the improvement comprising: multimedia properties associated with objects in the multi-user domain for presentation on the client computers; and a bystander region property associated with selected ones of the objects and representing a perceptual range of effect on other objects of multimedia properties on the selected objects. 2. The domain of claim 1 in which ones of the selected objects are associated with ones of the users and are maintained on the client computers corresponding to those users and in which the selected objects have bystander region properties.
| 0.842158 |
1. An information retrieval apparatus, comprising: an input unit for inputting characters; a database for storing a name, an attribute word associated with the name, and a degree of relevance indicating a degree of relevance between the name and the attribute word; a name retrieval unit for retrieving a name including the input characters from the database to output the retrieved name as a candidate name; an attribute word generating unit for extracting an attribute word associated with the candidate name output from the name retrieval unit from the database; and an output unit for displaying the attribute word extracted by the attribute word generating unit and the candidate name from the name retrieval unit, wherein: the attribute word generating unit is configured to: obtain a degree of relevance of the candidate name associated with the attribute word from the database with respect to a combination of the extracted attribute words; calculate a degree of independency indicating a degree of difference between the extracted attribute words; calculate a degree of coverage indicating an extent to which the combination of the extracted attribute words covers the candidate names; and calculate a degree of equality indicating uniformity of a number of corresponding candidate names for each attribute word; the attribute word generating unit comprises a first score calculating unit for calculating a score of the combination of the attribute words based on at least one of the calculated degree of independency, the calculated degree of coverage and the calculated degree of equality; and the attribute word generating unit outputs the combinations of the attribute words to the output unit in a descending order of the score.
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1. An information retrieval apparatus, comprising: an input unit for inputting characters; a database for storing a name, an attribute word associated with the name, and a degree of relevance indicating a degree of relevance between the name and the attribute word; a name retrieval unit for retrieving a name including the input characters from the database to output the retrieved name as a candidate name; an attribute word generating unit for extracting an attribute word associated with the candidate name output from the name retrieval unit from the database; and an output unit for displaying the attribute word extracted by the attribute word generating unit and the candidate name from the name retrieval unit, wherein: the attribute word generating unit is configured to: obtain a degree of relevance of the candidate name associated with the attribute word from the database with respect to a combination of the extracted attribute words; calculate a degree of independency indicating a degree of difference between the extracted attribute words; calculate a degree of coverage indicating an extent to which the combination of the extracted attribute words covers the candidate names; and calculate a degree of equality indicating uniformity of a number of corresponding candidate names for each attribute word; the attribute word generating unit comprises a first score calculating unit for calculating a score of the combination of the attribute words based on at least one of the calculated degree of independency, the calculated degree of coverage and the calculated degree of equality; and the attribute word generating unit outputs the combinations of the attribute words to the output unit in a descending order of the score. 15. The information retrieval apparatus according to claim 1 , wherein the degree of coverage is an indicator indicating a ratio of the candidate names which is selected by the combination of the extracted attribute words.
| 0.73654 |
1. A system, implemented in a data processing system, for managing and querying a plurality of inter-related data sources, the system comprising: an interface to the plurality of inter-related data sources of diverse types, wherein each of the plurality of inter-related data sources has a corresponding schema that describes a corresponding data structure of a corresponding data source; a schema generator communicating with said interface, wherein the schema generator generates a federated schema that describes structures of the plurality of inter-related data sources and inter-relationships of the plurality of inter-related data sources, and wherein the schema generator further modifies the federated schema over time as the plurality of inter-related data sources undergo changes; a query generator communicating with said schema generator, wherein the query generator generates a query for the federated schema; and a storage device in communication with the data processing system, the storage device operable to store the query.
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1. A system, implemented in a data processing system, for managing and querying a plurality of inter-related data sources, the system comprising: an interface to the plurality of inter-related data sources of diverse types, wherein each of the plurality of inter-related data sources has a corresponding schema that describes a corresponding data structure of a corresponding data source; a schema generator communicating with said interface, wherein the schema generator generates a federated schema that describes structures of the plurality of inter-related data sources and inter-relationships of the plurality of inter-related data sources, and wherein the schema generator further modifies the federated schema over time as the plurality of inter-related data sources undergo changes; a query generator communicating with said schema generator, wherein the query generator generates a query for the federated schema; and a storage device in communication with the data processing system, the storage device operable to store the query. 23. The system of claim 1 wherein said schema generator modifies the federated schema when a new data source is added to the plurality of inter-related data sources.
| 0.587758 |
25. The method of claim 24 wherein said first updated version of said selectable table set further excludes any table that is not joinable with said first selected table.
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25. The method of claim 24 wherein said first updated version of said selectable table set further excludes any table that is not joinable with said first selected table. 26. The method of claim 25 wherein the database includes at least four tables and further comprising the steps of: receiving from the user a selection of a second selected table from said first updated version of said selectable table set; and presenting to the user a second updated version of said selectable table set from which the user may select a third selected table, said selectable table set excluding any table the selection of which does not form in combination with said first and second selected tables a navigable set.
| 0.867191 |
1. A method of populating a database, comprising: a) providing a plurality of information files, wherein each information file includes an object, each object including a type, an object property and an object explicit relationship; b) providing a plurality of rule files, wherein each rule file includes a relation between at least two object types, each relation including a relation property and an explicit relationship definition; c) validating the object properties and the object explicit relationships based in part on the relation properties, the explicit relationship definitions, or both; d) determining at least one implicit relationship based on at least one of the explicit relationship definitions and at least one of the object explicit relationships; e) generating at least one Structured Query Language (SQL) command representative of the at least one implicit relationship; f) executing the generated at least one SQL command on a database to store an implicit relationship definition in the form of a SQL statement; g) selecting an object from the information files; and h) generating a document by populating a presentation template with the object property of the selected object, the document having at least one hypertext link to a second document, the link based on the stored implicit relationship definition.
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1. A method of populating a database, comprising: a) providing a plurality of information files, wherein each information file includes an object, each object including a type, an object property and an object explicit relationship; b) providing a plurality of rule files, wherein each rule file includes a relation between at least two object types, each relation including a relation property and an explicit relationship definition; c) validating the object properties and the object explicit relationships based in part on the relation properties, the explicit relationship definitions, or both; d) determining at least one implicit relationship based on at least one of the explicit relationship definitions and at least one of the object explicit relationships; e) generating at least one Structured Query Language (SQL) command representative of the at least one implicit relationship; f) executing the generated at least one SQL command on a database to store an implicit relationship definition in the form of a SQL statement; g) selecting an object from the information files; and h) generating a document by populating a presentation template with the object property of the selected object, the document having at least one hypertext link to a second document, the link based on the stored implicit relationship definition. 15. The method of claim 1 , further comprising storing the at least one generated SQL command in at least one of the rules files.
| 0.649592 |
1. A system comprising: a specification engine, comprising one or more processors, configured to convert a specification, describing one or more features included in software code, into an information exchange format; the specification engine further configured to store the specification in the information exchange format in a database; the specification engine further configured to access historical details of features included in the software code ordered temporally, based on a plurality of specifications that have been converted into information exchange formats and stored in the database, to produce a temporally ordered converted specification that describes historical details of the one or more features of the software code, organized temporally; a code engine, comprising one or more processors, configured to abstract the software code corresponding to the temporally ordered converted specification into a time-stamped design; and an n-trace engine, comprising one or more processors, configured to access the temporally ordered converted specification and the time-stamped design to determine which portions of the specification trace to a particular piece of the software code and which pieces of the software code trace to a portion of a specification, based on connecting temporally-ordered data in the temporally ordered converted specification and time-stamped data of the time-stamped design; the n-trace engine further configured to generate a first time-graph, based on the determination of which portions of the specification trace to a particular piece of the software code, that sequentially orders events occurring in connection with a portion of the code; the n-trace engine further configured to generate a second time-graph based on which pieces of the software code trace to a portion of the specification, that sequentially orders events occurring in connection with a portion of the specification; a data forager, comprising one or more processors, configured to suggest testing methodologies for a particular piece of the software code based upon the historical details; and wherein the system further deploys the software code on a web platform, a mobile platform, or a console platform based upon the suggested testing methodologies.
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1. A system comprising: a specification engine, comprising one or more processors, configured to convert a specification, describing one or more features included in software code, into an information exchange format; the specification engine further configured to store the specification in the information exchange format in a database; the specification engine further configured to access historical details of features included in the software code ordered temporally, based on a plurality of specifications that have been converted into information exchange formats and stored in the database, to produce a temporally ordered converted specification that describes historical details of the one or more features of the software code, organized temporally; a code engine, comprising one or more processors, configured to abstract the software code corresponding to the temporally ordered converted specification into a time-stamped design; and an n-trace engine, comprising one or more processors, configured to access the temporally ordered converted specification and the time-stamped design to determine which portions of the specification trace to a particular piece of the software code and which pieces of the software code trace to a portion of a specification, based on connecting temporally-ordered data in the temporally ordered converted specification and time-stamped data of the time-stamped design; the n-trace engine further configured to generate a first time-graph, based on the determination of which portions of the specification trace to a particular piece of the software code, that sequentially orders events occurring in connection with a portion of the code; the n-trace engine further configured to generate a second time-graph based on which pieces of the software code trace to a portion of the specification, that sequentially orders events occurring in connection with a portion of the specification; a data forager, comprising one or more processors, configured to suggest testing methodologies for a particular piece of the software code based upon the historical details; and wherein the system further deploys the software code on a web platform, a mobile platform, or a console platform based upon the suggested testing methodologies. 9. The system of claim 1 , wherein the time graph comprises time in x-axis and number of changes in y-axis.
| 0.555859 |
1. A system for searching a plurality of digital works for comments, comprising: a server; a storage in electronic communication with the server; software searching, on a computer, the plurality of digital works for a reference to a first digital work; software identifying, on a computer, a first comment in proximity to the reference, the first comment a portion of the content in the one of the plurality of digital works having the reference and comprising a discussion of the first digital work; software associating the first comment and the first digital work in the storage; software searching, on a computer, the plurality of digital works for a reference delimiter not in proximity to a reference to another digital work; software identifying, on a computer, a second comment in proximity to the reference delimiter; software searching, on a computer, the plurality of digital works for a second digital work referenced by the second comment; and software associating the second comment and the second digital work in the storage; wherein the plurality of digital works are searched over a network; software identifying, on a computer, a reference point in the first web page referenced by the first comment; and software associating the first comment and the reference point in the storage, wherein the software identifying a reference point comprises: content parsing software parsing the first comment for a first set of identifiable elements; work parsing software parsing the first web page for a second set of identifiable elements; and comparison software comparing the first and second sets of identifiable elements to determine the reference point.
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1. A system for searching a plurality of digital works for comments, comprising: a server; a storage in electronic communication with the server; software searching, on a computer, the plurality of digital works for a reference to a first digital work; software identifying, on a computer, a first comment in proximity to the reference, the first comment a portion of the content in the one of the plurality of digital works having the reference and comprising a discussion of the first digital work; software associating the first comment and the first digital work in the storage; software searching, on a computer, the plurality of digital works for a reference delimiter not in proximity to a reference to another digital work; software identifying, on a computer, a second comment in proximity to the reference delimiter; software searching, on a computer, the plurality of digital works for a second digital work referenced by the second comment; and software associating the second comment and the second digital work in the storage; wherein the plurality of digital works are searched over a network; software identifying, on a computer, a reference point in the first web page referenced by the first comment; and software associating the first comment and the reference point in the storage, wherein the software identifying a reference point comprises: content parsing software parsing the first comment for a first set of identifiable elements; work parsing software parsing the first web page for a second set of identifiable elements; and comparison software comparing the first and second sets of identifiable elements to determine the reference point. 5. The system of claim 1 wherein the software searching for a reference delimiter searches digital works associated in the storage.
| 0.531795 |
1. A web application server executing a web application and a web application server firewall, the web application server comprising: an interface to a communications network, the communications network passing a plurality of messages between at least one client computer and the web application; a connector module executing on at least one processor of the web application server and intercepting a plurality of HTTP request messages of the plurality of messages and a plurality of HTTP response messages of the plurality of messages, wherein the HTTP request messages and HTTP response messages; a message handler module executing on the at least one processor of the web application server and parsing the HTTP request messages and the HTTP response messages into a plurality of message sections in accordance with a plurality of message model sections of a HTTP message model; a runtime engine module executing on the at least one processor of the web application server and processing the HTTP request messages and the HTTP response messages in accordance with the message sections and a plurality of bound security rules, wherein the bound security rules are each bound to one or more message model sections of the HTTP message model, and at least one bound security rule is fired upon determining that a given message includes a message section matching at least one of the message model sections to which the at least one bound security rule is bound; and a memory storing a plurality of security rules including unbound security rules and the bound security rules, wherein at least one of the bound security rules corresponding to a parent portion of the HTTP message model and is inherited by a child portion of the HTTP message model.
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1. A web application server executing a web application and a web application server firewall, the web application server comprising: an interface to a communications network, the communications network passing a plurality of messages between at least one client computer and the web application; a connector module executing on at least one processor of the web application server and intercepting a plurality of HTTP request messages of the plurality of messages and a plurality of HTTP response messages of the plurality of messages, wherein the HTTP request messages and HTTP response messages; a message handler module executing on the at least one processor of the web application server and parsing the HTTP request messages and the HTTP response messages into a plurality of message sections in accordance with a plurality of message model sections of a HTTP message model; a runtime engine module executing on the at least one processor of the web application server and processing the HTTP request messages and the HTTP response messages in accordance with the message sections and a plurality of bound security rules, wherein the bound security rules are each bound to one or more message model sections of the HTTP message model, and at least one bound security rule is fired upon determining that a given message includes a message section matching at least one of the message model sections to which the at least one bound security rule is bound; and a memory storing a plurality of security rules including unbound security rules and the bound security rules, wherein at least one of the bound security rules corresponding to a parent portion of the HTTP message model and is inherited by a child portion of the HTTP message model. 2. The web application server of claim 1 , wherein the runtime engine module is configured to select between a filter action and an allow action performed on the given message upon firing the at least one bound security rule.
| 0.558594 |
1. A method comprising: receiving, over a network by a networked system, a communication that is a part of a conversation involving one or more users, the networked system being a participant in the conversation; analyzing, by one or more hardware processors of the networked system, the communication, the analyzing including parsing key terms from the communication; identifying, by the networked system, a sentiment of a user among the one or more users based on the parsed key terms, the identified sentiment of the user identifying a level of commitment readiness among at least two sequentially increasing levels of commitment readiness, the at least two sequentially increasing levels including a penultimate level that indicates readiness to consider multiple options and including an ultimate level that indicates readiness to commit to one option among the multiple options; based on the identified level of commitment readiness among the at least two sequentially increasing levels of commitment readiness, determining whether the networked system is to respond to the communication; and in response to a determination to respond, generating, by the networked system, a customized response based on the identified level of commitment readiness among the at least two sequentially increasing levels of commitment readiness and transmitting the customized response, over the network, to a device of the user.
