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1. A computer implemented method performed by one or more processors, the method comprising the following operations: providing a scripting language editor for generating software components for a business application, the scripting language editor configured to receive input associated with a scripting language and save the input and software components into a scripting language file on a repository on a backend server system; providing a scripting language compiler for identifying a scripting language file and retrieving and cross-compiling the software components of the scripting language file saved by the scripting language editor, wherein the cross-compiling comprises: retrieving metadata from a backend server system, the metadata associated with at least one of a business object or a data type of a platform of the business application; creating one or more metadata-driven context libraries associated with the scripting language, the one or more metadata-driven context libraries providing access to context information for the at least one business object or data type at runtime; and generating, by a computer, a business application language file comprising only reusable software components based on a translation of the software components of the scripting language file and the metadata; and executing the business application language file at runtime, the business application language file comprising only code that accesses context information at runtime based on the metadata, wherein the code within the business application language file when executed drives the one or more metadata-driven context libraries to produce context-specific source code corresponding to the reusable software components.
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1. A computer implemented method performed by one or more processors, the method comprising the following operations: providing a scripting language editor for generating software components for a business application, the scripting language editor configured to receive input associated with a scripting language and save the input and software components into a scripting language file on a repository on a backend server system; providing a scripting language compiler for identifying a scripting language file and retrieving and cross-compiling the software components of the scripting language file saved by the scripting language editor, wherein the cross-compiling comprises: retrieving metadata from a backend server system, the metadata associated with at least one of a business object or a data type of a platform of the business application; creating one or more metadata-driven context libraries associated with the scripting language, the one or more metadata-driven context libraries providing access to context information for the at least one business object or data type at runtime; and generating, by a computer, a business application language file comprising only reusable software components based on a translation of the software components of the scripting language file and the metadata; and executing the business application language file at runtime, the business application language file comprising only code that accesses context information at runtime based on the metadata, wherein the code within the business application language file when executed drives the one or more metadata-driven context libraries to produce context-specific source code corresponding to the reusable software components. 9. The method of claim 1 , wherein identifying the scripting language file includes designating the scripting language file for compilation in response to a change in content of the scripting language file in the scripting language editor.
| 0.545819 |
7. The system of claim 4 , wherein the logic that performs the analysis of text from the closed captioning data further comprises: logic that identifies a quotation corresponding to a portion of dialog from the video content feature as being associated with a scene in the video content feature; logic that identifies the quotation within the closed captioning data; and logic that ranks the scene corresponding to the quotation.
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7. The system of claim 4 , wherein the logic that performs the analysis of text from the closed captioning data further comprises: logic that identifies a quotation corresponding to a portion of dialog from the video content feature as being associated with a scene in the video content feature; logic that identifies the quotation within the closed captioning data; and logic that ranks the scene corresponding to the quotation. 8. The system of claim 7 , wherein the logic that identifies the quotation corresponding to the portion of dialog from the video content feature further comprises logic that determines whether the quotation corresponds to at least one of a plurality of user identified quotations associated with the video content feature, the plurality of user identified quotations being identified in a network site in communication with the at least one computing device.
| 0.579661 |
4. The method of claim 1 , wherein the comparing comprises: generating a unique representation of the set of text in the source code document; and comparing the unique representation of the set of text with the unique representation of the source code comment text.
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4. The method of claim 1 , wherein the comparing comprises: generating a unique representation of the set of text in the source code document; and comparing the unique representation of the set of text with the unique representation of the source code comment text. 5. The method of claim 4 , wherein generating the unique representation comprises: applying one or more hashing operations on the set of text.
| 0.958476 |
8. A system for multilingual asynchronous communications, the system comprising a computer processor, a computer memory operatively coupled to the computer processor, the computer memory having disposed thereon computer program instructions capable of: receiving, by a recipient multilingual communications application of a recipient computing device, from a sender multilingual communications application of a sender computing device, a first speech message recorded in a first digital media file, wherein the first speech message is received via the sender multilingual communications application from a first user; converting, by the recipient multilingual communications application, the first speech message to a text representation of the first speech message; identifying, by the recipient multilingual communications application, that the text representation of the first speech message is in a source language that is not a predetermined target language; translating, by the recipient multilingual communications application in the recipient computing device of a second user, the text representation of the first speech message in the source language to a translated text representation of the first speech message in the target language, wherein the recipient multilingual communications application in the recipient computing device of the second user translates the text representation of the first speech message to the translated text representation of the first speech message in the target language based on the received first digital media file; converting, by the recipient multilingual communications application, the translated text representation of the first speech message to synthesized speech in the target language; recording, by the recipient multilingual communications application, the synthesized speech in the target language in a second digital media file; playing the second digital media file thereby rendering the synthesized speech to the second user; receiving, by the recipient multilingual communications application, from the second user, a second speech message in the target language comprising a response to the synthesized speech; and transmitting the second speech message to the sender multilingual communications application.
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8. A system for multilingual asynchronous communications, the system comprising a computer processor, a computer memory operatively coupled to the computer processor, the computer memory having disposed thereon computer program instructions capable of: receiving, by a recipient multilingual communications application of a recipient computing device, from a sender multilingual communications application of a sender computing device, a first speech message recorded in a first digital media file, wherein the first speech message is received via the sender multilingual communications application from a first user; converting, by the recipient multilingual communications application, the first speech message to a text representation of the first speech message; identifying, by the recipient multilingual communications application, that the text representation of the first speech message is in a source language that is not a predetermined target language; translating, by the recipient multilingual communications application in the recipient computing device of a second user, the text representation of the first speech message in the source language to a translated text representation of the first speech message in the target language, wherein the recipient multilingual communications application in the recipient computing device of the second user translates the text representation of the first speech message to the translated text representation of the first speech message in the target language based on the received first digital media file; converting, by the recipient multilingual communications application, the translated text representation of the first speech message to synthesized speech in the target language; recording, by the recipient multilingual communications application, the synthesized speech in the target language in a second digital media file; playing the second digital media file thereby rendering the synthesized speech to the second user; receiving, by the recipient multilingual communications application, from the second user, a second speech message in the target language comprising a response to the synthesized speech; and transmitting the second speech message to the sender multilingual communications application. 12. The system of claim 8 , wherein computer program instructions capable of translating the text in the source language to translated text in the target language further comprise computer program instructions capable of prompting a user to select a target language.
| 0.732968 |
1. A mobile communication terminal capable of text-to-speech synthesis, the terminal comprising: a display unit for displaying at least one object on a screen; a controller for identifying a characteristic of an activated object on the screen and finding a speech data mapped to the identified characteristic; a speech synthesizer for converting textual contents of the activated object into audio data using the speech data; and an audio processor for outputting the audio data in speech sounds.
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1. A mobile communication terminal capable of text-to-speech synthesis, the terminal comprising: a display unit for displaying at least one object on a screen; a controller for identifying a characteristic of an activated object on the screen and finding a speech data mapped to the identified characteristic; a speech synthesizer for converting textual contents of the activated object into audio data using the speech data; and an audio processor for outputting the audio data in speech sounds. 6. The mobile communication terminal of claim 1 , wherein the controller obtains information on an attached object, and identifies characteristics of the activated object and the attached object when the activated object includes an attached object.
| 0.658507 |
1. A method of splitting a Chinese character sequence into word segments, the method comprising: providing a synchronization list including a plurality of Chinese words at a system; receiving an input data string including a first Chinese character sequence at the system; identifying one of the plurality of Chinese words from the synchronization list in the first Chinese character sequence at the system, wherein the identifying includes, comparing the Chinese words in the synchronization list with characters in the first Chinese character sequence; detecting a first match between a first Chinese word in the synchronization list and a leftmost or rightmost unsegmented section of the first Chinese character sequence; continuing to compare the characters in the first Chinese character sequence against other Chinese words in the synchronization list that begin with the first Chinese word; and identifying a longest Chinese word in the synchronization list that matches the leftmost or rightmost unsegmented section of the first Chinese character sequence; defining the identified longest Chinese word as a word segment in the first Chinese character sequence at the system; identifying a first undefined character sequence in the first Chinese character sequence at the system; and segmenting the first undefined character sequence into at least one word segment at the system.
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1. A method of splitting a Chinese character sequence into word segments, the method comprising: providing a synchronization list including a plurality of Chinese words at a system; receiving an input data string including a first Chinese character sequence at the system; identifying one of the plurality of Chinese words from the synchronization list in the first Chinese character sequence at the system, wherein the identifying includes, comparing the Chinese words in the synchronization list with characters in the first Chinese character sequence; detecting a first match between a first Chinese word in the synchronization list and a leftmost or rightmost unsegmented section of the first Chinese character sequence; continuing to compare the characters in the first Chinese character sequence against other Chinese words in the synchronization list that begin with the first Chinese word; and identifying a longest Chinese word in the synchronization list that matches the leftmost or rightmost unsegmented section of the first Chinese character sequence; defining the identified longest Chinese word as a word segment in the first Chinese character sequence at the system; identifying a first undefined character sequence in the first Chinese character sequence at the system; and segmenting the first undefined character sequence into at least one word segment at the system. 4. The method of claim 1 , wherein providing a synchronization list including a plurality of Chinese words at a system comprises providing a synchronization list including a plurality of Chinese family name words at the system, the method further comprising: identifying one of the plurality of Chinese family name words in the first Chinese character sequence at the system; and defining the identified Chinese family name word together with the two characters immediately following the identified Chinese family name as a word segment at the system.
| 0.760722 |
4. The system of claim 1 , further comprising a protocol binding extension layer that enables binding XMLA directly to a TCP/IP network protocol during the data interactions.
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4. The system of claim 1 , further comprising a protocol binding extension layer that enables binding XMLA directly to a TCP/IP network protocol during the data interactions. 5. The system of claim 4 , wherein the protocol binding extension layer is associated with a protocol stack specifying at least one compression component.
| 0.953052 |
16. The system of claim 13 , wherein the dominant term is selected based at least in part on the associated confidence level of each action and of each object in the list.
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16. The system of claim 13 , wherein the dominant term is selected based at least in part on the associated confidence level of each action and of each object in the list. 17. The system of claim 16 , wherein the associated confidence level of the dominant term has a greater value than the associated confidence level of other terms in the list.
| 0.930175 |
10. The system of claim 9 wherein the second deflection rod has a second deflectable end connected by a second pivotable connector to a second vertical rod.