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1. A method comprising: receiving, over a network by a networked system, a communication that is a part of a conversation involving one or more users, the networked system being a participant in the conversation; analyzing, by one or more hardware processors of the networked system, the communication, the analyzing including parsing key terms from the communication; identifying, by the networked system, a sentiment of a user among the one or more users based on the parsed key terms, the identified sentiment of the user identifying a level of commitment readiness among at least two sequentially increasing levels of commitment readiness, the at least two sequentially increasing levels including a penultimate level that indicates readiness to consider multiple options and including an ultimate level that indicates readiness to commit to one option among the multiple options; based on the identified level of commitment readiness among the at least two sequentially increasing levels of commitment readiness, determining whether the networked system is to respond to the communication; and in response to a determination to respond, generating, by the networked system, a customized response based on the identified level of commitment readiness among the at least two sequentially increasing levels of commitment readiness and transmitting the customized response, over the network, to a device of the user. 12. The method of claim 1 , wherein the analyzing the communication further comprises applying nature language processing to identify a location that corresponds to an abbreviation.
| 0.558672 |
14. The method of claim 1 , wherein the incremental input comprises at least one prefix of a word for describing the desired content items.
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14. The method of claim 1 , wherein the incremental input comprises at least one prefix of a word for describing the desired content items. 15. The method of claim 14 , wherein the incremental input comprises at least two prefixes of a phrase for describing the desired content items.
| 0.956625 |
42. The computer-implemented method of claim 41 , wherein the automatically expanding the at least one constraint includes generating an expression that includes the at least one constraint and a further constraint that is automatically determined to correspond to the at least one constraint.
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42. The computer-implemented method of claim 41 , wherein the automatically expanding the at least one constraint includes generating an expression that includes the at least one constraint and a further constraint that is automatically determined to correspond to the at least one constraint. 45. The computer-implemented method of claim 42 , wherein the automatic expanding includes expanding any one from a group of constraints including a keyword constraint to any one from a group of constraints including, a category constraint, a search parameter constraint, and an attribute constraint.
| 0.864865 |
5. The method as recited in claim 3 , wherein generating the search forum based on the at least one search term includes selecting the search string from multiple search strings generated within a predetermined time period, the multiple search strings having a usage count during the predetermined time period that reaches a predetermined usage threshold.
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5. The method as recited in claim 3 , wherein generating the search forum based on the at least one search term includes selecting the search string from multiple search strings generated within a predetermined time period, the multiple search strings having a usage count during the predetermined time period that reaches a predetermined usage threshold. 6. The method as recited in claim 5 , further comprising associating the plurality of variations with at least one of a tag having a tag forum or a category having a category forum, each of the associated tag forums and category forums being surfaced with the search result.
| 0.842565 |
1. A computer-implemented method comprising: identifying, by one or more processors, a candidate parent entity from an entity set, wherein the entity set comprises a plurality of entities, and wherein the candidate parent entity comprises an entity identified as having one or more characteristics indicative of the entity having a parent hierarchical relationship to another entity of the entity set; identifying, by the one or more processors, a candidate child entity set from the entity set, wherein the candidate child entity set comprises entities of the entity set that are each identified as having one or more characteristics indicative of the entity having a child hierarchical relationship to the candidate parent entity; and for each entity of the candidate child entity set: comparing, by the one or more processor, characteristics of the candidate parent entity to characteristics of the entity of the candidate child entity set to determine whether a hierarchical relationship exists between the candidate parent entity and the entity of the candidate child entity set; and in response to determining that a hierarchical relationship exists between the candidate parent entity and the entity of the candidate child entity set, updating, by the one or more processors, a hierarchical index to reflect the hierarchical relationship between the candidate parent entity and the entity of the candidate child entity set.
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1. A computer-implemented method comprising: identifying, by one or more processors, a candidate parent entity from an entity set, wherein the entity set comprises a plurality of entities, and wherein the candidate parent entity comprises an entity identified as having one or more characteristics indicative of the entity having a parent hierarchical relationship to another entity of the entity set; identifying, by the one or more processors, a candidate child entity set from the entity set, wherein the candidate child entity set comprises entities of the entity set that are each identified as having one or more characteristics indicative of the entity having a child hierarchical relationship to the candidate parent entity; and for each entity of the candidate child entity set: comparing, by the one or more processor, characteristics of the candidate parent entity to characteristics of the entity of the candidate child entity set to determine whether a hierarchical relationship exists between the candidate parent entity and the entity of the candidate child entity set; and in response to determining that a hierarchical relationship exists between the candidate parent entity and the entity of the candidate child entity set, updating, by the one or more processors, a hierarchical index to reflect the hierarchical relationship between the candidate parent entity and the entity of the candidate child entity set. 13. The method of claim 1 , wherein identifying a candidate child entity set comprises identifying entities of the entity set having a physical address that is the same or similar to the address of the candidate parent entity.
| 0.848671 |
13. The method of claim 12 , further comprising: in response to receiving, from the document-rendering service, an internal resource request for an internal resource within the database system, generating a security token providing authentication for the resource.
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13. The method of claim 12 , further comprising: in response to receiving, from the document-rendering service, an internal resource request for an internal resource within the database system, generating a security token providing authentication for the resource. 14. The method of claim 13 , further comprising: attaching the security token to the internal resource request; communicating the internal resource request; and removing the security token.
| 0.905 |
1. A method for testing a computer program in conjunction with a plurality of NLS systems, said computer program being executed by a computer comprising the steps of: generating a universal script comprising a desired sequence of test commands; providing an element for performing the step of translating said universal script into an NLS script in a target language corresponding to one of said plurality of NLS systems; providing an element for performing the step of providing said NLS script to a script interpreter for interpreting said NLS script and coupling said NLS script including said translated sequence of test commands to said computer for use by said computer program; providing an element for performing the step of said computer executing said computer program using said translated sequence of test commands and providing test results.
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1. A method for testing a computer program in conjunction with a plurality of NLS systems, said computer program being executed by a computer comprising the steps of: generating a universal script comprising a desired sequence of test commands; providing an element for performing the step of translating said universal script into an NLS script in a target language corresponding to one of said plurality of NLS systems; providing an element for performing the step of providing said NLS script to a script interpreter for interpreting said NLS script and coupling said NLS script including said translated sequence of test commands to said computer for use by said computer program; providing an element for performing the step of said computer executing said computer program using said translated sequence of test commands and providing test results. 11. The method of claim 1, wherein said step of translating said universal script includes the step of replacing identified sequences of ASCII characters by semantic equivalents in said target language.
| 0.513843 |
8. A system, comprising: one or more computing devices configured to perform operations comprising: receiving an ordered result set, the ordered result set including a plurality of individual search results of a search query, the individual search results having a presentation order from lower positions to higher positions, wherein a lower position is a position that is earlier in the result set; for each of the plurality of individual search results, determining, by operation of one or more computing devices, an individual result category and a corresponding individual result score based on content in the individual search result, wherein individual result score is a score that corresponds to the individual result category determined for the individual search result; applying a weighting function to the individual result score of each individual search result, the weighting function using a position of the individual search result in the result set as a parameter, wherein a value of the function decreases if the position increases; determining a result category and a result score for the search query using the individual result categories and corresponding individual weighted result scores; and storing, by at least one of the one or more computing devices, the result category and the result score.
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8. A system, comprising: one or more computing devices configured to perform operations comprising: receiving an ordered result set, the ordered result set including a plurality of individual search results of a search query, the individual search results having a presentation order from lower positions to higher positions, wherein a lower position is a position that is earlier in the result set; for each of the plurality of individual search results, determining, by operation of one or more computing devices, an individual result category and a corresponding individual result score based on content in the individual search result, wherein individual result score is a score that corresponds to the individual result category determined for the individual search result; applying a weighting function to the individual result score of each individual search result, the weighting function using a position of the individual search result in the result set as a parameter, wherein a value of the function decreases if the position increases; determining a result category and a result score for the search query using the individual result categories and corresponding individual weighted result scores; and storing, by at least one of the one or more computing devices, the result category and the result score. 9. The system of claim 8 , wherein the weighting function is
g ( n )= n −0.5 , where g(n) is a weight to be applied to an individual result score of an individual search result, and n is a position of the individual search result in the result set, where n=1 is a lowest position.
| 0.763255 |
13. A computer-implemented method for organizing files, data items, web site members, or web pages, the method comprising: automatically aggregating with a data processor user-defined metalabels of a plurality of users for each of a plurality of electronic files, data items, web site members, or web pages into a plurality of metalabel hierarchical structures, wherein each of the plurality of electronic files, data items, web site members, or web pages is identifiable by a filename, file path, member identification, or domain name on a corresponding one of a plurality of server computers, and more than one of the plurality of electronic files, data items, web site members, or web pages is assigned a same user-defined metalabel to organize the more than one of the plurality of electronic files, data items, web site members, or web pages in a same metalabel hierarchical structure; and automatically forming keywords, each keyword comprising a string of at least two of the user-defined metalabels or a portion thereof; and automatically forming search structures of the keywords existing simultaneously with the plurality of metalabel hierarchical structures.
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13. A computer-implemented method for organizing files, data items, web site members, or web pages, the method comprising: automatically aggregating with a data processor user-defined metalabels of a plurality of users for each of a plurality of electronic files, data items, web site members, or web pages into a plurality of metalabel hierarchical structures, wherein each of the plurality of electronic files, data items, web site members, or web pages is identifiable by a filename, file path, member identification, or domain name on a corresponding one of a plurality of server computers, and more than one of the plurality of electronic files, data items, web site members, or web pages is assigned a same user-defined metalabel to organize the more than one of the plurality of electronic files, data items, web site members, or web pages in a same metalabel hierarchical structure; and automatically forming keywords, each keyword comprising a string of at least two of the user-defined metalabels or a portion thereof; and automatically forming search structures of the keywords existing simultaneously with the plurality of metalabel hierarchical structures. 17. The method of claim 13 , wherein the search structures comprises primary nodes corresponding to the keywords, and searching a wildcard query comprises automatically generating search trees at primary nodes, wherein the search trees comprise secondary nodes corresponding to the wildcard search.
| 0.534076 |
25. A computer program product comprising: a non-transitory computer readable storage medium having program code embodied therewith, the program code readable/executable by a processor to cause the processor to: generate text of a facsimile in a computer readable format; ascertain one or more of a significance and a relevance of at least a portion of the text by locating one or more keywords in the text, wherein at least two of the keywords are not adjacent in the text; analyze the text for at least one of a meaning and a context of the text; initiate a business process based on the analysis; detect a problem with the business process; generate a notification of the problem; notify one or more entities of the problem; and route at least one confirmation of receipt and/or delivery of the facsimile to one or more confirmation destinations based on the analysis, wherein the routing utilizes an outgoing communication device.
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25. A computer program product comprising: a non-transitory computer readable storage medium having program code embodied therewith, the program code readable/executable by a processor to cause the processor to: generate text of a facsimile in a computer readable format; ascertain one or more of a significance and a relevance of at least a portion of the text by locating one or more keywords in the text, wherein at least two of the keywords are not adjacent in the text; analyze the text for at least one of a meaning and a context of the text; initiate a business process based on the analysis; detect a problem with the business process; generate a notification of the problem; notify one or more entities of the problem; and route at least one confirmation of receipt and/or delivery of the facsimile to one or more confirmation destinations based on the analysis, wherein the routing utilizes an outgoing communication device. 33. The computer readable program product as recited in claim 25 , wherein at least one of the confirmation destinations corresponds to a recipient other than an intended recipient of the facsimile and/or the confirmation.
| 0.577381 |
4. The device of claim 3 in which the manifest is populated using declarative markup.
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4. The device of claim 3 in which the manifest is populated using declarative markup. 5. The device of claim 4 further including mapping instances of the application-specific voice commands to the applications for consumption as input events.
| 0.95575 |
24. A system for generating software components from one or more rule statements expressed in a natural language, the method, the system comprising: a processor; a memory coupled to the processor and the memory containing instructions that, when executed by the processor, cause the processor to: receive symbols of a vocabulary of a natural language, the natural language having grammatical rules, and details about each of the symbols; receive at least one rule statement expressed using the symbols of the vocabulary of the natural language; parse the rule statement in accordance with the natural language grammatical rules to generate a language-based structure of the rule statement that identifies the symbols used and their interrelationships with respect to a sentence structure, wherein the parsing reports how each word in the rule statement is categorized into: a) terms defined in the vocabulary, b) names defined in the vocabulary for individual things, c) connecting symbols of function forms defined in the vocabulary, d) key words and phrases, quantifiers, and logical connectives, and e) words that are not recognized; process the language-based structure of the rule statement corresponding to an expression to generate an expression model; process the expression model to generate a logical model wherein processing the expression model comprises: a) relating synonymous terms to a single concept; b) relating synonymous forms and related noun forms to a single fact type; c) relating synonymous names to a single instance; d) relating each instance to its corresponding concept; e) determining identifying fact types for concepts; f) determining generalizations between concepts; and g) reporting logical inconsistencies, if any; process the logical model to generate a platform-independent implementation model in response to a request for such generation; receive a specific target platform description; and process the platform-independent implementation model using the specific target platform description to generate a platform-specific implementation model.