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10. The system of claim 9 wherein the second deflection rod has a second deflectable end connected by a second pivotable connector to a second vertical rod. 11. The system of claim 10 wherein said first rod includes a first notch that at least partially receives the first pivotable connector and a second notch that at least partially receives the second pivotable connector.
| 0.864623 |
14. The tutorial system of claim 11 wherein said tutorial monitoring means includes determining means for determining whether said messages correspond to predetermined input command types.
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14. The tutorial system of claim 11 wherein said tutorial monitoring means includes determining means for determining whether said messages correspond to predetermined input command types. 15. The tutorial system of claim 14 wherein said determining means includes means for comparing said messages to commands representing user input actions that are potentially detrimental to completion of tutorial lessons.
| 0.942095 |
1. A method of querying operating system states of multiple hosts in a cluster, comprising receiving a Structure Query Language (SQL) query to determine the operating system states of the multiple hosts in the cluster; aggregating, from each of the multiple hosts, operating system state information in response to receiving the SQL query; wherein aggregating includes, for each of the multiple hosts: identifying a dataset applicable to the SQL query by parsing the SQL query; requesting the identified dataset; and receiving the dataset including the operating system state information in response to the request; creating a temporary database for storing the operating system state information by converting the datasets received from the multiple hosts into a queriable form; and executing the SQL query on the temporary database to obtain as results the operating system states of the multiple hosts.
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1. A method of querying operating system states of multiple hosts in a cluster, comprising receiving a Structure Query Language (SQL) query to determine the operating system states of the multiple hosts in the cluster; aggregating, from each of the multiple hosts, operating system state information in response to receiving the SQL query; wherein aggregating includes, for each of the multiple hosts: identifying a dataset applicable to the SQL query by parsing the SQL query; requesting the identified dataset; and receiving the dataset including the operating system state information in response to the request; creating a temporary database for storing the operating system state information by converting the datasets received from the multiple hosts into a queriable form; and executing the SQL query on the temporary database to obtain as results the operating system states of the multiple hosts. 3. The method of claim 1 , further comprising displaying the results in a table on a web-based user interface, wherein the operating system state information includes a table including data fields defined by a schema.
| 0.540807 |
1. A method for searching for a related term having rapidly increasing popularity, the method comprising: analyzing a search log and extracting a daily search frequency for search terms in the search log; comparing peaks of the daily search frequency extracted for the search terms in a period; analyzing relevance between candidate search terms for which the peaks have occurred together in the period with at least one of the search terms as a result of the comparison, and filtering out a candidate search term of the candidate search terms having no relevance; and wherein the extracting of the daily search frequency for search terms in the search log includes, extracting the daily search frequency for the search terms in the period, analyzing the daily search frequency for the search terms, extracting at least one search term having a search frequency that increases more rapidly than an increase reference value and decreases more rapidly than a decrease reference value, and extracting time information when a peak of the at least one search term has occurred.
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1. A method for searching for a related term having rapidly increasing popularity, the method comprising: analyzing a search log and extracting a daily search frequency for search terms in the search log; comparing peaks of the daily search frequency extracted for the search terms in a period; analyzing relevance between candidate search terms for which the peaks have occurred together in the period with at least one of the search terms as a result of the comparison, and filtering out a candidate search term of the candidate search terms having no relevance; and wherein the extracting of the daily search frequency for search terms in the search log includes, extracting the daily search frequency for the search terms in the period, analyzing the daily search frequency for the search terms, extracting at least one search term having a search frequency that increases more rapidly than an increase reference value and decreases more rapidly than a decrease reference value, and extracting time information when a peak of the at least one search term has occurred. 2. The method of claim 1 , wherein the comparing of the peaks of the extracted daily search frequency for the search terms in the period comprises: comparing the peaks of the extracted daily search frequency for the search terms in the period; and searching for candidate search terms for which the peaks have occurred together in the period with at least one of the search terms as the result of the comparison.
| 0.609972 |
61. At least one non-transitory computer-readable storage medium encoded with computer-executable instructions that, when executed, perform a method comprising: transcribing audio data comprising audio of one or more clinical personnel speaking while performing a surgical procedure, the audio data comprising audio of a first clinician speaking to one or more other clinical personnel while performing the surgical procedure; analyzing the transcribed audio data, including the transcribed audio of the first clinician speaking to the one or more other clinical personnel while performing the surgical procedure, at least in part by automatically extracting one or more clinical facts from the transcribed audio data, to identify relevant information for documenting the surgical procedure, wherein analyzing the transcribed audio data comprises identifying within the transcribed audio data a present-tense narration by the first clinician stating to the other clinical personnel that the first clinician is currently performing a particular step of the surgical procedure; automatically generating a text report including the relevant information documenting the surgical procedure, wherein automatically generating the text report comprises automatically transforming the present-tense narration into a non-present-tense portion in the report, stating that the particular step of the surgical procedure was performed; and outputting the automatically generated text report for review via a user interface on an audio and/or visual display device.
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61. At least one non-transitory computer-readable storage medium encoded with computer-executable instructions that, when executed, perform a method comprising: transcribing audio data comprising audio of one or more clinical personnel speaking while performing a surgical procedure, the audio data comprising audio of a first clinician speaking to one or more other clinical personnel while performing the surgical procedure; analyzing the transcribed audio data, including the transcribed audio of the first clinician speaking to the one or more other clinical personnel while performing the surgical procedure, at least in part by automatically extracting one or more clinical facts from the transcribed audio data, to identify relevant information for documenting the surgical procedure, wherein analyzing the transcribed audio data comprises identifying within the transcribed audio data a present-tense narration by the first clinician stating to the other clinical personnel that the first clinician is currently performing a particular step of the surgical procedure; automatically generating a text report including the relevant information documenting the surgical procedure, wherein automatically generating the text report comprises automatically transforming the present-tense narration into a non-present-tense portion in the report, stating that the particular step of the surgical procedure was performed; and outputting the automatically generated text report for review via a user interface on an audio and/or visual display device. 68. The at least one non-transitory computer-readable storage medium of claim 61 , wherein the method further comprises recording the audio data through one or more microphones worn by the one or more clinical personnel.
| 0.661048 |
9. A method for electronically signing an electronic transcript, comprising: receiving a signature document having a signature thereon from a user; scanning the signature into a signature image file, wherein the signature image file comprises an image of the signature; receiving an electronic transcript comprising a plurality of pages, at least one of the pages to have a signature therein certifying the accuracy of the transcript; receiving signature location information that indicates a location within the electronic transcript where the image of the signature is to appear when the electronic transcript is displayed on a viewer; incorporating the electronic transcript, the signature image file and the signature location information into an electronic transcript file; performing a first hash operation on the electronic transcript file to generate a representation of the contents of the electronic transcript file; concatenating data that identifies a user to the representation of the contents of the electronic transcript file; and performing a second hash operation on the data and the representation, the second hash operation generating a representation of the contents of the electronic transcript file and the data; providing for the recording and time stamping by a digital notary service of the representation of the contents of the electronic transcript file and the data file; obtaining a notary record from the digital notary service of the time stamping; digitally signing the notary record; and forming an electronically signed electronic transcript by bundling the digitally signed notary record with the electronic transcript file.
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9. A method for electronically signing an electronic transcript, comprising: receiving a signature document having a signature thereon from a user; scanning the signature into a signature image file, wherein the signature image file comprises an image of the signature; receiving an electronic transcript comprising a plurality of pages, at least one of the pages to have a signature therein certifying the accuracy of the transcript; receiving signature location information that indicates a location within the electronic transcript where the image of the signature is to appear when the electronic transcript is displayed on a viewer; incorporating the electronic transcript, the signature image file and the signature location information into an electronic transcript file; performing a first hash operation on the electronic transcript file to generate a representation of the contents of the electronic transcript file; concatenating data that identifies a user to the representation of the contents of the electronic transcript file; and performing a second hash operation on the data and the representation, the second hash operation generating a representation of the contents of the electronic transcript file and the data; providing for the recording and time stamping by a digital notary service of the representation of the contents of the electronic transcript file and the data file; obtaining a notary record from the digital notary service of the time stamping; digitally signing the notary record; and forming an electronically signed electronic transcript by bundling the digitally signed notary record with the electronic transcript file. 11. The method of claim 9 , wherein the data includes a user name uniquely identifying the user.
| 0.50609 |
14. A program product comprising a memory and a set of instructions stored in the memory, the instructions, when carried out by a processor, implement a method for grouping a plurality of instant messaging statements into a plurality of topic groups, the method comprising: the processor creating a plurality of topics, each topic comprising a topic name; the processor assigning a statement classification method to each of the plurality of instant messaging statements; the processor associating each of the instant messaging statements with one of the plurality of topics based on an assigned statement classification method; and the processor grouping together each of the plurality of instant messaging statements having a common associated topic into a corresponding topic group; wherein the topic name of each of the topics is negotiable, thereby allowing any participant to propose a change to the topic name; and wherein the change is subject to an approval by a group leader wherein the statement classification method is by a keyword search.
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14. A program product comprising a memory and a set of instructions stored in the memory, the instructions, when carried out by a processor, implement a method for grouping a plurality of instant messaging statements into a plurality of topic groups, the method comprising: the processor creating a plurality of topics, each topic comprising a topic name; the processor assigning a statement classification method to each of the plurality of instant messaging statements; the processor associating each of the instant messaging statements with one of the plurality of topics based on an assigned statement classification method; and the processor grouping together each of the plurality of instant messaging statements having a common associated topic into a corresponding topic group; wherein the topic name of each of the topics is negotiable, thereby allowing any participant to propose a change to the topic name; and wherein the change is subject to an approval by a group leader wherein the statement classification method is by a keyword search. 16. The program product of claim 14 , wherein the method further comprises: the processor assigning a keyword to one of the plurality of topics; the processor determining whether each of the plurality of instant messaging statements contains the keyword; and the processor, when an instant messaging statement contains the keyword, associating the instant messaging statement with a topic associated with the keyword.
| 0.581607 |
1. A method for natural language processing on a computing device, comprising: receiving a free text document; parsing, on a computing device, the free text document for gross structure, wherein the gross structure comprises sections, paragraphs and sentences; determining, on the computing device, an application of at least one knowledge base; parsing the free text document for fine structure on the computing device, wherein the fine structure comprises sub-sentences; applying, on the computing device, the parsed document and at least one likelihood vector to a Bayesian network, wherein applying the parsed document and the at least one likelihood vector to the Bayesian network comprises: identifying, on the computing device, possible sets of word-level network assignments for lowest-level phrases in a parse tree; identifying, on the computing device, assignments that have multiple different potential assignments; creating, on the computing device, likelihood vectors for all nodes of the Bayesian network, wherein the likelihood vectors cover all potential assignments; instantiating the likelihood vectors on the computing device; identifying, on the computing device, optimal null assignments for unassigned word-level nodes; and selecting, on the computing device, the highest probability state for each node to obtain an interpretation of the free text document; and outputting meanings and probabilities from the computing device.