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24. A system for generating software components from one or more rule statements expressed in a natural language, the method, the system comprising: a processor; a memory coupled to the processor and the memory containing instructions that, when executed by the processor, cause the processor to: receive symbols of a vocabulary of a natural language, the natural language having grammatical rules, and details about each of the symbols; receive at least one rule statement expressed using the symbols of the vocabulary of the natural language; parse the rule statement in accordance with the natural language grammatical rules to generate a language-based structure of the rule statement that identifies the symbols used and their interrelationships with respect to a sentence structure, wherein the parsing reports how each word in the rule statement is categorized into: a) terms defined in the vocabulary, b) names defined in the vocabulary for individual things, c) connecting symbols of function forms defined in the vocabulary, d) key words and phrases, quantifiers, and logical connectives, and e) words that are not recognized; process the language-based structure of the rule statement corresponding to an expression to generate an expression model; process the expression model to generate a logical model wherein processing the expression model comprises: a) relating synonymous terms to a single concept; b) relating synonymous forms and related noun forms to a single fact type; c) relating synonymous names to a single instance; d) relating each instance to its corresponding concept; e) determining identifying fact types for concepts; f) determining generalizations between concepts; and g) reporting logical inconsistencies, if any; process the logical model to generate a platform-independent implementation model in response to a request for such generation; receive a specific target platform description; and process the platform-independent implementation model using the specific target platform description to generate a platform-specific implementation model. 26. The system of claim 24 wherein the instructions further comprise instructions that, when executed by the processor, cause the processor to: provide feedback to a user regarding the rule statement to resolve logical inconsistency.
| 0.730386 |
19. An article comprising a storage medium having stored thereon instructions that, when executed by a computing platform, result in having content reviewed by: generating a signature comprising a set of signature values for content to be reviewed, wherein each of the set of signature values is related to a time based flow of the content and each signature value comprises a time value based on a timeline; exporting the content to a review file; sending the review file to one or more reviewers without requiring a server to manage the reviewing of the content; and receiving the annotation file from at least one of the one or more reviewers, wherein: the content is annotated with an annotation; the annotation is associated with a corresponding signature value, wherein the corresponding signature value is one of the set of signature values that corresponds to the occurrence of the annotation with respect to the time based flow of the content; and the annotation is stored in an annotation file along with the corresponding signature value.
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19. An article comprising a storage medium having stored thereon instructions that, when executed by a computing platform, result in having content reviewed by: generating a signature comprising a set of signature values for content to be reviewed, wherein each of the set of signature values is related to a time based flow of the content and each signature value comprises a time value based on a timeline; exporting the content to a review file; sending the review file to one or more reviewers without requiring a server to manage the reviewing of the content; and receiving the annotation file from at least one of the one or more reviewers, wherein: the content is annotated with an annotation; the annotation is associated with a corresponding signature value, wherein the corresponding signature value is one of the set of signature values that corresponds to the occurrence of the annotation with respect to the time based flow of the content; and the annotation is stored in an annotation file along with the corresponding signature value. 21. An article as claimed in claim 19 , wherein said exporting includes adding a link to the location of the review file wherein the one or more reviewers may review the content with respect to the timeline by streaming the content via the link, wherein the streaming is managed by a client software program operated by the one or more reviewers.
| 0.528046 |
18. The system of claim 17 , wherein the forming a weighted combination of the first class designation, the second class designation and the third class designation comprises weighting the first class designation with a weight of 2, weighting the second class designation with a weight of 2, and weighting the third class designation with a weight of 1.
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18. The system of claim 17 , wherein the forming a weighted combination of the first class designation, the second class designation and the third class designation comprises weighting the first class designation with a weight of 2, weighting the second class designation with a weight of 2, and weighting the third class designation with a weight of 1. 19. The system of claim 18 , comprising combining the first class designation, the second class designation and the third class designation to generate a confidence metric.
| 0.903687 |
1. A method of inputting a series of characters into an electronic device comprising a display, the method comprising: detecting a first input associated with a first one of a plurality of discrete areas of the display for entering characters on the display, wherein the first input comprises an initiation stage and a composition stage, the composition stage comprising a plurality of drag actions; associating one of the plurality of discrete areas with the first input from the position of the initiation stage of the first input and continuing the association when the composition stage of the first input extends outside of the discrete area in which the initiation stage occurred so long as each of the plurality of drag actions is initiated within the discrete area; and recognizing the first input in the first one of the plurality of discrete areas as a first character input while a second one of the plurality of discrete areas is operable to detect a second input for recognition as a second character input, the recognition of the second character input occurring separately to the recognition of the first character input.
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1. A method of inputting a series of characters into an electronic device comprising a display, the method comprising: detecting a first input associated with a first one of a plurality of discrete areas of the display for entering characters on the display, wherein the first input comprises an initiation stage and a composition stage, the composition stage comprising a plurality of drag actions; associating one of the plurality of discrete areas with the first input from the position of the initiation stage of the first input and continuing the association when the composition stage of the first input extends outside of the discrete area in which the initiation stage occurred so long as each of the plurality of drag actions is initiated within the discrete area; and recognizing the first input in the first one of the plurality of discrete areas as a first character input while a second one of the plurality of discrete areas is operable to detect a second input for recognition as a second character input, the recognition of the second character input occurring separately to the recognition of the first character input. 12. A method as claimed in claim 1 , wherein a prolonged initiation stage of an input action causes the display to display the plurality of discrete areas.
| 0.572173 |
10. A tangible computer-readable storage medium storing a plurality of instructions which, when executed by a processor, cause the processor to perform operations for using user provided tags for searching, the operations comprising: collecting, by an application server, a plurality of user provided tags associated with a plurality of entities, wherein the plurality of user provided tags comprises semantic descriptions entered by a plurality of different users; creating, by the application server, a tag topological network layer that is managed by a service provider, wherein the tag topological network layer predefines a next entity for each one of the plurality of entities based upon the plurality of user provided tags; receiving, by the application server, a user query that contains a search term; and generating, by the application server, a search result containing an entity of the plurality of entities in the tag topological network layer, wherein the entity is found based on a distance measure of a tag vector, t p , for the entity, p, wherein a function t p (i) represents a measure of a weight of a tag, i, that is used to tag the entity, p, based on a normalized count of times tag, i, is used to tag the entity, p, wherein the entity contains a link to another entity in accordance with the tag topological network layer, wherein the link is created in accordance with the tag vector of the entity.
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10. A tangible computer-readable storage medium storing a plurality of instructions which, when executed by a processor, cause the processor to perform operations for using user provided tags for searching, the operations comprising: collecting, by an application server, a plurality of user provided tags associated with a plurality of entities, wherein the plurality of user provided tags comprises semantic descriptions entered by a plurality of different users; creating, by the application server, a tag topological network layer that is managed by a service provider, wherein the tag topological network layer predefines a next entity for each one of the plurality of entities based upon the plurality of user provided tags; receiving, by the application server, a user query that contains a search term; and generating, by the application server, a search result containing an entity of the plurality of entities in the tag topological network layer, wherein the entity is found based on a distance measure of a tag vector, t p , for the entity, p, wherein a function t p (i) represents a measure of a weight of a tag, i, that is used to tag the entity, p, based on a normalized count of times tag, i, is used to tag the entity, p, wherein the entity contains a link to another entity in accordance with the tag topological network layer, wherein the link is created in accordance with the tag vector of the entity. 13. The tangible computer-readable storage medium of claim 10 , wherein the distance measure is an earth mover distance measure.
| 0.549318 |
22. A method of processing events in a complex event processing (CEP) system, the method comprising: receiving, via an event bus, a stream of events, each said event having a predefined event type; determining, in connection with an event processing agent including at least one processor, when a particular query out of a plurality of possible queries is to be executed on an event received via the event bus, each said query either initially conforming to a CEP query language executable by the event processing agent and thus being executable by the event processing agent, or being translated into a translated query executable via the event processing agent from an enhanced query that conforms to a version of the CEP query language that has been enriched so that semantics thereof are represented in accordance with an ontology, wherein the particular query to be executed on the event received via the event bus is translated, in accordance with a stored mapping between elements of the CEP query language and elements of the ontology that enhances the query language, from an enhanced query including references to ontology elements into a translated query executable via the event processing agent, the references to the ontology elements in the enhanced query being translated into queries processable by the event processing agent in accordance with the query language; and executing the particular query in connection with the at least one processor of the event processing agent; wherein a first data store stores the mappings between elements of the CEP query language, and the elements of the ontology; wherein translated queries are generated in accordance with the mappings stored in the first data store; and wherein the concepts of the ontology are classes, and wherein the generating of the translated query comprises, for the enhanced query: retrieving a class definition for all referenced classes from a corresponding ontology; determining whether the referenced classes are marked as being handled; when the referenced classes are marked as being handled, transforming the respective class definition to the query language, and compiling the translated query; and when the referenced classes are not marked as being handled: when the respective class does not have a corresponding mapping, replacing the class with a union of all of its sub-classes; when the respective class has a corresponding mapping but no sub-classes, removing the reference to the class; and when the respective class has a corresponding mapping and any sub-classes, adding a union with all sub-classes to the class and marking the class as handled.
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22. A method of processing events in a complex event processing (CEP) system, the method comprising: receiving, via an event bus, a stream of events, each said event having a predefined event type; determining, in connection with an event processing agent including at least one processor, when a particular query out of a plurality of possible queries is to be executed on an event received via the event bus, each said query either initially conforming to a CEP query language executable by the event processing agent and thus being executable by the event processing agent, or being translated into a translated query executable via the event processing agent from an enhanced query that conforms to a version of the CEP query language that has been enriched so that semantics thereof are represented in accordance with an ontology, wherein the particular query to be executed on the event received via the event bus is translated, in accordance with a stored mapping between elements of the CEP query language and elements of the ontology that enhances the query language, from an enhanced query including references to ontology elements into a translated query executable via the event processing agent, the references to the ontology elements in the enhanced query being translated into queries processable by the event processing agent in accordance with the query language; and executing the particular query in connection with the at least one processor of the event processing agent; wherein a first data store stores the mappings between elements of the CEP query language, and the elements of the ontology; wherein translated queries are generated in accordance with the mappings stored in the first data store; and wherein the concepts of the ontology are classes, and wherein the generating of the translated query comprises, for the enhanced query: retrieving a class definition for all referenced classes from a corresponding ontology; determining whether the referenced classes are marked as being handled; when the referenced classes are marked as being handled, transforming the respective class definition to the query language, and compiling the translated query; and when the referenced classes are not marked as being handled: when the respective class does not have a corresponding mapping, replacing the class with a union of all of its sub-classes; when the respective class has a corresponding mapping but no sub-classes, removing the reference to the class; and when the respective class has a corresponding mapping and any sub-classes, adding a union with all sub-classes to the class and marking the class as handled. 24. A non-transitory computer readable storage medium tangibly storing a program comprising instructions that, when executed, perform a method according to claim 22 .
| 0.514844 |
8. An apparatus comprising at least one computer-readable memory device storing instructions configured to cause one or more processing devices to perform operations comprising: detecting a presence of a combinational loop in an expression netlist representation of a circuit design by identifying a portion of the expression netlist having at least one characteristic associated with the combinational loop, translating the identified portion of the expression netlist into a bit-level circuit representation, and utilizing the bit-level circuit representation to determine the identified portion of the expression netlist includes the combinational loop; and modifying the expression netlist corresponding to the detected presence of the combinational loop.
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8. An apparatus comprising at least one computer-readable memory device storing instructions configured to cause one or more processing devices to perform operations comprising: detecting a presence of a combinational loop in an expression netlist representation of a circuit design by identifying a portion of the expression netlist having at least one characteristic associated with the combinational loop, translating the identified portion of the expression netlist into a bit-level circuit representation, and utilizing the bit-level circuit representation to determine the identified portion of the expression netlist includes the combinational loop; and modifying the expression netlist corresponding to the detected presence of the combinational loop. 11. The apparatus of claim 8 , wherein identifying the portion of the expression netlist having the at least one characteristic associated with the combinational loop further comprises computing a strongly connected component in the expression netlist, the strongly connected component corresponding to the identified portion of the expression netlist having the at least one characteristic associated with the combinational loop.
| 0.532436 |
1. A system, comprising: a first server to: generate a custom news document, where the custom news document includes a plurality of custom news sections, assign one or more of a keyword or phrase, a topical category, or a geographic category to each one of the plurality of custom news sections, embed search queries into the custom news document, where each of the embedded search queries includes a respective one of the assigned one or more keywords or phrases, one or more topical categories, or one or more geographic categories associated with a respective one of the plurality of custom news sections, receive, from a client device, a request to access the custom news document, and send the embedded search queries across a network to a second server, in response to receiving the request; and the second server to: receive the embedded search queries, crawl a corpus of news documents hosted at a plurality of remote servers to obtain news content, search the obtained news content based on the received embedded search queries to obtain search results, and provide news content to the first server based on the search results; where the first server is further to: populate the plurality of custom news sections with the received news content, and permit a plurality of users to access, from across the network, the custom news document that includes the received news content, where the first server, the second server, and the plurality of remote servers comprise different network devices that connect to the network.
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1. A system, comprising: a first server to: generate a custom news document, where the custom news document includes a plurality of custom news sections, assign one or more of a keyword or phrase, a topical category, or a geographic category to each one of the plurality of custom news sections, embed search queries into the custom news document, where each of the embedded search queries includes a respective one of the assigned one or more keywords or phrases, one or more topical categories, or one or more geographic categories associated with a respective one of the plurality of custom news sections, receive, from a client device, a request to access the custom news document, and send the embedded search queries across a network to a second server, in response to receiving the request; and the second server to: receive the embedded search queries, crawl a corpus of news documents hosted at a plurality of remote servers to obtain news content, search the obtained news content based on the received embedded search queries to obtain search results, and provide news content to the first server based on the search results; where the first server is further to: populate the plurality of custom news sections with the received news content, and permit a plurality of users to access, from across the network, the custom news document that includes the received news content, where the first server, the second server, and the plurality of remote servers comprise different network devices that connect to the network. 13. The system of claim 1 , where the first server, when populating the plurality of custom news sections, is further to: receive an input from the client device; and customize the custom news document, based on the input, where the first server, when customizing the plurality of custom news sections, is further to: add a new news section to the custom news document; move a news section to a different location in the custom news document; delete a news section in the custom news document; change a rank property associated with a news section within the custom news document; or change a display property associated with a news section within the custom news document.
| 0.53189 |
1. Apparatus for allocating display items to each page of a hypermedia document containing display items that are to be laid out on several linked pages, comprising: means for automatically allocating said display items of said document to said pages by automatically specifying the assignment of said display items to each page by using a reduction to graph partitioning and an optimization technique for said graph partitioning and for automatically creating linkages between said pages including means for reducing said assigned display items and linkages to a graph partition to provide an optimized graph partition specifying assignments of display items and linkages, whereby a convenient document structure is automatically provided in which linkages and page content are automatically created, thus eliminating the necessity for the author to prespecify page content or linkage structure.