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1. A method for natural language processing on a computing device, comprising: receiving a free text document; parsing, on a computing device, the free text document for gross structure, wherein the gross structure comprises sections, paragraphs and sentences; determining, on the computing device, an application of at least one knowledge base; parsing the free text document for fine structure on the computing device, wherein the fine structure comprises sub-sentences; applying, on the computing device, the parsed document and at least one likelihood vector to a Bayesian network, wherein applying the parsed document and the at least one likelihood vector to the Bayesian network comprises: identifying, on the computing device, possible sets of word-level network assignments for lowest-level phrases in a parse tree; identifying, on the computing device, assignments that have multiple different potential assignments; creating, on the computing device, likelihood vectors for all nodes of the Bayesian network, wherein the likelihood vectors cover all potential assignments; instantiating the likelihood vectors on the computing device; identifying, on the computing device, optimal null assignments for unassigned word-level nodes; and selecting, on the computing device, the highest probability state for each node to obtain an interpretation of the free text document; and outputting meanings and probabilities from the computing device. 4. The method of claim 1 , further comprising encoding, on the computing device, at least one portion of the free text based on the meanings and probabilities.
| 0.544781 |
1. A computer based method for extracting data values from a conversation to complete an electronic trade ticket over a communications network, comprising the steps of: routing an incoming call from a first user to a second user by a digital switchboard to a processor based server over the communications network; verifying telephone numbers of the first and second users against the stored telephone numbers in a database by a server processor; recording a conversation between the first and second users by a recorder of the server and storing the conversation in the database; obtaining a sample representing a predetermined period of the conversation by a speaker engine of the server to identify and verify the first and second users; transcribing the conversation to an electronic text file by a speech recognition engine of the server and storing the electronic text file in the database; performing natural language processing on the electronic text file by a natural language processing engine of the server to correct typographical, syntax and form errors, and to obtain trade information through relational co-reference and entity tracking; and generating an electronic trade ticket by extracting terms from the electronic text file to populate data fields of the electronic trade ticket by a ticket generator of the server.
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1. A computer based method for extracting data values from a conversation to complete an electronic trade ticket over a communications network, comprising the steps of: routing an incoming call from a first user to a second user by a digital switchboard to a processor based server over the communications network; verifying telephone numbers of the first and second users against the stored telephone numbers in a database by a server processor; recording a conversation between the first and second users by a recorder of the server and storing the conversation in the database; obtaining a sample representing a predetermined period of the conversation by a speaker engine of the server to identify and verify the first and second users; transcribing the conversation to an electronic text file by a speech recognition engine of the server and storing the electronic text file in the database; performing natural language processing on the electronic text file by a natural language processing engine of the server to correct typographical, syntax and form errors, and to obtain trade information through relational co-reference and entity tracking; and generating an electronic trade ticket by extracting terms from the electronic text file to populate data fields of the electronic trade ticket by a ticket generator of the server. 3. The method of claim 1 , wherein the step of performing natural language processing further comprises the step of splitting the electronic text file by tokens representing letters, numbers, punctuations and symbols.
| 0.583383 |
28. A non-transitory recording medium storing a program which allows a computer to function as: speech recognition means which acquires speech data representing a speech and specifies words candidates included in the speech by performing speech recognition on the speech data and calculates a likelihood of each of the specified words candidates; specifying means which specifies words included in the speech based on likelihoods calculated by the speech recognition means and specifies a content of the speech uttered by an utterer based on the specified words a database which stores preceding controls, subsequent controls, and weighting factors, each of which is associated with one another therein; and process execution means which specifies content of a subsequent control to be performed on an external device to be a control target based on a currently executed control, a weighting factor stored in association with the currently executed control, and the content of the uttered speech specified by the specifying means, and performs the subsequent control, wherein the process execution means obtains the weighting factor by calculating a product of transition constants defined on routes from the currently executed control to the subsequent control associated with the currently executed control, writes the obtained weighting factor into the database, and, among the subsequent controls stored in the database associated with the currently executed control, identifies a control in which a product is a largest product of the weighting factor and the calculated likelihood.
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28. A non-transitory recording medium storing a program which allows a computer to function as: speech recognition means which acquires speech data representing a speech and specifies words candidates included in the speech by performing speech recognition on the speech data and calculates a likelihood of each of the specified words candidates; specifying means which specifies words included in the speech based on likelihoods calculated by the speech recognition means and specifies a content of the speech uttered by an utterer based on the specified words a database which stores preceding controls, subsequent controls, and weighting factors, each of which is associated with one another therein; and process execution means which specifies content of a subsequent control to be performed on an external device to be a control target based on a currently executed control, a weighting factor stored in association with the currently executed control, and the content of the uttered speech specified by the specifying means, and performs the subsequent control, wherein the process execution means obtains the weighting factor by calculating a product of transition constants defined on routes from the currently executed control to the subsequent control associated with the currently executed control, writes the obtained weighting factor into the database, and, among the subsequent controls stored in the database associated with the currently executed control, identifies a control in which a product is a largest product of the weighting factor and the calculated likelihood. 35. The non-transitory recording medium according to claim 28 , wherein the process execution means specifies a content of a speech process to be performed based on the specified content of the uttered speech, and performs the specified speech process, or controls an external device in such a way as to cause the external device to perform the specified speech process.
| 0.545942 |
26. The system of claim 25 , wherein the second modification is associated with a graphical element of the document.
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26. The system of claim 25 , wherein the second modification is associated with a graphical element of the document. 27. The system of claim 26 , wherein the instructions further cause: animating the graphical element on the display of the first device.
| 0.966889 |
1. One or more hardware memory devices, not being a signal per se, storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method comprising: receiving an input query expression and a set of one or more physical property requirements, the input query expression being represented as an operator tree comprising a plurality of logical operators; performing logical exploration by applying transformation rules to generate a plurality of logical query expressions with varying logical operators; performing physical optimization for each logical query expression by applying implementation rules to convert logical operators to physical operators wherein physical optimization comprises: for each physical operator considered for each logical operator, determining delivered structural properties output by the physical operator, the delivered structural properties including a partitioning property, a sorting property, and a grouping property, each defining a partition, sort, and group structure, respectively, of output data delivered from the physical operator; for each physical operator considered for each logical operator, determining required structural properties as input for the physical operator, the required structural properties including a partitioning property, a sorting property, and a grouping property, each defining a partition, sort, and group structure, respectively, of input data required for the physical operator; determining whether delivered structural properties satisfy corresponding required structural properties, wherein determining whether delivered structural properties satisfy corresponding required structural properties comprises: (a) determining whether delivered partitioning properties satisfy required partitioning properties; (b) determining whether delivered sorting properties satisfy required sorting properties; and (c) determining whether delivered grouping properties satisfy required grouping properties; identifying valid execution plans in which delivered structural properties satisfy required structural properties; estimating costs associated with each of the valid execution plans; and selecting, from the valid execution plans, an execution plan having a lowest cost as an optimized execution plan.
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1. One or more hardware memory devices, not being a signal per se, storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method comprising: receiving an input query expression and a set of one or more physical property requirements, the input query expression being represented as an operator tree comprising a plurality of logical operators; performing logical exploration by applying transformation rules to generate a plurality of logical query expressions with varying logical operators; performing physical optimization for each logical query expression by applying implementation rules to convert logical operators to physical operators wherein physical optimization comprises: for each physical operator considered for each logical operator, determining delivered structural properties output by the physical operator, the delivered structural properties including a partitioning property, a sorting property, and a grouping property, each defining a partition, sort, and group structure, respectively, of output data delivered from the physical operator; for each physical operator considered for each logical operator, determining required structural properties as input for the physical operator, the required structural properties including a partitioning property, a sorting property, and a grouping property, each defining a partition, sort, and group structure, respectively, of input data required for the physical operator; determining whether delivered structural properties satisfy corresponding required structural properties, wherein determining whether delivered structural properties satisfy corresponding required structural properties comprises: (a) determining whether delivered partitioning properties satisfy required partitioning properties; (b) determining whether delivered sorting properties satisfy required sorting properties; and (c) determining whether delivered grouping properties satisfy required grouping properties; identifying valid execution plans in which delivered structural properties satisfy required structural properties; estimating costs associated with each of the valid execution plans; and selecting, from the valid execution plans, an execution plan having a lowest cost as an optimized execution plan. 2. The one or more hardware memory devices of claim 1 , wherein structural properties are represented by a combination of partitioning information and an ordered sequence of actions, each action either grouping on a set of columns or sorting on a single column.
| 0.506395 |
3. The apparatus of claim 1 wherein said addressing means comprises: (a) a first counting means responsive to said acquisition signal, for producing a first signal representative of a predetermined number of most significant bits of each said storage address; and (b) a second counting means, responsive to the presence of said data words, for producing a second pointer signal representative of a predetermined number of least significant bits of each said storage address.
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3. The apparatus of claim 1 wherein said addressing means comprises: (a) a first counting means responsive to said acquisition signal, for producing a first signal representative of a predetermined number of most significant bits of each said storage address; and (b) a second counting means, responsive to the presence of said data words, for producing a second pointer signal representative of a predetermined number of least significant bits of each said storage address. 4. The apparatus of claim 3 wherein said logic circuitry operates in synchronism with a clock signal and said second counting means is responsive to said clock signal.
| 0.787378 |
17. An apparatus comprising: means for verifying that a subject-owner is authorized to dominate a plurality of reviews of a reviewed subject; means for accepting input from said subject-owner related to one or more functions to be applied to a review-provider server; means for controlling enablement of said one or more functions responsive to input; and means for storing said input.
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17. An apparatus comprising: means for verifying that a subject-owner is authorized to dominate a plurality of reviews of a reviewed subject; means for accepting input from said subject-owner related to one or more functions to be applied to a review-provider server; means for controlling enablement of said one or more functions responsive to input; and means for storing said input. 24. The apparatus as claimed in claim 17 , wherein said plurality of reviews includes a review and wherein said one or more functions enables one or more operations selected from a group consisting of marking said review as an editorial review, marking said review as written by an expert user-author, marking said review as authorized by said subject-owner, marking said review responsive to whether an identity of a user-author of said review has been verified, marking said review as certified by a third-party certification agency, formatting said review, assigning an access right for said review to a requesting user, and enabling said requesting user to supplement said review.
| 0.630755 |
12. The computer program product of claim 8 , wherein performing a type-specific series of rule-based expansions comprises generating number variants based on the extracted quantity.
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12. The computer program product of claim 8 , wherein performing a type-specific series of rule-based expansions comprises generating number variants based on the extracted quantity. 13. The computer program product of claim 12 , wherein generating number variants comprises performing at least one of rounding, varying degree of precision, varying formatting of numbers, or identifying word number variants.
| 0.927472 |
9. A method for managing a brand using social networks, implemented at a server computer that includes at least one processor and program code stored in a memory and a message handling software module acting as a message bus, the server computer being adapted to connect to a data network, the method comprising: instantiating one or more of the following: one or more social network crawler software modules operating on the server computer; an analytics server software module operating on the server computer; a report generator software module operating on the server computer; a behavioral analysis engine software module operating on the server computer; and a recommendation engine operating on the server computer; registering a user with the server; providing at least one data element pertaining to a brand; providing one or more credentials enabling the social network crawler software modules to retrieve data relevant to the brand from one or more social networks using the credentials; upon retrieving content from at least one of the one or more social networks pertaining to the brand, analyzing, by the analytics server software module, the content pertaining to the brand to determine one or more indicia of content value specific to the brand among members of the social networks; obtaining, by the behavioral analysis engine software module, one or more content elements generated by a first member of the social networks; analyzing, by the behavioral analysis engine software module, the first member's social behavior in order to compute an indicia of an audience value of the first member; and generating, by the report generator software module, for the user one or more reports specific to the brand, the reports comprising at least the indicia of content value, the indicia of audience value, and at least one recommendation from the recommendation engine to assist the user in improving perception of or engagement with the brand by the members.
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9. A method for managing a brand using social networks, implemented at a server computer that includes at least one processor and program code stored in a memory and a message handling software module acting as a message bus, the server computer being adapted to connect to a data network, the method comprising: instantiating one or more of the following: one or more social network crawler software modules operating on the server computer; an analytics server software module operating on the server computer; a report generator software module operating on the server computer; a behavioral analysis engine software module operating on the server computer; and a recommendation engine operating on the server computer; registering a user with the server; providing at least one data element pertaining to a brand; providing one or more credentials enabling the social network crawler software modules to retrieve data relevant to the brand from one or more social networks using the credentials; upon retrieving content from at least one of the one or more social networks pertaining to the brand, analyzing, by the analytics server software module, the content pertaining to the brand to determine one or more indicia of content value specific to the brand among members of the social networks; obtaining, by the behavioral analysis engine software module, one or more content elements generated by a first member of the social networks; analyzing, by the behavioral analysis engine software module, the first member's social behavior in order to compute an indicia of an audience value of the first member; and generating, by the report generator software module, for the user one or more reports specific to the brand, the reports comprising at least the indicia of content value, the indicia of audience value, and at least one recommendation from the recommendation engine to assist the user in improving perception of or engagement with the brand by the members. 13. The method of claim 9 , wherein the recommendation generated by the recommendation engine is presented to the user for manual acceptance or disapproval.
| 0.522544 |
1. A computer-implemented method for multi-category apply in a data mining system, the method comprising the steps of: receiving scoring data including a plurality of rows of data representing real-world quantities applied to a data mining model, including ranks, wherein the scoring data is received in a transactional format and is prepared to generate input data tables including active attributes and source attributes; and generating a plurality of categories, each category representing a discrete value or a set of values of a class by generating multi-category apply data, the multi-category apply data generated by: generating input data tables including active attributes and source attributes; evaluating measures including probabilities and ranks of categories of a target attribute to determine those meeting a selection criterion for supervised models; evaluating measures including probabilities, ranks, quality of fit, and distance of predicted values, to determine those meeting the selection criterion, for unsupervised models; and generating an output data table including a plurality of class values of the target attribute meeting the selection criterion and their associated measures including probabilities, ranks, quality of fit and distance based on the received scoring data.
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1. A computer-implemented method for multi-category apply in a data mining system, the method comprising the steps of: receiving scoring data including a plurality of rows of data representing real-world quantities applied to a data mining model, including ranks, wherein the scoring data is received in a transactional format and is prepared to generate input data tables including active attributes and source attributes; and generating a plurality of categories, each category representing a discrete value or a set of values of a class by generating multi-category apply data, the multi-category apply data generated by: generating input data tables including active attributes and source attributes; evaluating measures including probabilities and ranks of categories of a target attribute to determine those meeting a selection criterion for supervised models; evaluating measures including probabilities, ranks, quality of fit, and distance of predicted values, to determine those meeting the selection criterion, for unsupervised models; and generating an output data table including a plurality of class values of the target attribute meeting the selection criterion and their associated measures including probabilities, ranks, quality of fit and distance based on the received scoring data. 2. The method of claim 1 , further comprising the step of: validating the received scoring data to ensure active attributes and a target attribute specified for the data mining model are present in the received scoring data and the source attributes specified for the multi-category apply output are present in the input data.
| 0.625 |
1. An information processing device comprising: a first word acquiring unit that acquires a first word; a relevant word generating unit that generates a plurality of relevant words associated with the first word acquired by the first word acquiring unit and containing a character string of the first word; a search result acquiring unit that acquires a search result using the relevant word generated by the relevant word generating unit as a search keyword; and a search result information generating unit that generates search result information so as to display the search result acquired by the search result acquiring unit on a screen of a displaying unit in accordance with each of the relevant words, wherein the search result acquiring unit acquires a first search result using the first word as a search keyword and a second search result using the relevant word generated by the relevant word generating unit as a search keyword, and the search result information generating unit generates search result information so as to discriminate and display a search result in which the second search result is removed from the first search result, and the second search result in accordance with the relevant word on the screen of the displaying unit.
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1. An information processing device comprising: a first word acquiring unit that acquires a first word; a relevant word generating unit that generates a plurality of relevant words associated with the first word acquired by the first word acquiring unit and containing a character string of the first word; a search result acquiring unit that acquires a search result using the relevant word generated by the relevant word generating unit as a search keyword; and a search result information generating unit that generates search result information so as to display the search result acquired by the search result acquiring unit on a screen of a displaying unit in accordance with each of the relevant words, wherein the search result acquiring unit acquires a first search result using the first word as a search keyword and a second search result using the relevant word generated by the relevant word generating unit as a search keyword, and the search result information generating unit generates search result information so as to discriminate and display a search result in which the second search result is removed from the first search result, and the second search result in accordance with the relevant word on the screen of the displaying unit. 2. The information processing device according to claim 1 , wherein the relevant word generating unit has: a relevant word candidate generating unit that generates candidates of the relevant words from the first word; and a relevant word determining unit that determines the relevant word from the candidates.
| 0.5 |
7. A computer-implemented method for suggesting alternative domain names, the method comprising: receiving a requested domain name; tokenizing, by a processor, the requested domain name to divide the requested domain name into a series of tokens; retrieving, by the processor, token bigrams for tokens of the requested domain name; generating, by the processor, a plurality of alternative domain name suggestions based on the token bigrams and the requested domain name; ranking the plurality of alternative domain name suggestions, wherein the alternative domain name suggestions that include at least one of (1) a backward bigram replacing a token at the beginning of the requested domain name or (2) a forward bigram replacing a token at the end of the requested domain name are ranked higher than other alternative domain name suggestions; and outputting at least one of the at least one alternative domain name suggestion.
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7. A computer-implemented method for suggesting alternative domain names, the method comprising: receiving a requested domain name; tokenizing, by a processor, the requested domain name to divide the requested domain name into a series of tokens; retrieving, by the processor, token bigrams for tokens of the requested domain name; generating, by the processor, a plurality of alternative domain name suggestions based on the token bigrams and the requested domain name; ranking the plurality of alternative domain name suggestions, wherein the alternative domain name suggestions that include at least one of (1) a backward bigram replacing a token at the beginning of the requested domain name or (2) a forward bigram replacing a token at the end of the requested domain name are ranked higher than other alternative domain name suggestions; and outputting at least one of the at least one alternative domain name suggestion. 12. The method according to claim 7 , wherein the token bigrams are retrieved from a bigram database generated by: receiving a plurality of domain names from a domain name database; tokenizing, by the processor, the plurality of domain names; generating, by the processor, a plurality of token bigrams from the tokenized domain names; filtering, by the processor, the plurality of token bigrams by token type, wherein the token type includes at least one of a forward bigram or a backward bigram; ranking, by the processor, the plurality of token bigrams; and storing, in a memory, the filtered and ranked token bigrams in the bigram database.
| 0.502843 |
1. A machine implemented method for synchronizing content in different languages, comprising the steps of: accessing from a web server, via a publicly available network path, content in a first language, including content retrieved by crawling a web site hosted on the web server via following links to additional pages; dividing the content into one or more translatable components; identifying translated components generated previously by translating previous content in the first language to previous content in a second language; determining whether each of the translatable components in the first language has a corresponding one of the translated components associated with the previous content in the second language; translating at least a portion of at least one translatable component in the first language that does not have a corresponding translated component in the second language from the first language to the second language; and generating an updated content in the second language based on the translated at least a portion of the at least one translatable component, wherein the updated content in the second language is synchronized with the accessed content in the first language, and the steps of translating and generating are performed independent of the web server.