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1. Apparatus for allocating display items to each page of a hypermedia document containing display items that are to be laid out on several linked pages, comprising: means for automatically allocating said display items of said document to said pages by automatically specifying the assignment of said display items to each page by using a reduction to graph partitioning and an optimization technique for said graph partitioning and for automatically creating linkages between said pages including means for reducing said assigned display items and linkages to a graph partition to provide an optimized graph partition specifying assignments of display items and linkages, whereby a convenient document structure is automatically provided in which linkages and page content are automatically created, thus eliminating the necessity for the author to prespecify page content or linkage structure. 8. The Apparatus of claim 1 wherein one of said means for optimizing includes means for performing a Kernighan-Lin graph partition.
| 0.535343 |
1. A method, comprising: receiving a query to an XML document, where the XML document stores a translation for a data element; determining if the query includes identifying elements that identify the query as being configured to act on a translation-enabled database and, if the query includes identifying elements, selecting an explicit query mode that controls an XPath logic to use a normalized translation function to process the query; determining whether a terminal node in an XPath associated with the query refers to a translatable element, and if the terminal node in the XPath associated with the query is determined to refer to a translatable element, selecting an implicit query mode for querying the XML document, wherein the query is rewritten for use by a translate function; and querying the XML document using the query and the selected query mode.
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1. A method, comprising: receiving a query to an XML document, where the XML document stores a translation for a data element; determining if the query includes identifying elements that identify the query as being configured to act on a translation-enabled database and, if the query includes identifying elements, selecting an explicit query mode that controls an XPath logic to use a normalized translation function to process the query; determining whether a terminal node in an XPath associated with the query refers to a translatable element, and if the terminal node in the XPath associated with the query is determined to refer to a translatable element, selecting an implicit query mode for querying the XML document, wherein the query is rewritten for use by a translate function; and querying the XML document using the query and the selected query mode. 7. The method of claim 1 , where querying the XML document using the explicit query mode includes controlling an XPath logic to use the normalized translation function, where the normalized function can be operatively connected to one or more of, a streaming evaluation logic, and an XML index logic.
| 0.646636 |
1. A method for processing a user input character string entered by a user into a computer system that comprises a browser, said method comprising: receiving the user input character string, said user input character string conforming to a native character set and encoding of the browser for a language selected by the user; converting the user input character string to a converted character string consisting of characters of a Universal Character Set (UCS) which are independent of platform and language, wherein the converted character string comprises a plurality of leading whitespace characters, a plurality of trailing whitespace characters, and a middle character string comprising remaining whitespace characters that include at least one grouping of at least two consecutive whitespace characters, wherein the middle character string is disposed between the leading whitespace characters and the trailing whitespace characters, and wherein the leftmost character and the rightmost character of the middle character string are not whitespace characters; transforming the converted character string to a transformed character string by a first transformation or a second transformation, wherein said transforming the converted character string to the transformed character string by the first transformation comprises removing the leading whitespace characters and the trailing whitespace characters in the converted character string such that the transformed character string does not comprise any leading whitespace character, does not comprise any trailing whitespace character, and comprises the remaining whitespace characters; and wherein said transforming the converted character string to the transformed character string by the second transformation comprises removing the trailing whitespace characters in the converted character string such that the transformed character string does not comprise any trailing whitespace character and comprises both the leading whitespace characters and the remaining whitespace characters; and after said transforming, converting each grouping of the at least one grouping of at least two consecutive whitespace characters in the middle character string of the transformed character string to a single whitespace character, resulting in the transformed character string being converted to a resultant character string; wherein the method comprises modifying the user input character string to generate the resultant character string; wherein if said transforming consists of transforming the converted character string to the transformed character string by the first transformation, then said modifying consists of said converting the user input character string, said transforming the converted character string, and said converting each grouping; wherein if said transforming consists of transforming the converted character string to the transformed character string by the second transformation, then said modifying comprises said converting the user input character string, said transforming the converted character string, and said converting each grouping.
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1. A method for processing a user input character string entered by a user into a computer system that comprises a browser, said method comprising: receiving the user input character string, said user input character string conforming to a native character set and encoding of the browser for a language selected by the user; converting the user input character string to a converted character string consisting of characters of a Universal Character Set (UCS) which are independent of platform and language, wherein the converted character string comprises a plurality of leading whitespace characters, a plurality of trailing whitespace characters, and a middle character string comprising remaining whitespace characters that include at least one grouping of at least two consecutive whitespace characters, wherein the middle character string is disposed between the leading whitespace characters and the trailing whitespace characters, and wherein the leftmost character and the rightmost character of the middle character string are not whitespace characters; transforming the converted character string to a transformed character string by a first transformation or a second transformation, wherein said transforming the converted character string to the transformed character string by the first transformation comprises removing the leading whitespace characters and the trailing whitespace characters in the converted character string such that the transformed character string does not comprise any leading whitespace character, does not comprise any trailing whitespace character, and comprises the remaining whitespace characters; and wherein said transforming the converted character string to the transformed character string by the second transformation comprises removing the trailing whitespace characters in the converted character string such that the transformed character string does not comprise any trailing whitespace character and comprises both the leading whitespace characters and the remaining whitespace characters; and after said transforming, converting each grouping of the at least one grouping of at least two consecutive whitespace characters in the middle character string of the transformed character string to a single whitespace character, resulting in the transformed character string being converted to a resultant character string; wherein the method comprises modifying the user input character string to generate the resultant character string; wherein if said transforming consists of transforming the converted character string to the transformed character string by the first transformation, then said modifying consists of said converting the user input character string, said transforming the converted character string, and said converting each grouping; wherein if said transforming consists of transforming the converted character string to the transformed character string by the second transformation, then said modifying comprises said converting the user input character string, said transforming the converted character string, and said converting each grouping. 4. The method of claim 1 , wherein the user input character string is a null character string.
| 0.934483 |
9. A communications device comprising: a processor; a display communicatively coupled to the processor, the display having a top surface defining a viewing plane; a trackpad communicatively coupled to the processor, the trackpad having: an outer surface provided on the viewing plane; a light source provided below the viewing plane, the light source having a different wavelength than a light source of the display; and an optical sensor array provided below the viewing plane for receiving light emitted from the light source of the trackpad, the optical sensor array including a plurality of sub-sections; and a memory having stored therein instructions which, when executed by the processor, cause the processor to: transmit a first signal to cause the light source of the trackpad to emit light; detect, at the optical sensor array, the emitted light of the trackpad reflected from an object positioned above the viewing plane on or above the outer surface of the trackpad; detect translational movements of the object over selected ones of the plurality of sub-sections during a predetermined time sequence, the detected translational movements indicating a rotational input when the selected ones of the plurality of sub-sections include substantially opposite translational movements; associate the detected translational movements with character strokes stored in a first database; correlate the character strokes to a plurality of characters stored in a second database; determine a selected character from one of the plurality of characters via a selection received from the trackpad; and render the selected character on the display.
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9. A communications device comprising: a processor; a display communicatively coupled to the processor, the display having a top surface defining a viewing plane; a trackpad communicatively coupled to the processor, the trackpad having: an outer surface provided on the viewing plane; a light source provided below the viewing plane, the light source having a different wavelength than a light source of the display; and an optical sensor array provided below the viewing plane for receiving light emitted from the light source of the trackpad, the optical sensor array including a plurality of sub-sections; and a memory having stored therein instructions which, when executed by the processor, cause the processor to: transmit a first signal to cause the light source of the trackpad to emit light; detect, at the optical sensor array, the emitted light of the trackpad reflected from an object positioned above the viewing plane on or above the outer surface of the trackpad; detect translational movements of the object over selected ones of the plurality of sub-sections during a predetermined time sequence, the detected translational movements indicating a rotational input when the selected ones of the plurality of sub-sections include substantially opposite translational movements; associate the detected translational movements with character strokes stored in a first database; correlate the character strokes to a plurality of characters stored in a second database; determine a selected character from one of the plurality of characters via a selection received from the trackpad; and render the selected character on the display. 13. The communications device of claim 9 , wherein the trackpad is an optical trackpad.
| 0.552471 |
1. A computer-implemented method comprising: receiving a search query; obtaining one or more search results responsive to the search query, wherein a first search result of the one or more search results identifies a resource including text; computing a respective similarity measure between the search query and each of a plurality of contiguous portions of text of the resource; selecting a suggested query phrase from a first contiguous portion of text of the resource having a highest computed similarity measure with the search query; generating a first search result snippet to be presented as part of the first search result in a presentation of the one or more search results, wherein the first search result snippet presented as part of the first search result includes the suggested query phrase as a selectable user interface element for a user to submit the suggested query phrase as a new search query; and providing the presentation of the one or more search results, including the first search result snippet as part of the first search result, in response to the search query.
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1. A computer-implemented method comprising: receiving a search query; obtaining one or more search results responsive to the search query, wherein a first search result of the one or more search results identifies a resource including text; computing a respective similarity measure between the search query and each of a plurality of contiguous portions of text of the resource; selecting a suggested query phrase from a first contiguous portion of text of the resource having a highest computed similarity measure with the search query; generating a first search result snippet to be presented as part of the first search result in a presentation of the one or more search results, wherein the first search result snippet presented as part of the first search result includes the suggested query phrase as a selectable user interface element for a user to submit the suggested query phrase as a new search query; and providing the presentation of the one or more search results, including the first search result snippet as part of the first search result, in response to the search query. 10. The method of claim 1 , in which the resource is a PDF document, an HTML document, an XML document, a word processing document, or a plain text document.
| 0.740193 |
24. A processor readable non-transitory storage media that includes instructions for generating an application, wherein a computer that executes at least a portion of the instructions performs actions, comprising: responsive to encountering a multi-size type during compilation of an intermediate language version of the application into a machine code version of the application, performing actions, including: determining architecture information of a target computer, wherein the architecture information includes at least a word size of the target computer; determining one or more data types associated with the target computer that corresponds to the multi-sized type based on the architecture information; determining one or more native code calls that perform actions associated with an intermediate language code call, wherein parameters to the one or more native codes call match the one or more data types; generating a machine code version of the intermediate language code call that at least corresponds to the one or more determined native code calls and also corresponds to the architecture information; when the target computer enables just-in-time compiling, executing the generated machine code version of the intermediate language code call with one or more values correspondent to the multi-size type and the one or more data types by executing the one or more determined native code calls using the one or more determined data types that correspond to the architecture information; and when the target computer disables just-in-time compiling, inserting the generated machine code version of the intermediate language code call in the machine code version of the application with the one or more values correspondent to the multi-size type and the one or more data types, wherein the generated machine code version includes instructions to execute the one or more determined native code calls.
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24. A processor readable non-transitory storage media that includes instructions for generating an application, wherein a computer that executes at least a portion of the instructions performs actions, comprising: responsive to encountering a multi-size type during compilation of an intermediate language version of the application into a machine code version of the application, performing actions, including: determining architecture information of a target computer, wherein the architecture information includes at least a word size of the target computer; determining one or more data types associated with the target computer that corresponds to the multi-sized type based on the architecture information; determining one or more native code calls that perform actions associated with an intermediate language code call, wherein parameters to the one or more native codes call match the one or more data types; generating a machine code version of the intermediate language code call that at least corresponds to the one or more determined native code calls and also corresponds to the architecture information; when the target computer enables just-in-time compiling, executing the generated machine code version of the intermediate language code call with one or more values correspondent to the multi-size type and the one or more data types by executing the one or more determined native code calls using the one or more determined data types that correspond to the architecture information; and when the target computer disables just-in-time compiling, inserting the generated machine code version of the intermediate language code call in the machine code version of the application with the one or more values correspondent to the multi-size type and the one or more data types, wherein the generated machine code version includes instructions to execute the one or more determined native code calls. 26. The media of claim 24 , wherein the generated machine code version of the intermediate language code call, further comprises, a portion of machine code that corresponds to a calling convention supported by the target computer.
| 0.788207 |
15. A system for Asynchronous Java Script and XML (AJAX) form-based authentication using Java 2 Platform Enterprise Edition, the system comprising: an AJAX-enabled application on a client in communication with a network, the AJAX-enabled application on the client configured to: send an AJAX request for secure data; simulate a form-based submission by prompting a user for user security credentials, independent of a server-based security credential form by way of java script source code; and manage one of a positive and a negative response from a form-based authentication submission; a server including a processor coupled to memory, wherein the server is in communication with the network and is configured to: detect whether the AJAX request sent from the AJAX-enabled application on the client requires access to data marked as secure; and redirect the AJAX request to an authentication required servlet in response to detecting that the AJAX request requires access to data marked as secure; issue an AJAX response to the client, the AJAX response, independently of a server-side security credential form, directing the client to obtain user security credentials; pass the user security credentials received from the AJAX-enabled application, as an AJAX form-based authentication request to a web container authentication service; authenticate the user security credentials using a web container authentication service, the user security credentials received by way of the AJAX form-based authentication request; and process the client request for secure data in response to a positive authentication of the user security credentials.
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15. A system for Asynchronous Java Script and XML (AJAX) form-based authentication using Java 2 Platform Enterprise Edition, the system comprising: an AJAX-enabled application on a client in communication with a network, the AJAX-enabled application on the client configured to: send an AJAX request for secure data; simulate a form-based submission by prompting a user for user security credentials, independent of a server-based security credential form by way of java script source code; and manage one of a positive and a negative response from a form-based authentication submission; a server including a processor coupled to memory, wherein the server is in communication with the network and is configured to: detect whether the AJAX request sent from the AJAX-enabled application on the client requires access to data marked as secure; and redirect the AJAX request to an authentication required servlet in response to detecting that the AJAX request requires access to data marked as secure; issue an AJAX response to the client, the AJAX response, independently of a server-side security credential form, directing the client to obtain user security credentials; pass the user security credentials received from the AJAX-enabled application, as an AJAX form-based authentication request to a web container authentication service; authenticate the user security credentials using a web container authentication service, the user security credentials received by way of the AJAX form-based authentication request; and process the client request for secure data in response to a positive authentication of the user security credentials. 20. The system of claim 15 , wherein the server is further configured to pass the authentication result to an authentication failed servlet in response to a rejection of the user security credentials, and the authentication failed servlet returns a Java Script Object Notation (JSON) object configured to indicate that authentication has failed.
| 0.535303 |
2. The non-transitory computer-readable storage medium of claim 1 , wherein the computer-executable instructions further cause the computer to receive from an unstructured data source, second image data related to the specified category, and wherein identify the subcategories of the category is based at least in part on the first image data and the second image data.