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1. A machine implemented method for synchronizing content in different languages, comprising the steps of: accessing from a web server, via a publicly available network path, content in a first language, including content retrieved by crawling a web site hosted on the web server via following links to additional pages; dividing the content into one or more translatable components; identifying translated components generated previously by translating previous content in the first language to previous content in a second language; determining whether each of the translatable components in the first language has a corresponding one of the translated components associated with the previous content in the second language; translating at least a portion of at least one translatable component in the first language that does not have a corresponding translated component in the second language from the first language to the second language; and generating an updated content in the second language based on the translated at least a portion of the at least one translatable component, wherein the updated content in the second language is synchronized with the accessed content in the first language, and the steps of translating and generating are performed independent of the web server. 10. The method according to claim 1 , wherein the step of translating comprises a step of adding the at least a portion of the content to a translation list for translation.
| 0.560356 |
46. The client module of claim 44 , wherein the selector further includes: an analyzer configured for analyzing quality of the search results based on one or more of the query and characteristic information for the selected personalized search engine; and a scoring module configured for scoring the selected personalized search engine based on the quality of the search results.
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46. The client module of claim 44 , wherein the selector further includes: an analyzer configured for analyzing quality of the search results based on one or more of the query and characteristic information for the selected personalized search engine; and a scoring module configured for scoring the selected personalized search engine based on the quality of the search results. 53. The client module of claim 46 , wherein the similarity computation module is further configured for determining a similarity between the query and characteristic information for each personalized search engine based on corresponding scores for each personalized search engine.
| 0.890223 |
8. The method of claim 1 wherein the determined at least one content portion is a dynamically generated content portion that is based at least in part on the request.
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8. The method of claim 1 wherein the determined at least one content portion is a dynamically generated content portion that is based at least in part on the request. 9. The method of claim 8 wherein the dynamically generated content portion is at least one of a weather report, a trail report, road conditions, snow conditions, a city guide, or an entertainment guide.
| 0.947922 |
17. A method of a networked device comprising: applying an automatic content recognition algorithm to determine a content identifier of an audio-visual data; and associating the content identifier with an advertisement data based on a semantic correlation between a meta-data of the advertisement provided by a content provider and the content identifier, wherein a capture infrastructure annotates the audio-visual data with at least one of a brand name and a product name by comparing entries in the master database with at least one of a closed captioning data of the audio-visual data and through an application of an optical character recognition algorithm in the audio-visual data; wherein the content identifier is at least one of a music identification, an object identification, a facial identification, and a voice identification, wherein a minimal functionality comprising accessing at least one of a tuner and a stream decoder that identifies at least one of a channel and a content is found in the networked device, wherein the networked device produces at least one of an audio fingerprint and a video fingerprint that are communicated with the capture infrastructure, wherein the capture infrastructure compares at least one of the audio fingerprint and the video fingerprint with a master database, wherein the capture infrastructure annotates the audio-visual data with a logo name by comparing entries in the master database with a logo data of the audio-visual data identified using a logo detection algorithm, wherein the capture infrastructure automatically divides the audio-visual data into a series of scenes based on a sematic grouping of actions m the audio-visual data, wherein the audio-visual data is analyzed in advance of a broadcast to determine content identifiers associated with each commercial in the audio-visual data such that advertisements are pre-inserted into the audio-visual data prior to broadcast, wherein the capture infrastructure applies a time-order algorithm to automatically match advertisements to the audio-visual data when a correlation pattern is identified by the capture infrastructure with other audio-visual content previously analyzed, wherein the capture infrastructure includes a buffer that is saved to a persistent storage and for which a label is generated to facilitate identification of reoccurring sequences, wherein a post processing operation is at least one of automated through a post-processing algorithm and a crowd-sourced operation using a plurality of users in which a turing test is applied to determine a veracity of an input, wherein a device pairing algorithm is used in which a cookie data associated with a web page visited by the user stored on a browser on a client device is paired with the networked device when the client device is communicatively coupled with the networked device, wherein a transitive public IP matching algorithm is utilized in which at least one of the client device and the networked device communicates each public IP address with any paired entity to the capture infrastructure, and wherein a tag that is unconstrained from a same-origin policy is used to automatically load the advertisement in the browser, wherein the tag is at least one of an image tag, a frame, a iframe, and a script tag.
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17. A method of a networked device comprising: applying an automatic content recognition algorithm to determine a content identifier of an audio-visual data; and associating the content identifier with an advertisement data based on a semantic correlation between a meta-data of the advertisement provided by a content provider and the content identifier, wherein a capture infrastructure annotates the audio-visual data with at least one of a brand name and a product name by comparing entries in the master database with at least one of a closed captioning data of the audio-visual data and through an application of an optical character recognition algorithm in the audio-visual data; wherein the content identifier is at least one of a music identification, an object identification, a facial identification, and a voice identification, wherein a minimal functionality comprising accessing at least one of a tuner and a stream decoder that identifies at least one of a channel and a content is found in the networked device, wherein the networked device produces at least one of an audio fingerprint and a video fingerprint that are communicated with the capture infrastructure, wherein the capture infrastructure compares at least one of the audio fingerprint and the video fingerprint with a master database, wherein the capture infrastructure annotates the audio-visual data with a logo name by comparing entries in the master database with a logo data of the audio-visual data identified using a logo detection algorithm, wherein the capture infrastructure automatically divides the audio-visual data into a series of scenes based on a sematic grouping of actions m the audio-visual data, wherein the audio-visual data is analyzed in advance of a broadcast to determine content identifiers associated with each commercial in the audio-visual data such that advertisements are pre-inserted into the audio-visual data prior to broadcast, wherein the capture infrastructure applies a time-order algorithm to automatically match advertisements to the audio-visual data when a correlation pattern is identified by the capture infrastructure with other audio-visual content previously analyzed, wherein the capture infrastructure includes a buffer that is saved to a persistent storage and for which a label is generated to facilitate identification of reoccurring sequences, wherein a post processing operation is at least one of automated through a post-processing algorithm and a crowd-sourced operation using a plurality of users in which a turing test is applied to determine a veracity of an input, wherein a device pairing algorithm is used in which a cookie data associated with a web page visited by the user stored on a browser on a client device is paired with the networked device when the client device is communicatively coupled with the networked device, wherein a transitive public IP matching algorithm is utilized in which at least one of the client device and the networked device communicates each public IP address with any paired entity to the capture infrastructure, and wherein a tag that is unconstrained from a same-origin policy is used to automatically load the advertisement in the browser, wherein the tag is at least one of an image tag, a frame, a iframe, and a script tag. 18. The method of claim 17 further comprising: accessing a pairing server when processing an identification data associated with a sandbox reachable service of the networked device that shares a public address with a client device, wherein the pairing server performs a discovery lookup of any device that has announced that it shares the public address associated with the client device, and wherein the sandbox reachable service announces itself to the pairing server prior to the establishment of the communication session between the sandboxed application and the sandbox reachable service, appending a header of a hypertext transfer protocol to permit the networked device to communicate with the sandboxed application as a permitted origin domain through a Cross-origin resource sharing (CORS) algorithm, wherein the header is either one of a origin header when the CORS algorithm is applied and a referrer header in an alternate algorithm, and wherein the client device to operate in at least one manner such that the client device: to process an identification data associated with the sandbox reachable service sharing a public address with the client device; to determine a private address pair of the sandbox reachable service based on the identification data; and to establish a communication session between the sandboxed application and the sandbox reachable service using a cross-site scripting technique of a security sandbox.
| 0.540025 |
1. A system comprising: a non-transitory computer-readable medium storing computer-executable code, the computer-executable code comprising: a client interface module for generating an interface for receiving a copybook selection, the client interface module is configured for communication to receive the copybook selection; an import module for importing a copybook from a database, the copybook corresponding with a set of COBOL data stored in the database that includes a REDEFINE clause, the import module is configured for communication to receive the copybook selection from the client interface module and to import the copybook from the database; an object model module for creating an object model for the copybook, the object model module is configured for communication to receive the copybook from the import module and store the object model in a model library; and a modeler module for receiving the set of COBOL data and forming, based at least in part on the received set of COBOL data, an object instance that is equivalent to the set of COBOL data, the object instance including one or more representations for a complete set of one or more properties included in the REDEFINE clause without requiring custom coding for the forming of the object instance, the modeler module is configured for communication to receive the set of COBOL data from the database and to retrieve the object model from the model library, the modeler module including an REDEFINE module for identifying an instance of the REDEFINE clause and automatically forming the REDEFINE clause as the object instance, the REDEFINE module is configured to read the set of COBOL data.
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1. A system comprising: a non-transitory computer-readable medium storing computer-executable code, the computer-executable code comprising: a client interface module for generating an interface for receiving a copybook selection, the client interface module is configured for communication to receive the copybook selection; an import module for importing a copybook from a database, the copybook corresponding with a set of COBOL data stored in the database that includes a REDEFINE clause, the import module is configured for communication to receive the copybook selection from the client interface module and to import the copybook from the database; an object model module for creating an object model for the copybook, the object model module is configured for communication to receive the copybook from the import module and store the object model in a model library; and a modeler module for receiving the set of COBOL data and forming, based at least in part on the received set of COBOL data, an object instance that is equivalent to the set of COBOL data, the object instance including one or more representations for a complete set of one or more properties included in the REDEFINE clause without requiring custom coding for the forming of the object instance, the modeler module is configured for communication to receive the set of COBOL data from the database and to retrieve the object model from the model library, the modeler module including an REDEFINE module for identifying an instance of the REDEFINE clause and automatically forming the REDEFINE clause as the object instance, the REDEFINE module is configured to read the set of COBOL data. 5. The system of claim 1 , wherein a dynamic COBOL construct module identifies a controlling numeric value for a dynamic COBOL construct clause, identifies an instance of the dynamic COBOL construct clause affecting a dynamic COBOL construct subset, recursively rereads the dynamic COBOL construct subset based at least in part on a new definition specified by the customized object model, and automatically forms each reread portion of the dynamic COBOL construct subset as the object instance.
| 0.5 |
12. A computer-implemented system comprising: one or more storage devices and one or more processors configured to effect elements comprising: a database encoding a knowledge structure comprising a graph, wherein the database encodes path information of the graph using at least three tokens for one path in the graph, the at least three tokens indicating nodes of the one path; a database management system configured to access the knowledge structure in the database, the database management system including a text indexing engine; and an interface configured to store and retrieve information in the knowledge structure through the database management system, and the interface configured to trigger the text indexing engine to generate a lexical index of the encoded path information, wherein the lexical index separately lists tokens of paths in the encoded path information, including the at least three tokens indicating the nodes of the one paths; wherein the knowledge structure comprises an adjacency list, wherein the adjacency list and the encoded path information together form a dual representation of the graph.
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12. A computer-implemented system comprising: one or more storage devices and one or more processors configured to effect elements comprising: a database encoding a knowledge structure comprising a graph, wherein the database encodes path information of the graph using at least three tokens for one path in the graph, the at least three tokens indicating nodes of the one path; a database management system configured to access the knowledge structure in the database, the database management system including a text indexing engine; and an interface configured to store and retrieve information in the knowledge structure through the database management system, and the interface configured to trigger the text indexing engine to generate a lexical index of the encoded path information, wherein the lexical index separately lists tokens of paths in the encoded path information, including the at least three tokens indicating the nodes of the one paths; wherein the knowledge structure comprises an adjacency list, wherein the adjacency list and the encoded path information together form a dual representation of the graph. 16. The system of claim 12 , wherein the interface is configured to retrieve inference chains and sub-DAGs using the encoded path information, and the interface is configured to collect statistical information for the graph using the adjacency list.
| 0.509968 |
7. A computer system for customizing language and content of media for an announcement, the computer system comprising: one or more processors, one or more non-transitory computer readable memories, one or more non-transitory computer readable storage media, and program instructions stored on the one or more storage media for execution by the one or more processors via the one or more memories, the program instructions comprising: program instructions to receive information about mobile computing devices within a defined area; program instructions to select an announcement, from a database based on the information that is received, having audio that is in a language determined as being utilized within the defined area, wherein the language is assigned a first highest ranking, and wherein the first highest ranking indicates that the language is spoken by a majority of people within the defined area; program instructions to select a transcription of the audio from the database, wherein the transcription is in a language determined as being utilized within the defined area, and wherein the language is assigned a second highest ranking; and program instructions to instruct a television, of an announcement system, within the defined area to output the audio, and to output the transcription of the audio on a display screen of the television.
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7. A computer system for customizing language and content of media for an announcement, the computer system comprising: one or more processors, one or more non-transitory computer readable memories, one or more non-transitory computer readable storage media, and program instructions stored on the one or more storage media for execution by the one or more processors via the one or more memories, the program instructions comprising: program instructions to receive information about mobile computing devices within a defined area; program instructions to select an announcement, from a database based on the information that is received, having audio that is in a language determined as being utilized within the defined area, wherein the language is assigned a first highest ranking, and wherein the first highest ranking indicates that the language is spoken by a majority of people within the defined area; program instructions to select a transcription of the audio from the database, wherein the transcription is in a language determined as being utilized within the defined area, and wherein the language is assigned a second highest ranking; and program instructions to instruct a television, of an announcement system, within the defined area to output the audio, and to output the transcription of the audio on a display screen of the television. 8. The computer system of claim 7 , wherein the information about the mobile computing devices within the defined area comprises: a number of the mobile computing devices within the defined area, a default language parameter of each of the mobile computing devices within the defined area, one or more first Boolean parameter values that indicates if an end-user of one of the mobile computing devices that are within the defined area has a hearing impairment, and one or more second Boolean parameter values that indicates if an end-user of one of the mobile computing devices that are within the defined area has a visual impairment.
| 0.5 |
15. The method of claim 1 , wherein the contextual speller model comprises a plurality of speller sub-models.
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15. The method of claim 1 , wherein the contextual speller model comprises a plurality of speller sub-models. 18. The method of claim 15 , wherein the plurality of speller sub-models are based at least on one or more levels of aggregation, and wherein each level of aggregation differentiates the first user from global users of the online social network.
| 0.947881 |
1. A method for searching Web pages comprising: identifying query criteria entered into a search provider; determining a plurality of Web pages that satisfy the query criteria; ascertaining a page ranking for each of the plurality of Web pages, wherein each page ranking is based upon at least one relevancy factor; and presenting ordered results for the query criteria, which are ordered by the ascertained page rankings, wherein the at least one relevancy factor includes a browsing-time factor, wherein the browsing-time factor is based in part upon a time spent at a browsed Web page, and wherein the browsing-time factor is adjusted responsive to an adjustment event, wherein the adjustment event indicates a level of user interest in the browsed Web page based on previous browsing of the web page, wherein the level of user interest is determined without regard to time spent at the browsed Web page, wherein the browsing-time factor is adjusted by detecting a positive adjustment event relating to the browsed Web page, and favorably adjusting the browsing-time factor responsive to the positive adjustment event, wherein the positive adjustment event indicates a user interest in the browsed Web page.
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1. A method for searching Web pages comprising: identifying query criteria entered into a search provider; determining a plurality of Web pages that satisfy the query criteria; ascertaining a page ranking for each of the plurality of Web pages, wherein each page ranking is based upon at least one relevancy factor; and presenting ordered results for the query criteria, which are ordered by the ascertained page rankings, wherein the at least one relevancy factor includes a browsing-time factor, wherein the browsing-time factor is based in part upon a time spent at a browsed Web page, and wherein the browsing-time factor is adjusted responsive to an adjustment event, wherein the adjustment event indicates a level of user interest in the browsed Web page based on previous browsing of the web page, wherein the level of user interest is determined without regard to time spent at the browsed Web page, wherein the browsing-time factor is adjusted by detecting a positive adjustment event relating to the browsed Web page, and favorably adjusting the browsing-time factor responsive to the positive adjustment event, wherein the positive adjustment event indicates a user interest in the browsed Web page. 7. The method of claim 1 , wherein said steps of claim 1 are steps performed by at least one of a service agent and a computing device manipulated by the service agent, the steps being performed in response to a service request.
| 0.645906 |
20. A computing apparatus programmed to perform a method for use in a computing programming environment, the method comprising: a computing device; a bus system; a storage communicating with the computing device over the bus system; an application residing in the storage that, when invoked, is capable of: receiving a plurality of user inputs, each user input specifying an action in a workflow; automatically identifying a data type incompatibility between an output of a first one of the specified actions and an input of a second one of the specified actions; and automatically generating a background script, to run in the background, wherein the background script is adapted to execute the actions in the workflow responsive to the user inputs, the background script adapted to automatically convert data of at least one of the incompatible data types to a compatible data type, wherein automatically converting the data comprises converting data based at least upon a relevance hierarchy of compatible data types.
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20. A computing apparatus programmed to perform a method for use in a computing programming environment, the method comprising: a computing device; a bus system; a storage communicating with the computing device over the bus system; an application residing in the storage that, when invoked, is capable of: receiving a plurality of user inputs, each user input specifying an action in a workflow; automatically identifying a data type incompatibility between an output of a first one of the specified actions and an input of a second one of the specified actions; and automatically generating a background script, to run in the background, wherein the background script is adapted to execute the actions in the workflow responsive to the user inputs, the background script adapted to automatically convert data of at least one of the incompatible data types to a compatible data type, wherein automatically converting the data comprises converting data based at least upon a relevance hierarchy of compatible data types. 52. The computing apparatus of claim 20 , wherein the application is further capable of receiving a plurality of user inputs defining the workflow, including: determining a context and a data requirement for a potential user input, the potential user input including selecting a graphical element specifying an action in a workflow, from a preceding one of the user inputs; filtering candidates for the potential user input for relevance in light of the context and the data requirement; and presenting the filtered candidates to the user ordered by their relevance.
| 0.5 |
7. A method for user-extensible rule-based source code modification, the method comprising: loading, in a rule definition interface, multiple different end-user established source code modification rules for modifying source code to run on a source platform to be ported to a target platform so that the software application can run on the target platform, wherein the rule definition interface provides different templates to match different language constructs for different languages supported for the source code, the rules identifying a relative location of each of the different lines of source code to be modified based upon a position of each of the different lines relative to other lines of source code; loading a source code file of source code into a memory of a computer; parsing, by a processor, source code of the source code file into different sets of tokens; matching, by the processor, the rules to the different sets of tokens based upon the relative location of the rules; generating, by the processor, suggested modifications to the source code according to selected matched ones of the rules; and, providing a user interface for end users to specify the relative location as one of a line before, a same line, and a same file and to select modifications from the suggested modifications and apply the selected modifications to the source code.
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7. A method for user-extensible rule-based source code modification, the method comprising: loading, in a rule definition interface, multiple different end-user established source code modification rules for modifying source code to run on a source platform to be ported to a target platform so that the software application can run on the target platform, wherein the rule definition interface provides different templates to match different language constructs for different languages supported for the source code, the rules identifying a relative location of each of the different lines of source code to be modified based upon a position of each of the different lines relative to other lines of source code; loading a source code file of source code into a memory of a computer; parsing, by a processor, source code of the source code file into different sets of tokens; matching, by the processor, the rules to the different sets of tokens based upon the relative location of the rules; generating, by the processor, suggested modifications to the source code according to selected matched ones of the rules; and, providing a user interface for end users to specify the relative location as one of a line before, a same line, and a same file and to select modifications from the suggested modifications and apply the selected modifications to the source code. 12. The method of claim 7 , further comprising providing a compare view of the source code and a modified form of the source code.
| 0.87478 |
15. A system supporting speech recognition comprising: two or more clients, each client comprising the capability to receive audio speech from a user, store the audio speech in one or more buffers, each buffer comprising a portion of the received audio speech, encode a buffer of the received audio speech before all of the audio speech is received, package the encoded buffer to receive audio speech into one or more packets to be transmitted over the Internet before all of the audio speech is received, and transmit a packet of encoded audio speech over the Internet before all of the audio speech is received; and a server, the server comprising the capability to receive packets of encoded audio speech from at least two clients, decode each of the packets of audio speech and store the resultant raw speech into one or more buffers for the respective client, and evaluate the resultant raw speech received from each of the at least two clients, wherein the server further comprises two or more stored text format files, and the server selects a stored text format file to transmit to a client of the two or more clients as a result of the server's evaluation of the resultant raw speech received from the client, the server further comprises the capability to partition a stored text format file into two or more packets for the transmission over the Internet, and to transmit each packet over the Internet to a client, a client further comprises an audio output device, and the capability to receive the packets of text format, convert the packets of text format to audio data and play the audio data to a user, and a processing time used to evaluate the resultant raw speech will vary based on a value communicated to the server from a client.