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2. The non-transitory computer-readable storage medium of claim 1 , wherein the computer-executable instructions further cause the computer to receive from an unstructured data source, second image data related to the specified category, and wherein identify the subcategories of the category is based at least in part on the first image data and the second image data. 6. The non-transitory computer-readable storage medium of claim 2 , wherein the structured data source is a structured database and the unstructured data source is a website.
| 0.836152 |
10. The spam avatar identification system according to claim 9 , the behavior characteristics analysis unit further comprising an audio recognition unit and an analysis unit configured to recognize the behavior characteristics of the avatar that are audio characteristics.
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10. The spam avatar identification system according to claim 9 , the behavior characteristics analysis unit further comprising an audio recognition unit and an analysis unit configured to recognize the behavior characteristics of the avatar that are audio characteristics. 11. The spam avatar identification system according to claim 10 , the behavior characteristics analysis unit further comprising a behavior recognition unit and an analysis unit configured to recognize the behavior characteristics of the avatar that are behavior characteristics.
| 0.889663 |
40. The computer readable storage medium of claim 23 , wherein the one or more programs further comprise: instructions for-updating the web crawl interval of a document after retrieving a new copy of the document's content from its host and detecting content changes to the document based on the new copy.
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40. The computer readable storage medium of claim 23 , wherein the one or more programs further comprise: instructions for-updating the web crawl interval of a document after retrieving a new copy of the document's content from its host and detecting content changes to the document based on the new copy. 43. The computer readable storage medium of claim 40 , wherein the web crawl interval is not updated if the first average interval is greater than the second average interval.
| 0.943099 |
16. A computer-readable storage medium storing computer executable instructions for controlling a computer to perform a method comprising: receiving at least a pair of initial color representations; selecting a set of lexical color classifiers; transforming each of the at least a pair of initial color representations into values within the set of lexical color classifiers, wherein each of the initial color has an initial color attribute value that is transformed into lexical color attribute values for each of the lexical color classifiers and wherein the initial color attribute values have n number of color dimensions and the set of lexical color classifiers have m number of color dimensions, wherein n is less than m; calculating color similarity based on values within the set of lexical color classifiers; and generating a relative similarity measurement of the at least a pair of initial color representations.
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16. A computer-readable storage medium storing computer executable instructions for controlling a computer to perform a method comprising: receiving at least a pair of initial color representations; selecting a set of lexical color classifiers; transforming each of the at least a pair of initial color representations into values within the set of lexical color classifiers, wherein each of the initial color has an initial color attribute value that is transformed into lexical color attribute values for each of the lexical color classifiers and wherein the initial color attribute values have n number of color dimensions and the set of lexical color classifiers have m number of color dimensions, wherein n is less than m; calculating color similarity based on values within the set of lexical color classifiers; and generating a relative similarity measurement of the at least a pair of initial color representations. 19. The computer-readable storage medium of claim 16 , wherein the method further comprises determining if the relative similarity measurement indicates a match.
| 0.504292 |
25. The method of claim 24 , further comprising: generating a list of popular data entries; saving the list of popular data entries in a memory storage of the portable electronic device: and selecting at least a subset of the list of popular data entries to be displayed as the plurality of predefined suggestions.
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25. The method of claim 24 , further comprising: generating a list of popular data entries; saving the list of popular data entries in a memory storage of the portable electronic device: and selecting at least a subset of the list of popular data entries to be displayed as the plurality of predefined suggestions. 26. The method of claim 25 , wherein the generating the list of popular data entries comprises defining the popular data entries in response to feedback from the healthcare professional.
| 0.954337 |
18. In a computer readable storage medium having stored therein data representing instructions executable by a programmed processor for determining geographic range of a search query, the storage medium comprising instructions operative for: identifying a root term from the search query; accessing a query history of the root term from a root term database, wherein the query history includes geographic ranges associated with each root term stored in the root term database; analyzing the query history of the root term including each of the geographic ranges stored in the query history that are associated with the root term from the search query; and determining, based on the analysis, the geographic range for the search query based on the geographic ranges stored in the root term database for the root term from the search query.
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18. In a computer readable storage medium having stored therein data representing instructions executable by a programmed processor for determining geographic range of a search query, the storage medium comprising instructions operative for: identifying a root term from the search query; accessing a query history of the root term from a root term database, wherein the query history includes geographic ranges associated with each root term stored in the root term database; analyzing the query history of the root term including each of the geographic ranges stored in the query history that are associated with the root term from the search query; and determining, based on the analysis, the geographic range for the search query based on the geographic ranges stored in the root term database for the root term from the search query. 20. The storage medium of claim 18 wherein the geographic range is determined based on a plurality of frequencies by which the root term is associated with a plurality of location bands in the query history of the root term, further wherein one of the plurality of frequencies of the root term is associated with one of the plurality of location bands.
| 0.559713 |
1. A method of conforming an audio input to a musical key, the method comprising: receiving an audio input; determining a musical key of the audio input; sequentially for each consecutive note of the audio input, determining a pitch value for a preceding note and a subsequent note and an interval between the preceding note and the subsequent note of the audio input, selecting a plurality of alternative subsequent notes for each subsequent note based on the determined musical key and the determined pitch value of the subsequent note, scoring each interval between each alternative subsequent note and each respective note of a selected plurality of alternative subsequent notes corresponding to the preceding note based on the interval between the preceding note and the subsequent note of the audio input, selecting a best interval for each alternative subsequent note based on the scored intervals, and selecting a best-match note for each note of the audio input based on the best intervals of all of the plurality of notes of the audio input; and conforming each note of the audio input to a frequency of each respective best-match note.
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1. A method of conforming an audio input to a musical key, the method comprising: receiving an audio input; determining a musical key of the audio input; sequentially for each consecutive note of the audio input, determining a pitch value for a preceding note and a subsequent note and an interval between the preceding note and the subsequent note of the audio input, selecting a plurality of alternative subsequent notes for each subsequent note based on the determined musical key and the determined pitch value of the subsequent note, scoring each interval between each alternative subsequent note and each respective note of a selected plurality of alternative subsequent notes corresponding to the preceding note based on the interval between the preceding note and the subsequent note of the audio input, selecting a best interval for each alternative subsequent note based on the scored intervals, and selecting a best-match note for each note of the audio input based on the best intervals of all of the plurality of notes of the audio input; and conforming each note of the audio input to a frequency of each respective best-match note. 2. The method of claim 1 , further comprising sequentially for each consecutive note of the audio input, determining a probability of each alternative subsequent note following each respective note of the selected plurality of subsequent notes corresponding to the preceding note; and wherein selecting the best-match note for each note of the audio input is further based on the determined probabilities of all of the plurality of notes of the audio input.
| 0.602279 |
15. The system of claim 14 wherein said instructions are further configured for extracting said plurality of topics utilizing Latent Dirichlet Allocation (LDA).
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15. The system of claim 14 wherein said instructions are further configured for extracting said plurality of topics utilizing Latent Dirichlet Allocation (LDA). 16. The system of claim 15 wherein said instructions for highlighting specific words within a web page based on said topic model, further comprise instructions further configured for: extracting content of said newly selected web page; determining a probability score for each of said plurality of topics in said topic model for how well each of said plurality of topics describes said content; selecting a set of said plurality of topics that meet a predefined criteria; analyzing said content utilizing said set of topics; determining a weight for each of a plurality of keywords associated with said set of topics, wherein different weights are determined for different keywords among said plurality of keywords depending how significant said each of said plurality of keywords are determined to be; and differentially highlighting said plurality of keywords associated with said set of topics within said content of said newly selected web page according to said weight.
| 0.727909 |
1. A method, comprising: hosting an application for utilization by a remote computing platform; identifying a plurality of UI elements of a graphical user interface (UI) generated by the hosted application; generating a plurality of proxy UI elements, each of the plurality of proxy UI elements corresponding to one or more of the plurality of UI elements; transmitting, to the remote computing platform, the graphical UI generated by the hosted application and the plurality of proxy UI elements; processing a transcript of an audio sample, the audio sample comprising an utterance of a user of the remote computing platform, and the transcript of the audio sample comprising at least one word corresponding to one or more of the plurality of proxy UI elements; invoking a functionality of the hosted application, said functionality corresponding to one or more of the plurality of UI elements that correspond to the one or more of the plurality of proxy UI elements; identifying a plurality of properties of the plurality of UI elements and generating the plurality of proxy UI elements based on the identified plurality of properties, wherein each respective proxy UI element of the plurality of proxy UI elements is associated with one or more words corresponding to one or more of the plurality of properties, the one or more of the plurality of properties corresponding to one or more of the UI elements that correspond to the respective proxy UI element; and wherein the plurality of properties comprise one or more UI element labels of a labeled UI element of the plurality of UI elements, wherein the at least one word corresponding to one or more of the plurality of proxy UI elements comprises a word corresponding to at least one of the one or more UI element labels of the labeled UI element, and wherein invoking the functionality of the hosted application comprises changing a currently selected UI element of the hosted application from the currently selected UI element of the hosted application to the labeled UI element.
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1. A method, comprising: hosting an application for utilization by a remote computing platform; identifying a plurality of UI elements of a graphical user interface (UI) generated by the hosted application; generating a plurality of proxy UI elements, each of the plurality of proxy UI elements corresponding to one or more of the plurality of UI elements; transmitting, to the remote computing platform, the graphical UI generated by the hosted application and the plurality of proxy UI elements; processing a transcript of an audio sample, the audio sample comprising an utterance of a user of the remote computing platform, and the transcript of the audio sample comprising at least one word corresponding to one or more of the plurality of proxy UI elements; invoking a functionality of the hosted application, said functionality corresponding to one or more of the plurality of UI elements that correspond to the one or more of the plurality of proxy UI elements; identifying a plurality of properties of the plurality of UI elements and generating the plurality of proxy UI elements based on the identified plurality of properties, wherein each respective proxy UI element of the plurality of proxy UI elements is associated with one or more words corresponding to one or more of the plurality of properties, the one or more of the plurality of properties corresponding to one or more of the UI elements that correspond to the respective proxy UI element; and wherein the plurality of properties comprise one or more UI element labels of a labeled UI element of the plurality of UI elements, wherein the at least one word corresponding to one or more of the plurality of proxy UI elements comprises a word corresponding to at least one of the one or more UI element labels of the labeled UI element, and wherein invoking the functionality of the hosted application comprises changing a currently selected UI element of the hosted application from the currently selected UI element of the hosted application to the labeled UI element. 7. The method of claim 1 , wherein at least a portion of the plurality of proxy UI elements are configured to be visible to the user of the remote computing platform, wherein one or more of the at least a portion of the plurality of proxy UI elements that are configured to be visible to the user of the remote computing platform comprise a cursor targeting reticle configured to be overlaid on one or more of the plurality of UI elements of the graphical UI generated by the hosted application, and wherein the at least one word corresponding to the one or more of the plurality of proxy UI elements comprises at least one word for directing movement of the cursor targeting reticle.
| 0.542248 |
13. A network server configured to provide a parsing service, the network server comprising: a processor; a memory coupled to the processor; and the parsing service stored in the memory and executable by the processor, wherein the parsing service is configured to: receive a copy of a network application programming interface (API) communication that includes one or more of a network API request made by a computing device or a network API response received by the computing device; parse the received copy of the network API communication by at least removal of repetitive data from the received copy of the network API communication, so as to generate parsed personal assistant data; maintain a network service library that includes service translation information for a plurality of network APIs; identify the service translation information in the network service library for a network API that corresponds to the received copy of the network API communication; convert the parsed personal assistant data by use of the identified service translation information, so as to produce converted data, wherein the service translation information comprises: terms used in connection with the network API, and corresponding translation outputs; include the converted data in the parsed personal assistant data; and send the parsed personal assistant data that includes the converted data to the computing device.
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13. A network server configured to provide a parsing service, the network server comprising: a processor; a memory coupled to the processor; and the parsing service stored in the memory and executable by the processor, wherein the parsing service is configured to: receive a copy of a network application programming interface (API) communication that includes one or more of a network API request made by a computing device or a network API response received by the computing device; parse the received copy of the network API communication by at least removal of repetitive data from the received copy of the network API communication, so as to generate parsed personal assistant data; maintain a network service library that includes service translation information for a plurality of network APIs; identify the service translation information in the network service library for a network API that corresponds to the received copy of the network API communication; convert the parsed personal assistant data by use of the identified service translation information, so as to produce converted data, wherein the service translation information comprises: terms used in connection with the network API, and corresponding translation outputs; include the converted data in the parsed personal assistant data; and send the parsed personal assistant data that includes the converted data to the computing device. 15. The network server of claim 13 , wherein the parsing service is configured to determine relative weights of relationships between the parsed personal assistant data, and to include the relative weights of relationships in the parsed personal assistant data.
| 0.532447 |
2. The method according to claim 1 further comprising the step of: connecting two or more of said communication devices by said computer system in an audio conference bridge when said two or more of said communication devices are associated with said main language.
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2. The method according to claim 1 further comprising the step of: connecting two or more of said communication devices by said computer system in an audio conference bridge when said two or more of said communication devices are associated with said main language. 3. The method according to claim 2 wherein said controlling step further comprises connecting by said computer system the communication device of the interpreter for each one of said difference languages than said main language to said audio conference bridge.
| 0.959809 |
21. An apparatus operable to analyze verbal communication, comprising: at least one computer processor programmed to implement: a recording controller operable to produce an electronic recording of a plurality of conversations, each of the plurality of conversations comprising a plurality of words spoken by one or more individuals; and an identification controller operable to process the electronic recording to identify a plurality of word alternatives for each of the spoken words, each of the plurality of word alternatives being identified by comparing a portion of the electronic recording to a lexicon, each of the plurality of word alternatives being assigned a corresponding probability of correctly identifying a spoken word; wherein the apparatus comprises an electronic file storage operable to store the word alternatives and the corresponding probabilities, at least two of the stored word alternatives being for a particular spoken word, a first word alternative of the at least two stored word alternatives being assigned a lower probability of correctly identifying the particular spoken word than another word alternative of the at least two stored word alternatives; and wherein the at least one computer processor is further programmed to implement an analysis controller operable to examine the word alternatives and the corresponding probabilities stored in the electronic file storage in the aggregate to determine at least one characteristic of the plurality of conversations other than a word alternative having a highest probability of correctly identifying a spoken word.