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15. A system supporting speech recognition comprising: two or more clients, each client comprising the capability to receive audio speech from a user, store the audio speech in one or more buffers, each buffer comprising a portion of the received audio speech, encode a buffer of the received audio speech before all of the audio speech is received, package the encoded buffer to receive audio speech into one or more packets to be transmitted over the Internet before all of the audio speech is received, and transmit a packet of encoded audio speech over the Internet before all of the audio speech is received; and a server, the server comprising the capability to receive packets of encoded audio speech from at least two clients, decode each of the packets of audio speech and store the resultant raw speech into one or more buffers for the respective client, and evaluate the resultant raw speech received from each of the at least two clients, wherein the server further comprises two or more stored text format files, and the server selects a stored text format file to transmit to a client of the two or more clients as a result of the server's evaluation of the resultant raw speech received from the client, the server further comprises the capability to partition a stored text format file into two or more packets for the transmission over the Internet, and to transmit each packet over the Internet to a client, a client further comprises an audio output device, and the capability to receive the packets of text format, convert the packets of text format to audio data and play the audio data to a user, and a processing time used to evaluate the resultant raw speech will vary based on a value communicated to the server from a client. 19. The system of claim 15 wherein before the client receives audio speech from a user, the server transmits a file to a client, the client presents the file in at least one of an audio or visual format to the user.
| 0.666339 |
4. A handheld electronic device comprising: a processor unit including a processor, an input apparatus, an output apparatus, and a memory having a plurality of objects and a routine stored therein; the plurality of objects including a plurality of language objects and a plurality of frequency objects, each of at least a portion of the language objects of the plurality of language objects being associated with an associated frequency object of the plurality of frequency objects; the input apparatus including a plurality of input members, each of at least a portion of the input members of the plurality of input members having a plurality of linguistic elements assigned thereto; the processor being adapted to detect a text input including a plurality of input member actuations of a number of the input members, at least one of the input member actuations being an ambiguous input; the processor being adapted to generate a number of prefix objects corresponding with the text input, each prefix object of the number of prefix objects including a linguistic element for each ambiguous input; for each prefix object of at least a portion of the number of prefix objects, the processor being adapted to seek a corresponding language object of the plurality of language objects that corresponds with the prefix object; the processor being adapted to generate a result by, for each prefix object of at least a portion of the number of prefix objects, identifying a language object of the plurality of language objects, the identified language object corresponding with the prefix object, obtaining an associated frequency object of the plurality of frequency objects, the associated frequency object being associated with the identified language object and having a frequency value, and associating the frequency value of the associated frequency object with the prefix object; for at least a portion of the prefix objects and the corresponding frequency values of the result, the processor being adapted to generate an output set of the at least a portion of the prefix objects sorted according to the frequency values associated therewith; the processor being adapted to output an output including the prefix objects of at least a portion of the output set organized in descending order of frequency value, a prefix object of the at least a portion of the output set being a default prefix object having an initial portion and a terminal portion adjacent one another, the initial portion including a number of initial linguistic elements at an initial end of the default prefix, the terminal portion including a number of terminal linguistic elements at a terminal end of the default prefix; the processor being adapted to detect a deletion input with respect to a terminal linguistic element of the number of terminal linguistic elements; the processor being adapted to detect an actuation of another input member having a plurality of linguistic elements assigned thereto; the processor being adapted to determine that the another input member is the same input member as that which provided the terminal linguistic element of the number of terminal linguistic elements that was adjacent the initial portion before deletion and that the actuation of the another input member successively followed the deletion input; responsive to the detection of the deletion input and the determination that the another input member is the same input member, the processor being adapted to output as a replacement default prefix the initial portion and a replacement terminal portion, the replacement terminal portion including a replacement terminal linguistic element adjacent the initial portion, the replacement terminal linguistic element being a linguistic element of the plurality of linguistic elements assigned to the another input member other than the linguistic element of said plurality of linguistic elements that was the terminal linguistic element adjacent the initial portion before deletion.
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4. A handheld electronic device comprising: a processor unit including a processor, an input apparatus, an output apparatus, and a memory having a plurality of objects and a routine stored therein; the plurality of objects including a plurality of language objects and a plurality of frequency objects, each of at least a portion of the language objects of the plurality of language objects being associated with an associated frequency object of the plurality of frequency objects; the input apparatus including a plurality of input members, each of at least a portion of the input members of the plurality of input members having a plurality of linguistic elements assigned thereto; the processor being adapted to detect a text input including a plurality of input member actuations of a number of the input members, at least one of the input member actuations being an ambiguous input; the processor being adapted to generate a number of prefix objects corresponding with the text input, each prefix object of the number of prefix objects including a linguistic element for each ambiguous input; for each prefix object of at least a portion of the number of prefix objects, the processor being adapted to seek a corresponding language object of the plurality of language objects that corresponds with the prefix object; the processor being adapted to generate a result by, for each prefix object of at least a portion of the number of prefix objects, identifying a language object of the plurality of language objects, the identified language object corresponding with the prefix object, obtaining an associated frequency object of the plurality of frequency objects, the associated frequency object being associated with the identified language object and having a frequency value, and associating the frequency value of the associated frequency object with the prefix object; for at least a portion of the prefix objects and the corresponding frequency values of the result, the processor being adapted to generate an output set of the at least a portion of the prefix objects sorted according to the frequency values associated therewith; the processor being adapted to output an output including the prefix objects of at least a portion of the output set organized in descending order of frequency value, a prefix object of the at least a portion of the output set being a default prefix object having an initial portion and a terminal portion adjacent one another, the initial portion including a number of initial linguistic elements at an initial end of the default prefix, the terminal portion including a number of terminal linguistic elements at a terminal end of the default prefix; the processor being adapted to detect a deletion input with respect to a terminal linguistic element of the number of terminal linguistic elements; the processor being adapted to detect an actuation of another input member having a plurality of linguistic elements assigned thereto; the processor being adapted to determine that the another input member is the same input member as that which provided the terminal linguistic element of the number of terminal linguistic elements that was adjacent the initial portion before deletion and that the actuation of the another input member successively followed the deletion input; responsive to the detection of the deletion input and the determination that the another input member is the same input member, the processor being adapted to output as a replacement default prefix the initial portion and a replacement terminal portion, the replacement terminal portion including a replacement terminal linguistic element adjacent the initial portion, the replacement terminal linguistic element being a linguistic element of the plurality of linguistic elements assigned to the another input member other than the linguistic element of said plurality of linguistic elements that was the terminal linguistic element adjacent the initial portion before deletion. 10. The handheld electronic device of claim 4 wherein the language objects include a plurality of word objects and a plurality of n-gram objects and the processor being adapted to generate a result, for the at least a portion of the prefix objects first attempts to identify a word object corresponding with the prefix object and if the word object corresponding with the prefix object cannot be so identified the generating a result step identifies at least one n-gram object corresponding with the prefix object.
| 0.642064 |
1. A system comprising: a speaker to output audio information; an interviewee interface to communicate with an interviewee display device; a processor and a memory accessible to the processor, the memory comprising instructions executable by the processor to: determine an interviewee language from a plurality of languages through interviewee input into an interviewee system; store collected data and data related to the determined interviewee language; receive interviewee information associated with a topic selection from an interviewer system in response to a prompt conveyed to the interviewee system from the interviewer system wherein the interviewer system comprises an interviewer interface to communicate with an interviewer display device wherein the interviewee information includes a first interviewee information item and a second interviewee information item; provide the first interviewee information item to the speaker for acoustic output in the interviewee language, and provide the second interviewee information item to the interviewee interface to communicate with the interviewee display device; a first logic system responsive to the interviewee language and configured to automatically prompt the interviewee with questions having possible answers that are culturally associated with the interviewee language and wherein the logic is responsive to answers to said questions for prompting the interviewee with additional questions; and wherein the interviewee and interviewer language is not the same and the interviewee interface to communicate with the interviewee display device displays input received from the interviewer interface to communicate with the interviewer display device; and the interviewee interface receives input from the interviewee.
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1. A system comprising: a speaker to output audio information; an interviewee interface to communicate with an interviewee display device; a processor and a memory accessible to the processor, the memory comprising instructions executable by the processor to: determine an interviewee language from a plurality of languages through interviewee input into an interviewee system; store collected data and data related to the determined interviewee language; receive interviewee information associated with a topic selection from an interviewer system in response to a prompt conveyed to the interviewee system from the interviewer system wherein the interviewer system comprises an interviewer interface to communicate with an interviewer display device wherein the interviewee information includes a first interviewee information item and a second interviewee information item; provide the first interviewee information item to the speaker for acoustic output in the interviewee language, and provide the second interviewee information item to the interviewee interface to communicate with the interviewee display device; a first logic system responsive to the interviewee language and configured to automatically prompt the interviewee with questions having possible answers that are culturally associated with the interviewee language and wherein the logic is responsive to answers to said questions for prompting the interviewee with additional questions; and wherein the interviewee and interviewer language is not the same and the interviewee interface to communicate with the interviewee display device displays input received from the interviewer interface to communicate with the interviewer display device; and the interviewee interface receives input from the interviewee. 13. The system of claim 1 , wherein the interviewee system and the interviewer system are in different housing.
| 0.550662 |
4. The recommender system according to claim 1 , wherein the at least one attribute associated with respective predecessor students of the plurality of predecessor students further includes assessment data indicating a level of performance in association with the at least one educational resource used by the predecessor student, and the predecessor students involved in the mapping have assessment data indicating a level of performance that exceeds a pre-selected threshold.