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21. An apparatus operable to analyze verbal communication, comprising: at least one computer processor programmed to implement: a recording controller operable to produce an electronic recording of a plurality of conversations, each of the plurality of conversations comprising a plurality of words spoken by one or more individuals; and an identification controller operable to process the electronic recording to identify a plurality of word alternatives for each of the spoken words, each of the plurality of word alternatives being identified by comparing a portion of the electronic recording to a lexicon, each of the plurality of word alternatives being assigned a corresponding probability of correctly identifying a spoken word; wherein the apparatus comprises an electronic file storage operable to store the word alternatives and the corresponding probabilities, at least two of the stored word alternatives being for a particular spoken word, a first word alternative of the at least two stored word alternatives being assigned a lower probability of correctly identifying the particular spoken word than another word alternative of the at least two stored word alternatives; and wherein the at least one computer processor is further programmed to implement an analysis controller operable to examine the word alternatives and the corresponding probabilities stored in the electronic file storage in the aggregate to determine at least one characteristic of the plurality of conversations other than a word alternative having a highest probability of correctly identifying a spoken word. 22. The apparatus of claim 21 , wherein the analysis controller is further operable to determine a frequency at which a particular word alternative occurs within the plurality of conversations.
| 0.62915 |
7. A method of translating windows displayed by broadcast automation software, method comprising: displaying at least two different windows of the broadcast automation software, each different window including a plurality of user interface (UI) strings programmed into the broadcast automation software, by executing a computer instruction; translating a particular UI string differently based, at least in part, on which of the at least two different windows is displaying the particular UI string, by executing a computer instruction; and presenting a first plurality of the UI strings in a context of a first window, by executing a computer instruction; and presenting a second plurality of the UI strings in a context of a second window, by executing a computer instruction.
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7. A method of translating windows displayed by broadcast automation software, method comprising: displaying at least two different windows of the broadcast automation software, each different window including a plurality of user interface (UI) strings programmed into the broadcast automation software, by executing a computer instruction; translating a particular UI string differently based, at least in part, on which of the at least two different windows is displaying the particular UI string, by executing a computer instruction; and presenting a first plurality of the UI strings in a context of a first window, by executing a computer instruction; and presenting a second plurality of the UI strings in a context of a second window, by executing a computer instruction. 10. The method of claim 7 , wherein translating differently includes translating from a default language into one of a first language and a second language.
| 0.705337 |
11. A computer-readable medium that contains computer program instructions, the execution of the computer program instructions by at least one data processor results in performance of operations that comprise: receiving a request from a requestor to validate a data assemblage expressed in Javascript Object Notation (JSON); translating the data assemblage expressed in JSON into an extensible markup language (XML) instance; validating the XML instance using syntactic schema and semantic schema specifications; and sending a response to the requestor, where for a case where the data assemblage contains invalid data in at least one field the response is comprised of an output array comprising information for specifying valid data for the at least one field and a message explaining a reason why the field is invalid.
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11. A computer-readable medium that contains computer program instructions, the execution of the computer program instructions by at least one data processor results in performance of operations that comprise: receiving a request from a requestor to validate a data assemblage expressed in Javascript Object Notation (JSON); translating the data assemblage expressed in JSON into an extensible markup language (XML) instance; validating the XML instance using syntactic schema and semantic schema specifications; and sending a response to the requestor, where for a case where the data assemblage contains invalid data in at least one field the response is comprised of an output array comprising information for specifying valid data for the at least one field and a message explaining a reason why the field is invalid. 13. The computer-readable medium as in claim 11 , where the syntactic schema is specified using XML Schema (XSD).
| 0.736274 |
3. The device of claim 2 , wherein: the first speaker speaks a first language; the second speaker speaks a second language that is different from the first language; and the at least one programmable processor is further programmed to: automatically translate the recognized speech by second speaker in the second language to the first language; extract at least information from the recognized speech by the second speaker by extracting at least information from the translation of the recognized speech by the second speaker translated to the first language; and enter the extracted information by entering the extracted information from the translation of the recognized speech by the second speaker translated to the first language into the electronic form stored in the at least one data storage unit.
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3. The device of claim 2 , wherein: the first speaker speaks a first language; the second speaker speaks a second language that is different from the first language; and the at least one programmable processor is further programmed to: automatically translate the recognized speech by second speaker in the second language to the first language; extract at least information from the recognized speech by the second speaker by extracting at least information from the translation of the recognized speech by the second speaker translated to the first language; and enter the extracted information by entering the extracted information from the translation of the recognized speech by the second speaker translated to the first language into the electronic form stored in the at least one data storage unit. 5. The device of claim 3 , wherein the processor is programmed to extract the information from the translation of the recognized speech by the second speaker translated to the first language by parsing the translation by a semantic grammar.
| 0.839676 |
11. The method of claim 1 , further comprising: presenting the new subcategory to an administrator based on the stored taxonomy not including the new subcategory, wherein the updating the stored taxonomy comprises updating the stored taxonomy in response to the administrator accepting the new subcategory.
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11. The method of claim 1 , further comprising: presenting the new subcategory to an administrator based on the stored taxonomy not including the new subcategory, wherein the updating the stored taxonomy comprises updating the stored taxonomy in response to the administrator accepting the new subcategory. 12. The method of claim 11 , wherein the extracting, determining, and presenting are performed automatically and without human intervention.
| 0.904342 |
19. A method of text display as claimed in claim 18 wherein a display area corresponds to a window.
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19. A method of text display as claimed in claim 18 wherein a display area corresponds to a window. 20. A method of text display as claimed in claim 19 wherein the size of the window corresponds to the complete screen of the display means.
| 0.961681 |
19. The method of claim 16 further comprising: disambiguating, as part of converting, the unstructured text; and forming, from resulting disambiguated text, annotation query language statements.
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19. The method of claim 16 further comprising: disambiguating, as part of converting, the unstructured text; and forming, from resulting disambiguated text, annotation query language statements. 20. The method of claim 19 , wherein parsing comprises parsing the annotation query language statements.
| 0.947326 |
2. Apparatus for the classification of patterns as claimed in claim 1 in which said statistical property comprises at least one variance matrix of said plurality of reference representations.
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2. Apparatus for the classification of patterns as claimed in claim 1 in which said statistical property comprises at least one variance matrix of said plurality of reference representations. 5. Apparatus for the classification of patterns as claimed in claim 2 in which at least some of said reference patterns are combinations of handwritten characters.
| 0.933924 |
1. A method for processing a query, the method comprising: providing, in a database management system configured to store structured documents in their native format, an inverted multi-path index configured to store a plurality of path-value pairs and a selectivity factor for each of the path-value pairs based on a number of the structured documents that include one of the path-value pairs, wherein each path-value pair references at least one structured document stored in the database system and comprises an index path expression of an indexed element in a stored structured document and an indexed value associated with the indexed element; receiving, by an indexing engine in the database management system, a clause including a path expression-value pair comprising a path expression associated with an element of a structured document and a value, wherein the clause is included in a query for at least one structured document satisfying the clause; determining, by the indexing engine, that the clause can be processed by the inverted multi-path index; processing, by the indexing engine, the clause to identify a path-value pair in the inverted multi-path index matching the path expression-value pair of the clause; and identifying, by the indexing engine, the at least one structured document referenced by the matching path-value pair.
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1. A method for processing a query, the method comprising: providing, in a database management system configured to store structured documents in their native format, an inverted multi-path index configured to store a plurality of path-value pairs and a selectivity factor for each of the path-value pairs based on a number of the structured documents that include one of the path-value pairs, wherein each path-value pair references at least one structured document stored in the database system and comprises an index path expression of an indexed element in a stored structured document and an indexed value associated with the indexed element; receiving, by an indexing engine in the database management system, a clause including a path expression-value pair comprising a path expression associated with an element of a structured document and a value, wherein the clause is included in a query for at least one structured document satisfying the clause; determining, by the indexing engine, that the clause can be processed by the inverted multi-path index; processing, by the indexing engine, the clause to identify a path-value pair in the inverted multi-path index matching the path expression-value pair of the clause; and identifying, by the indexing engine, the at least one structured document referenced by the matching path-value pair. 2. The method of claim 1 wherein each path-value pair in the inverted multi-path index is generated when the indexed element is indexed according to a sub-path definition covering the indexed element, wherein the sub-path definition is included in a multi-path index definition associated with the inverted multi-path index, and covers a plurality of elements descending from a root element and includes at least one index property.
| 0.581395 |
27. The computer program product of claim 26 , wherein the computer program product is executable on a processor of a portable computing device.
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27. The computer program product of claim 26 , wherein the computer program product is executable on a processor of a portable computing device. 28. The computer program product of claim 27 , wherein the one or more media are readable by the portable computing device or readable incident to a computer program product conveying transmission to the portable computing device.
| 0.895116 |
6. The method of claim 1 , further comprising: receiving one or more representations of acceptable network traffic; and training each of one or more of the plurality of scoring algorithms to score target operations or events using the one or more representations of acceptable network traffic.
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6. The method of claim 1 , further comprising: receiving one or more representations of acceptable network traffic; and training each of one or more of the plurality of scoring algorithms to score target operations or events using the one or more representations of acceptable network traffic. 7. The method of claim 6 , wherein the one or more representations of acceptable network traffic comprise a plurality of representations of acceptable operations or events, and wherein training at least one of the one or more scoring algorithms to score target operations or events using the one or more representations of acceptable network traffic comprises: parsing the plurality of representations of acceptable operations or events into a plurality of parse trees; and generating a pattern-matching tree that is an isomorphism between two or more of the plurality of parse trees and represents a unification of the two or more parse trees.
| 0.761134 |
1. A method of producing a desired digital image of at least one desired face by a computer comprising: providing to the computer a digital image of at least one original face, wherein an original face comprises a foreground region drawn according to a set of guidelines; providing at least one face image from external sources; for the original face within the digital image, selecting a corresponding face image (selected corresponding face image) from among the face images from external sources; for the original face within the digital image, modifying the selected corresponding face image (modified corresponding face image); and replacing the original face within the digital image with the selected and modified corresponding face image at a desired position and a desired size within the digital image to produce the desired digital image of the desired face, wherein the set of guidelines comprises defining the original face as the foreground region drawn within the digital image to resemble and represent the desired face, defining the original face as the foreground region surrounded by other (foreground and/or background) regions and/or edges within the digital image, defining the original face as the foreground region with a distinctive edge wherein the distinctive edge separates the original face from the other regions within the digital image, defining a position of the original face drawn within the digital image as the desired position of the desired face, defining a size of the original face drawn within the digital image as the desired size of the desired face, defining the original face as the foreground region with majority of an area in a unanimous colour, defining the original face as the foreground region containing facial features, wherein the facial features and the foreground region of the original face are separated by different colours or edges, defining the facial features as comprising two eyes and one mouth, defining the two eyes as similar in size to each other, defining each of the two eyes to be in a unanimous colour, defining the mouth as bigger in size than each of the two eyes, defining the mouth to be in a unanimous colour, defining an arrangement of the two eyes and the mouth within the original face, as similar to an arrangement of eyes and mouth of a real human face, defining the sizes of the two eyes and the mouth relative to corresponding sizes of the original face, as similar to sizes of the eyes and the mouth of a real human face relative to the corresponding sizes of the real human face, and defining an upright position of the original face as a position where the two eyes are lying horizontally, with the mouth lying below the two eyes.
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1. A method of producing a desired digital image of at least one desired face by a computer comprising: providing to the computer a digital image of at least one original face, wherein an original face comprises a foreground region drawn according to a set of guidelines; providing at least one face image from external sources; for the original face within the digital image, selecting a corresponding face image (selected corresponding face image) from among the face images from external sources; for the original face within the digital image, modifying the selected corresponding face image (modified corresponding face image); and replacing the original face within the digital image with the selected and modified corresponding face image at a desired position and a desired size within the digital image to produce the desired digital image of the desired face, wherein the set of guidelines comprises defining the original face as the foreground region drawn within the digital image to resemble and represent the desired face, defining the original face as the foreground region surrounded by other (foreground and/or background) regions and/or edges within the digital image, defining the original face as the foreground region with a distinctive edge wherein the distinctive edge separates the original face from the other regions within the digital image, defining a position of the original face drawn within the digital image as the desired position of the desired face, defining a size of the original face drawn within the digital image as the desired size of the desired face, defining the original face as the foreground region with majority of an area in a unanimous colour, defining the original face as the foreground region containing facial features, wherein the facial features and the foreground region of the original face are separated by different colours or edges, defining the facial features as comprising two eyes and one mouth, defining the two eyes as similar in size to each other, defining each of the two eyes to be in a unanimous colour, defining the mouth as bigger in size than each of the two eyes, defining the mouth to be in a unanimous colour, defining an arrangement of the two eyes and the mouth within the original face, as similar to an arrangement of eyes and mouth of a real human face, defining the sizes of the two eyes and the mouth relative to corresponding sizes of the original face, as similar to sizes of the eyes and the mouth of a real human face relative to the corresponding sizes of the real human face, and defining an upright position of the original face as a position where the two eyes are lying horizontally, with the mouth lying below the two eyes. 12. The method of claim 1 , wherein the set of guidelines further comprises: defining a facial colour of the original face as dependence upon at least one colour of the original face; defining the original face with the facial colour as belonging to a same subject; and defining the original face with a different facial colour as belonging to a different subject.
| 0.506048 |
1. A system comprising: a Braille encoder to convert textual portions of a content to a plurality of Braille codes; a haptic output controller to convert non-textual portions of the content to haptic feedback; a plurality of Braille cells or a Braille wheel to output the Braille codes and selectively output the haptic feedback with corresponding Braille codes, and a position input controller to determine a position of a user relative to one or more of the plurality of Braille cells with the position input controller selectively outputting the haptic feedback representing the non-textual portions of the content responsive to a determination that the position of the user is proximate one or more of the Braille cells outputting the corresponding Braille codes.
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1. A system comprising: a Braille encoder to convert textual portions of a content to a plurality of Braille codes; a haptic output controller to convert non-textual portions of the content to haptic feedback; a plurality of Braille cells or a Braille wheel to output the Braille codes and selectively output the haptic feedback with corresponding Braille codes, and a position input controller to determine a position of a user relative to one or more of the plurality of Braille cells with the position input controller selectively outputting the haptic feedback representing the non-textual portions of the content responsive to a determination that the position of the user is proximate one or more of the Braille cells outputting the corresponding Braille codes. 2. The system according to claim 1 , wherein a non-textual portion of the content is a first non-textual portion of the content, and the haptic feedback has a first type, a first characteristic, or a first parameter indicative of the first non-textual portion of the content, a type of the first non-textual portion of the content, a class of the first non-textual portion of the content, a characteristic of the first non-textual portion of the content, or a parameter of the first non-textual portion of the content and the haptic feedback has a second type, characteristic, or parameter indicative of a second non-textual portion of the content, a type of the second non-textual portion of the content, a class of the second non-textual portion of the content, a characteristic of the second non-textual portion of the content, or a parameter of the second non-textual portion of the content.
| 0.5 |
13. A computer program product for evaluating information confidence based on cognitive behavior indicators of a user, the computer program product comprising: a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processor to cause the processor to perform a method comprising: determining a system generated answer to a question in an active learning question and answer system, wherein the system generated answer includes a first answer confidence score for the system generated answer; querying a user for an answer to the question in the active learning question and answer system based on the first answer confidence score; receiving information from the user as an answer to the question in the active learning question and answer system; monitoring the user for one or more cognitive behavior indicators detected by a sensor when the user is providing the information, wherein the one or more cognitive behavior indicators comprise one or more biometric measurements of the user at a time the information is provided by the user and measures of an influence of an external stimuli on the user at the time the information is provided by the user; determining a second answer confidence score for the information received from the user based on the one or more biometric measurements of the user and the measures of external stimuli on the user; annotating the information with the cognitive behavior indicators, a user profile associated with the user, and the second answer confidence score; and updating the first answer confidence score based at least in part on the second answer confidence score.
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13. A computer program product for evaluating information confidence based on cognitive behavior indicators of a user, the computer program product comprising: a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processor to cause the processor to perform a method comprising: determining a system generated answer to a question in an active learning question and answer system, wherein the system generated answer includes a first answer confidence score for the system generated answer; querying a user for an answer to the question in the active learning question and answer system based on the first answer confidence score; receiving information from the user as an answer to the question in the active learning question and answer system; monitoring the user for one or more cognitive behavior indicators detected by a sensor when the user is providing the information, wherein the one or more cognitive behavior indicators comprise one or more biometric measurements of the user at a time the information is provided by the user and measures of an influence of an external stimuli on the user at the time the information is provided by the user; determining a second answer confidence score for the information received from the user based on the one or more biometric measurements of the user and the measures of external stimuli on the user; annotating the information with the cognitive behavior indicators, a user profile associated with the user, and the second answer confidence score; and updating the first answer confidence score based at least in part on the second answer confidence score. 17. The computer program product of claim 13 , wherein the computer readable program code is further configured to perform excluding information from the user if the quantified level of the information confidence is below a designated threshold.
| 0.623932 |
5. A computer-implemented method for executing an action based on audio data, the computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, generating first speech processing results comprising a first semantic representation of at least a portion of a first user utterance, the first speech processing results generated using a speech processing system and audio data regarding at least the portion of the first user utterance; determining that a second semantic representation of at least a portion of a second user utterance relates to a correction to the first semantic representation; generating, using the first semantic representation, one or more lexical representations associated with a meaning corresponding to the first semantic representation; storing correction information in an error list separate from the first speech processing results and separate from second speech processing results comprising the second semantic representation, wherein the correction information indicates that the one or more lexical representations are erroneous; determining, using the correction information, that at least a portion of a first speech processing hypothesis, of a plurality of speech processing hypotheses for a third user utterance, corresponds to a lexical representation of the one or more lexical representations; removing the first speech processing hypothesis from the plurality of speech processing hypotheses based at least partly on the determining that at least the portion of the first speech processing hypothesis corresponds to the lexical representation; generating a third semantic representation of at least a portion of the third user utterance using a second speech processing hypothesis of the plurality of speech processing hypotheses instead of the first speech processing hypothesis based at least partly on the second speech processing hypothesis remaining in the plurality of speech processing hypotheses after the first speech processing hypothesis is removed, wherein the first speech processing hypothesis is associated with a first executable action, and wherein the second speech processing hypotheses is associated with a second executable action distinct from the first executable action; and executing the second executable action.
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5. A computer-implemented method for executing an action based on audio data, the computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, generating first speech processing results comprising a first semantic representation of at least a portion of a first user utterance, the first speech processing results generated using a speech processing system and audio data regarding at least the portion of the first user utterance; determining that a second semantic representation of at least a portion of a second user utterance relates to a correction to the first semantic representation; generating, using the first semantic representation, one or more lexical representations associated with a meaning corresponding to the first semantic representation; storing correction information in an error list separate from the first speech processing results and separate from second speech processing results comprising the second semantic representation, wherein the correction information indicates that the one or more lexical representations are erroneous; determining, using the correction information, that at least a portion of a first speech processing hypothesis, of a plurality of speech processing hypotheses for a third user utterance, corresponds to a lexical representation of the one or more lexical representations; removing the first speech processing hypothesis from the plurality of speech processing hypotheses based at least partly on the determining that at least the portion of the first speech processing hypothesis corresponds to the lexical representation; generating a third semantic representation of at least a portion of the third user utterance using a second speech processing hypothesis of the plurality of speech processing hypotheses instead of the first speech processing hypothesis based at least partly on the second speech processing hypothesis remaining in the plurality of speech processing hypotheses after the first speech processing hypothesis is removed, wherein the first speech processing hypothesis is associated with a first executable action, and wherein the second speech processing hypotheses is associated with a second executable action distinct from the first executable action; and executing the second executable action. 8. The computer-implemented method of claim 5 , wherein the first speech processing hypothesis comprises the first semantic representation.
| 0.638795 |
11. A computer-implemented method of providing navigational instructions, comprising: receiving unabbreviated instructions that direct navigation over a geographical route from a starting location to a destination location; segmenting the unabbreviated instructions into logical groups; selecting one or more of the logical groups for abbreviation processing based on suitability factors; and abbreviating the instructions of the one or more logical groups.
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11. A computer-implemented method of providing navigational instructions, comprising: receiving unabbreviated instructions that direct navigation over a geographical route from a starting location to a destination location; segmenting the unabbreviated instructions into logical groups; selecting one or more of the logical groups for abbreviation processing based on suitability factors; and abbreviating the instructions of the one or more logical groups. 13. The method of claim 11 , further comprising identifying a middle logical group based on a continuous sequence of instructions that direct navigation over a limited-access road for a portion of the route.
| 0.550766 |
1. A method for applying tags to files of a file system, the method comprising: operating at least one programmed processor to carry out a series of acts, the series of acts being identified by executable instructions with which the at least one programmed processor is programmed, the series of acts comprising: first detecting, while information regarding one or more files is displayed in a computing interface, a user selection of at least one particular file of the one or more files; second detecting, following the first detecting of the user selection and while the information regarding the one or more files is displayed in the computing interface, a computing interface input of one or more characters from the user, each of the one or more characters in the computing interface input corresponding to successive characters of a desired tag to be applied to the at least one particular file; and in response to the first detecting and the second detecting following the first detecting, automatically entering a tagging mode of the computing interface without further user interaction, other than the user selection of the at least one particular file and the computing interface input of the one or more characters, displaying an indication that tagging is active, upon entering the tagging mode, and utilizing the computing interface input to generate a tag to be applied to the at least one particular file, the generated tag being one of a plurality of different tags to be applied to the at least one particular file via the tagging mode, all of the plurality of different tags having coexisting associations, as coexistent tags, with the at least one particular file, and determining at least one suggested tag based at least in part on the input from the user, the at least one suggested tag including at least some of the input; and displaying in the window the at least one suggested tag to be applied to the at least one particular file.
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1. A method for applying tags to files of a file system, the method comprising: operating at least one programmed processor to carry out a series of acts, the series of acts being identified by executable instructions with which the at least one programmed processor is programmed, the series of acts comprising: first detecting, while information regarding one or more files is displayed in a computing interface, a user selection of at least one particular file of the one or more files; second detecting, following the first detecting of the user selection and while the information regarding the one or more files is displayed in the computing interface, a computing interface input of one or more characters from the user, each of the one or more characters in the computing interface input corresponding to successive characters of a desired tag to be applied to the at least one particular file; and in response to the first detecting and the second detecting following the first detecting, automatically entering a tagging mode of the computing interface without further user interaction, other than the user selection of the at least one particular file and the computing interface input of the one or more characters, displaying an indication that tagging is active, upon entering the tagging mode, and utilizing the computing interface input to generate a tag to be applied to the at least one particular file, the generated tag being one of a plurality of different tags to be applied to the at least one particular file via the tagging mode, all of the plurality of different tags having coexisting associations, as coexistent tags, with the at least one particular file, and determining at least one suggested tag based at least in part on the input from the user, the at least one suggested tag including at least some of the input; and displaying in the window the at least one suggested tag to be applied to the at least one particular file. 9. The method of claim 1 , wherein the first detecting of the user selection of the at least one particular file while the information regarding the one or more files is displayed in the computing interface comprises first detecting the user selection while metadata regarding files that are stored in a folder of a file system is displayed in the computing interface.
| 0.516923 |
6. An interactive text processing system including connected random access and direct access storage, a keyboard, a display, a display refresh memory, and a processor, wherein said random access storage includes a first area for holding a portion of text of indeterminate length to be processed and displayed; and a second area having one entry for each line of text in the refresh memory, each entry including format information and a pointer to the location in said first area containing the text to be displayed on that line; said first area including a variable size area at the edit point which area shrinks and expands as a result of edit operations; and means for circulating data between said first area and said direct access storage so that the absolute location of text in said first area changes; and means for assigning each pointer entry in said second area a relative displacement value from a known address in said first area.
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6. An interactive text processing system including connected random access and direct access storage, a keyboard, a display, a display refresh memory, and a processor, wherein said random access storage includes a first area for holding a portion of text of indeterminate length to be processed and displayed; and a second area having one entry for each line of text in the refresh memory, each entry including format information and a pointer to the location in said first area containing the text to be displayed on that line; said first area including a variable size area at the edit point which area shrinks and expands as a result of edit operations; and means for circulating data between said first area and said direct access storage so that the absolute location of text in said first area changes; and means for assigning each pointer entry in said second area a relative displacement value from a known address in said first area. 7. The system of claim 6 wherein said known address in said first area is the starting address of the text line containing the edit point.
| 0.5 |
1. A system for managing litigation events comprising: a physical computer-readable medium including a litigation management application having computer-executable instructions for managing litigation events; a server operably associated with the physical computer-readable medium, the server adapted to execute the instructions for managing litigation events contained on the physical computer-readable medium; a database operably associated with the server, the database containing litigation management event information that is accessible and modifiable by the server; wherein the litigation management application contains computer executable instructions configured to: maintain a first case calendar adapted to receive inputs from a first user selecting a plurality of dates for an event, wherein the event is a deposition of a witness produced by a second user, and generate a first notification for delivery to a second case calendar; and maintain the second case calendar adapted to receive inputs from at least the second user selecting the at least one date from the plurality of dates selected by the first user for the event, and generate a second notification for delivery to the first case calendar indicating the date the second user selected; receive an input from the first user selecting one of the at least one date from the plurality of dates selected by the second user; add the event to the selected date on the first case calendar and the second case calendar; and, at a predetermined time before the event, generate a notification to the first user requesting confirmation, cancellation, or modification of the event; and generate a notification to the at least one second user indicating that the first user has either confirmed, cancelled, or modified the event.
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1. A system for managing litigation events comprising: a physical computer-readable medium including a litigation management application having computer-executable instructions for managing litigation events; a server operably associated with the physical computer-readable medium, the server adapted to execute the instructions for managing litigation events contained on the physical computer-readable medium; a database operably associated with the server, the database containing litigation management event information that is accessible and modifiable by the server; wherein the litigation management application contains computer executable instructions configured to: maintain a first case calendar adapted to receive inputs from a first user selecting a plurality of dates for an event, wherein the event is a deposition of a witness produced by a second user, and generate a first notification for delivery to a second case calendar; and maintain the second case calendar adapted to receive inputs from at least the second user selecting the at least one date from the plurality of dates selected by the first user for the event, and generate a second notification for delivery to the first case calendar indicating the date the second user selected; receive an input from the first user selecting one of the at least one date from the plurality of dates selected by the second user; add the event to the selected date on the first case calendar and the second case calendar; and, at a predetermined time before the event, generate a notification to the first user requesting confirmation, cancellation, or modification of the event; and generate a notification to the at least one second user indicating that the first user has either confirmed, cancelled, or modified the event. 3. The system of claim 1 , wherein the litigation management application further contains computer executable instructions adapted to generate an e-mail message that is transmitted by the server to an e-mail address of the second user when the first user selects the at least one date for an event.
| 0.661541 |
3. The versioned relational database system set forth in claim 2 wherein: the operations include an operation that makes a first existing workspace into a parent of a second existing workspace in the graph and updates the metadata accordingly.
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3. The versioned relational database system set forth in claim 2 wherein: the operations include an operation that makes a first existing workspace into a parent of a second existing workspace in the graph and updates the metadata accordingly. 4. The versioned relational database system set forth in claim 3 wherein: the operation that makes the first workspace into a parent of the second workspace makes the first workspace into an additional parent of the second workspace.
| 0.864974 |
18. The data processing system of claim 17 wherein only differences which are above a predefined second threshold level are used for the calculation of the mean value.
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18. The data processing system of claim 17 wherein only differences which are above a predefined second threshold level are used for the calculation of the mean value. 19. The data processing system of claim 18 , wherein calculating the quality measure for each node text index is performed in parallel.
| 0.960845 |
6. A method comprising: receiving a search query, a plurality of generic search results, and a plurality of mobile search results, wherein the generic search results each satisfy the search query, identify a respective generic resource, and have a respective search result quality score, and wherein the mobile search results each satisfy the search query, identify a respective mobile resource, and have a respective search result quality score; determining that the search query came from a mobile user; identifying a plurality of threshold scores, each threshold score being based on one or more correlations between evaluation ratings assigned by one or more people to a sample of mobile search results and their respective search result quality scores; modifying the respective search result quality score for each of one or more of the mobile search results based on whether the particular mobile search result's respective search result quality score exceeds one or more of the threshold scores, wherein modifying further comprises: multiplying the respective search result quality score of the particular mobile search result by a first value, wherein the respective search result quality score exceeds only one of the identified threshold scores; multiplying the respective search result quality score of the particular mobile search result by a second value, wherein the respective search result quality score exceeds two of the identified threshold scores, the first and second values being distinct; and wherein receiving, determining, identifying and modifying are performed by one or more data processing apparatuses.
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6. A method comprising: receiving a search query, a plurality of generic search results, and a plurality of mobile search results, wherein the generic search results each satisfy the search query, identify a respective generic resource, and have a respective search result quality score, and wherein the mobile search results each satisfy the search query, identify a respective mobile resource, and have a respective search result quality score; determining that the search query came from a mobile user; identifying a plurality of threshold scores, each threshold score being based on one or more correlations between evaluation ratings assigned by one or more people to a sample of mobile search results and their respective search result quality scores; modifying the respective search result quality score for each of one or more of the mobile search results based on whether the particular mobile search result's respective search result quality score exceeds one or more of the threshold scores, wherein modifying further comprises: multiplying the respective search result quality score of the particular mobile search result by a first value, wherein the respective search result quality score exceeds only one of the identified threshold scores; multiplying the respective search result quality score of the particular mobile search result by a second value, wherein the respective search result quality score exceeds two of the identified threshold scores, the first and second values being distinct; and wherein receiving, determining, identifying and modifying are performed by one or more data processing apparatuses. 7. The method of claim 6 , further comprising: determining a query length, the query length being the number of terms in the search query; wherein one or more of the identified threshold scores is lower for a query with a longer query length than for a query with a shorter query length.
| 0.535833 |
31. A computer-implemented method, comprising: receiving, at an information-capturing system, a text capture indication corresponding to a text capture operation performed on a rendered document that captured less than a whole page of text; the information-capturing system generating a text entry based upon said text capture indication, wherein the text entry specifies a number of documents matching text of the text capture operation; and the information-capturing system publishing the text entry.
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31. A computer-implemented method, comprising: receiving, at an information-capturing system, a text capture indication corresponding to a text capture operation performed on a rendered document that captured less than a whole page of text; the information-capturing system generating a text entry based upon said text capture indication, wherein the text entry specifies a number of documents matching text of the text capture operation; and the information-capturing system publishing the text entry. 45. A computer apparatus having a processor and a memory containing computer executable instructions that, when executed by the processor, perform the method of claim 31 .
| 0.71499 |
23. A computer program product, encoded on one or more non-transitory computer storage media, comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving a pair of words comprising a first word and a second word, where each word appears in a collection of documents; generating a word-form score for the pair of words based on a consistency of the pair of words with word-form rules, wherein a word-form rule indicates how words with a common portion can vary; computing a probability that the first word occurs within a first number of words of the second word in the one or more documents in the collection; computing a probability that the first word occurs within a second number of words of the second word in the one or more documents in the collection, wherein the second number is greater than the first number; generating a closeness score for the pair of words by dividing the first number by the second number; computing a relative frequency of occurrence for the first word and the second word in the collection of documents; generating a correlation between occurrences of a first word in the title or the anchor of the documents and occurrences of a second word in a same document; and determining that the first word and the second word are synonyms based at least on the correlation, the relative frequency of the first word and the second word, the closeness score, and the word-form score.
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23. A computer program product, encoded on one or more non-transitory computer storage media, comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving a pair of words comprising a first word and a second word, where each word appears in a collection of documents; generating a word-form score for the pair of words based on a consistency of the pair of words with word-form rules, wherein a word-form rule indicates how words with a common portion can vary; computing a probability that the first word occurs within a first number of words of the second word in the one or more documents in the collection; computing a probability that the first word occurs within a second number of words of the second word in the one or more documents in the collection, wherein the second number is greater than the first number; generating a closeness score for the pair of words by dividing the first number by the second number; computing a relative frequency of occurrence for the first word and the second word in the collection of documents; generating a correlation between occurrences of a first word in the title or the anchor of the documents and occurrences of a second word in a same document; and determining that the first word and the second word are synonyms based at least on the correlation, the relative frequency of the first word and the second word, the closeness score, and the word-form score. 24. The computer program product of claim 23 , further comprising: determining a co-occurrence frequency for the pair of words in the collection of documents; and determining that the pair of words are synonyms based at least on the determined the co-occurrence frequency.
| 0.5 |
3. The computer-implemented method of claim 1 , wherein the database is associated with a control file that includes a National Language Support (NLS) section, wherein the NLS section synchronizes data elements from the first string of data elements with data elements from the second string of data elements.
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3. The computer-implemented method of claim 1 , wherein the database is associated with a control file that includes a National Language Support (NLS) section, wherein the NLS section synchronizes data elements from the first string of data elements with data elements from the second string of data elements. 4. The computer-implemented method of claim 3 , wherein the control file is an .INI file that is used to configure the specific processor in a client computer.
| 0.946227 |
1. A method of assessing a document using a computer system, comprising: providing a document to the computer system, wherein the document comprises at least one information field; and for at least one non-signature information field of the document, comparing, using the computer system, handwriting in the non-signature information field to at least two handwriting profile representations from at least one non-signature information field of at least one other document, wherein writing in at least one of the information fields of the document comprises at least two examples of a type of handwritten information, and further comprising comparing at least two of the examples to assess whether two or more of the examples approximately match.
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1. A method of assessing a document using a computer system, comprising: providing a document to the computer system, wherein the document comprises at least one information field; and for at least one non-signature information field of the document, comparing, using the computer system, handwriting in the non-signature information field to at least two handwriting profile representations from at least one non-signature information field of at least one other document, wherein writing in at least one of the information fields of the document comprises at least two examples of a type of handwritten information, and further comprising comparing at least two of the examples to assess whether two or more of the examples approximately match. 10. The method of claim 1 , wherein the document comprises at least two non-signature information fields, and further comprising, for at least two non-signature information fields of the document, comparing handwriting in the non-signature information field of the document to at least two handwriting profile representations obtained from at least one non-signature information field of at least one other document.
| 0.638554 |
1. A system comprising: one or more computers; and a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: training a probabilistic model using data that reflects whether, given past combinations of (i) state data that references a state of a mobile device and (ii) sensor data that is sensed by one or more sensors of the mobile device, a user of the mobile device did or did not actually initiate a voice input; obtaining, as input data, particular state data that references a particular state of a mobile device, and particular sensor data that is sensed by one or more sensors of the mobile device; inferring, based on applying the probabilistic model to the input data, that the user of the mobile device is likely to initiate voice input; and invoking voice input functionality of the mobile device in response to inferring that the user is likely to initiate voice input.
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1. A system comprising: one or more computers; and a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: training a probabilistic model using data that reflects whether, given past combinations of (i) state data that references a state of a mobile device and (ii) sensor data that is sensed by one or more sensors of the mobile device, a user of the mobile device did or did not actually initiate a voice input; obtaining, as input data, particular state data that references a particular state of a mobile device, and particular sensor data that is sensed by one or more sensors of the mobile device; inferring, based on applying the probabilistic model to the input data, that the user of the mobile device is likely to initiate voice input; and invoking voice input functionality of the mobile device in response to inferring that the user is likely to initiate voice input. 13. The system of claim 1 , wherein the operations further comprise: communicating an audio signal and duration data between the mobile device and the server, wherein the duration data indicates a duration of a background audio recording encoded in the audio signal that is recorded before the user begins speaking.
| 0.645818 |
3. The system recited in claim 2 , wherein the scoring means comprises a code segment in the software comprising a set of rules for calculating a score for each attempt.
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3. The system recited in claim 2 , wherein the scoring means comprises a code segment in the software comprising a set of rules for calculating a score for each attempt. 10. The system recited in claim 3 , wherein the letter in the acceptable letter-phoneme correspondence comprises one of a plurality of letters substitutable for each other, and wherein the substitutable letters comprise backwards letters, silent letters at an end of the word, a single representation of a double letter, a consonant in a common voiced/voiceless pair, and one of a predetermined set of letters having a common characteristic.
| 0.731796 |
13. A method comprising: obtaining a Boolean function; constructing an abstracted function associated with the Boolean function, the abstracted function is defined over a non-Boolean domain; adding a limitation on a number of inputs of the abstracted function which are assigned a Boolean value, said adding the limitation is performed using a processor, the limitation comprising: defining a control variable associated with an input; and defining a cardinality constraint over a value of one or more control variables; whereby the Boolean function is transformed to the abstracted function, the abstracted function is configured to be satisfied by a partial assignment; and utilizing a SAT solver to determine a partial assignment that satisfies the abstracted function.
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13. A method comprising: obtaining a Boolean function; constructing an abstracted function associated with the Boolean function, the abstracted function is defined over a non-Boolean domain; adding a limitation on a number of inputs of the abstracted function which are assigned a Boolean value, said adding the limitation is performed using a processor, the limitation comprising: defining a control variable associated with an input; and defining a cardinality constraint over a value of one or more control variables; whereby the Boolean function is transformed to the abstracted function, the abstracted function is configured to be satisfied by a partial assignment; and utilizing a SAT solver to determine a partial assignment that satisfies the abstracted function. 16. The method of claim 13 further comprises synthesizing a clock gating function based on the one or more assignments.
| 0.564699 |
1. A method for communication, comprising: detecting, by a computing device, a connection with a sensor configured to detect only a single gesture, wherein the computing device is configured to connect with a plurality of sensors of different types; determining, by the computing device, a type of the sensor; determining, by the computing device, a filter based on the type of the sensor, wherein the filter is generated based on analysis of signals associated with the type of sensor and configured the computing device to classify gestures as intentional or unintentional based on a first timing threshold and a frequency characteristic; receiving, by the computing device from the sensor, a signal representing a plurality of candidate inputs detected by the sensor; classifying, by the computing device, the plurality of candidate inputs as one or more intentional inputs based on the first timing threshold and the frequency characteristic; determining, by the computing device, timing information indicative of a time difference between receiving a first input signal of the one or more intentional inputs and receiving a second input signal of the one or more intentional inputs; determining, by the computing device, that the one or more intentional inputs are relevant to a single command based on the timing information; counting, by the computing device, a number of the one or more intentional inputs relevant to the single command; selecting, by the computing device, a target device from a plurality of devices, based on the number of the one or more intentional inputs relevant to the single command, wherein each of the plurality of devices is associated with a respective number and a number of the target device matches the number of the one or more intentional outputs relevant to the single command; and providing a signal to the selected target device in response to the intentional input.
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1. A method for communication, comprising: detecting, by a computing device, a connection with a sensor configured to detect only a single gesture, wherein the computing device is configured to connect with a plurality of sensors of different types; determining, by the computing device, a type of the sensor; determining, by the computing device, a filter based on the type of the sensor, wherein the filter is generated based on analysis of signals associated with the type of sensor and configured the computing device to classify gestures as intentional or unintentional based on a first timing threshold and a frequency characteristic; receiving, by the computing device from the sensor, a signal representing a plurality of candidate inputs detected by the sensor; classifying, by the computing device, the plurality of candidate inputs as one or more intentional inputs based on the first timing threshold and the frequency characteristic; determining, by the computing device, timing information indicative of a time difference between receiving a first input signal of the one or more intentional inputs and receiving a second input signal of the one or more intentional inputs; determining, by the computing device, that the one or more intentional inputs are relevant to a single command based on the timing information; counting, by the computing device, a number of the one or more intentional inputs relevant to the single command; selecting, by the computing device, a target device from a plurality of devices, based on the number of the one or more intentional inputs relevant to the single command, wherein each of the plurality of devices is associated with a respective number and a number of the target device matches the number of the one or more intentional outputs relevant to the single command; and providing a signal to the selected target device in response to the intentional input. 7. The method of claim 1 , further comprising determining an electrical resistance value of the connection with the sensor, wherein the type of the sensor is determined based on the electrical resistance value.
| 0.576098 |
6. A non-transitory, computer-readable medium storing computer-executable code for developing applications that provide data security when executed by one or more processors associated with one or more computer systems, the non-transitory, computer-readable medium comprising: code configured to define a view object of an application development framework that presents data stored in datasources according to a predetermined view in applications built on the datasources using the application development framework, and store the view object in memory; code configured to receive information mapping each of a plurality of attributes of the view object to data stored in at least one datasource of the datasources; code to configure attribute security with respect to at least two attributes of the view object at least in part by: receiving expressions that restrict output in the applications of the data mapped to the at least two attributes of the plurality of attributes of the view object in the predetermined view, wherein a first expression of the expressions corresponds to a first role and a first privilege of an identified user, and a second expression of the expressions corresponds to a second role and a second privilege of the identified user; and defining a first security property and a second security property of the at least two attributes, and storing values for the first security property and the second security property in a table of properties defined for the view object; code configured to generate an application with the application development framework based at least in part on the view object; code configured to, responsive to a request corresponding to the view object, and based at least in part on the first security property and the second security property and the values stored in the table of the properties defined for the view object, restricting access, allowed to the identified user according to the first role, to first data mapped to the at least two attributes of the view object, and restrict output, via the application, of second data mapped to the at least two attributes of the view object in the predetermined view according to the second role so that data corresponding to the at least two attributes is excluded from a record and/or a row that is output; wherein each attribute of the plurality of attributes corresponds to one or both of a respective field of the record and a respective column of the row.
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6. A non-transitory, computer-readable medium storing computer-executable code for developing applications that provide data security when executed by one or more processors associated with one or more computer systems, the non-transitory, computer-readable medium comprising: code configured to define a view object of an application development framework that presents data stored in datasources according to a predetermined view in applications built on the datasources using the application development framework, and store the view object in memory; code configured to receive information mapping each of a plurality of attributes of the view object to data stored in at least one datasource of the datasources; code to configure attribute security with respect to at least two attributes of the view object at least in part by: receiving expressions that restrict output in the applications of the data mapped to the at least two attributes of the plurality of attributes of the view object in the predetermined view, wherein a first expression of the expressions corresponds to a first role and a first privilege of an identified user, and a second expression of the expressions corresponds to a second role and a second privilege of the identified user; and defining a first security property and a second security property of the at least two attributes, and storing values for the first security property and the second security property in a table of properties defined for the view object; code configured to generate an application with the application development framework based at least in part on the view object; code configured to, responsive to a request corresponding to the view object, and based at least in part on the first security property and the second security property and the values stored in the table of the properties defined for the view object, restricting access, allowed to the identified user according to the first role, to first data mapped to the at least two attributes of the view object, and restrict output, via the application, of second data mapped to the at least two attributes of the view object in the predetermined view according to the second role so that data corresponding to the at least two attributes is excluded from a record and/or a row that is output; wherein each attribute of the plurality of attributes corresponds to one or both of a respective field of the record and a respective column of the row. 9. The non-transitory, computer-readable medium of claim 6 , wherein the code configured to receive the expressions comprises code configured to receive a reference to one or more business objects stored in the at least one datasource as entity objects.
| 0.501574 |
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