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4. The recommender system according to claim 1 , wherein the at least one attribute associated with respective predecessor students of the plurality of predecessor students further includes assessment data indicating a level of performance in association with the at least one educational resource used by the predecessor student, and the predecessor students involved in the mapping have assessment data indicating a level of performance that exceeds a pre-selected threshold. 6. The recommender system according to claim 4 , wherein the processor further executes programmable instructions for ranking the at least one educational resource recommended for each current student based on the level of performance associated with the educational resource for each predecessor student that the educational resource is associated with.
| 0.907868 |
33. An apparatus comprising: one or more non-transitory computer-readable storage devices comprising processor- executable instructions, the processor-executable instructions capable of causing one or more processors of a server computer system to perform the following method steps: establishing an account for each of a plurality of users, wherein each account is associated with storage space to store one or more documents; storing a first document in the server computer system in a first account, the first document capable of being modified by a plurality of authorized users; enabling access to the first document via a browser-controlled window executing on a client computer by one or more authorized users; associating a set of restrictions with the first document, the restrictions including an ability to modify the first document in one or more permitted ways by one of a first group of users, the first group of users being users whose identities are known to the server computer system; receiving a request to access the first document from a first user, wherein the first user is a member of the first group of users, wherein the request to access accompanies the first user's identification information and authorization information; verifying the identity of the first user; if the first user is authorized to access the first document, then permitting the first user to access the first document via a first browser-controlled window executing on a client computer; and if the first user is authorized to modify the first document, then: (a) applying one or more modifications to the first document, the one or more modifications having been received from the first user; (b) electronically notifying one or more of a second group of users that the first user modified the first document, the second group of users being users whose identities are known to the server computer system; and (c) enabling a second user to further modify the first document, wherein the second user is a member of the second group of users who are notified of the one or more modifications made by the first user to the first document, and wherein the second user is not the same as the first user.
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33. An apparatus comprising: one or more non-transitory computer-readable storage devices comprising processor- executable instructions, the processor-executable instructions capable of causing one or more processors of a server computer system to perform the following method steps: establishing an account for each of a plurality of users, wherein each account is associated with storage space to store one or more documents; storing a first document in the server computer system in a first account, the first document capable of being modified by a plurality of authorized users; enabling access to the first document via a browser-controlled window executing on a client computer by one or more authorized users; associating a set of restrictions with the first document, the restrictions including an ability to modify the first document in one or more permitted ways by one of a first group of users, the first group of users being users whose identities are known to the server computer system; receiving a request to access the first document from a first user, wherein the first user is a member of the first group of users, wherein the request to access accompanies the first user's identification information and authorization information; verifying the identity of the first user; if the first user is authorized to access the first document, then permitting the first user to access the first document via a first browser-controlled window executing on a client computer; and if the first user is authorized to modify the first document, then: (a) applying one or more modifications to the first document, the one or more modifications having been received from the first user; (b) electronically notifying one or more of a second group of users that the first user modified the first document, the second group of users being users whose identities are known to the server computer system; and (c) enabling a second user to further modify the first document, wherein the second user is a member of the second group of users who are notified of the one or more modifications made by the first user to the first document, and wherein the second user is not the same as the first user. 36. The apparatus of claim 33 , wherein the processor executable instructions include instructions to cause the server computer system to check for viruses in the one or more modifications made to the first document.
| 0.654203 |
3. The method of claim 1 , wherein inviting the user to participate in the exchange of the search related communications comprises: initiating one or more communication links for an exchange of search related communications between respective sources of the identified candidate search queries.
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3. The method of claim 1 , wherein inviting the user to participate in the exchange of the search related communications comprises: initiating one or more communication links for an exchange of search related communications between respective sources of the identified candidate search queries. 4. The method of claim 3 , wherein the initiating one or more communication links for the exchange of the search related communications between the respective sources of the identified candidate search queries comprises initiating one or more communication links for the exchange of search related communications between the respective sources of identified candidate search queries via a discussion group.
| 0.852322 |
1. A method of generating an application accessible by a user in accordance with a dialog system, the dialog system comprising one or more processors, the method comprising the steps of: declaratively representing by the one or more processors of the dialog system interactions that the user may have with the dialog system as a data model and one or more user interaction elements that populate an application state of the data model and that are bound thereto, the application comprising the data model and the one or more user interaction elements wherein the one or more user interaction elements comprise one or more elementary programming components that characterize a dialog, independent of modalities, devices, and browsers employable to access information associated with the application programmed in accordance therewith; wherein an intention of the user is determinable from an interpretation of the one or more user interaction elements and an extraction of a semantic meaning from a user input such that a dialog that the user has with the dialog system may be a mixed-initiative dialog whereby navigation through the application is performable in a non-sequential manner and at least partially user-driven; wherein at least a portion of the one or more user interaction elements can be transformed or associated to one or more modality-specific renderings of the application which are presentable to the user and are one of selected and generated by a dialog manager algorithm; and wherein the representation comprises attaching appropriate event handlers to each of a plurality of defined events comprising a parser event, a canonicalization event, a canonicalization response event, a backend submit event, a backend submit response event, a focus event, and a slot mutation event; wherein populating the application state of the data model comprises the steps of: scoring each of the one or more user interaction elements against one or more slots of each of a plurality of forms in accordance with a scoring algorithm; selecting at least one of the plurality of forms to represent the application state based at least in part on the scoring; and populating the one or more slots of the selected form by the one or more user interaction elements in accordance with the user's interaction with the dialog system; wherein the selected form specifies the scoring algorithm to be used for at least one subsequent scoring.
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1. A method of generating an application accessible by a user in accordance with a dialog system, the dialog system comprising one or more processors, the method comprising the steps of: declaratively representing by the one or more processors of the dialog system interactions that the user may have with the dialog system as a data model and one or more user interaction elements that populate an application state of the data model and that are bound thereto, the application comprising the data model and the one or more user interaction elements wherein the one or more user interaction elements comprise one or more elementary programming components that characterize a dialog, independent of modalities, devices, and browsers employable to access information associated with the application programmed in accordance therewith; wherein an intention of the user is determinable from an interpretation of the one or more user interaction elements and an extraction of a semantic meaning from a user input such that a dialog that the user has with the dialog system may be a mixed-initiative dialog whereby navigation through the application is performable in a non-sequential manner and at least partially user-driven; wherein at least a portion of the one or more user interaction elements can be transformed or associated to one or more modality-specific renderings of the application which are presentable to the user and are one of selected and generated by a dialog manager algorithm; and wherein the representation comprises attaching appropriate event handlers to each of a plurality of defined events comprising a parser event, a canonicalization event, a canonicalization response event, a backend submit event, a backend submit response event, a focus event, and a slot mutation event; wherein populating the application state of the data model comprises the steps of: scoring each of the one or more user interaction elements against one or more slots of each of a plurality of forms in accordance with a scoring algorithm; selecting at least one of the plurality of forms to represent the application state based at least in part on the scoring; and populating the one or more slots of the selected form by the one or more user interaction elements in accordance with the user's interaction with the dialog system; wherein the selected form specifies the scoring algorithm to be used for at least one subsequent scoring. 30. The method of claim 1 , wherein the defined events comprise an update event and submission of context.
| 0.541573 |
2. The server according to claim 1 , wherein said computer program code further comprises facility storage code; wherein said at least one processor is further operable to execute the facility storage code to store facility information related to facilities in a facility storage, the facility information comprising a facility ID identifying a facility and information indicating a geographic range of the facility, and the predetermined geographic range corresponds to a geographic range indicated by one facility information, and the common identifier comprises a facility ID of the one facility information.
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2. The server according to claim 1 , wherein said computer program code further comprises facility storage code; wherein said at least one processor is further operable to execute the facility storage code to store facility information related to facilities in a facility storage, the facility information comprising a facility ID identifying a facility and information indicating a geographic range of the facility, and the predetermined geographic range corresponds to a geographic range indicated by one facility information, and the common identifier comprises a facility ID of the one facility information. 5. The server according to claim 2 , wherein said computer program code further comprises receiving code, search code, and transmitting code; said at least one processor is further operable to execute said: receiving code to receive a request signal containing a specified category name input by a user from a terminal of the user; search code to read facility information corresponding to the request signal received by according to the receiving code from the facility storage; and transmitting code to transmit the read facility information to the terminal, the word indicated by the input information comprises a category name given to a facility located in a specific position, and said at least one processor is further operable to execute the search code to read facility information including a facility ID associated with the specified category name from the facility storage by referring to the result storage and the facility storage.
| 0.73074 |
8. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a data processing system, causes the data processing system to: receive a set of evidential data specifying a plurality of information concept entities; analyze an ontological data structure associated with the set of evidential data to identify potential ontological relationships between information concept entities in the plurality of information concept entities; automatically generate a hypothetical link between at least two information concept entities in the plurality of information concept entities based on results of the analysis, wherein the hypothetical link represents a scenario involving the at least two information concept entities; retrieve a set of questions corresponding to the hypothetical link between the at least two information concept entities; prune the set of questions into a subset of questions based on at least one of characteristics of the hypothetical link or characteristics of the at least two information concept entities; process the pruned set of questions based on a corpus of evidence to thereby generate a measure of support for or against the hypothetical link being an actual link between the at least two information concept entities; and output an validity indication for the hypothetical link indicating whether or not the hypothetical link is an actual link between the at least two information concept entities.
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8. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a data processing system, causes the data processing system to: receive a set of evidential data specifying a plurality of information concept entities; analyze an ontological data structure associated with the set of evidential data to identify potential ontological relationships between information concept entities in the plurality of information concept entities; automatically generate a hypothetical link between at least two information concept entities in the plurality of information concept entities based on results of the analysis, wherein the hypothetical link represents a scenario involving the at least two information concept entities; retrieve a set of questions corresponding to the hypothetical link between the at least two information concept entities; prune the set of questions into a subset of questions based on at least one of characteristics of the hypothetical link or characteristics of the at least two information concept entities; process the pruned set of questions based on a corpus of evidence to thereby generate a measure of support for or against the hypothetical link being an actual link between the at least two information concept entities; and output an validity indication for the hypothetical link indicating whether or not the hypothetical link is an actual link between the at least two information concept entities. 10. The computer program product of claim 8 , wherein the set of questions is generated by performing a lookup in a question template database of types of the information concept entities and a type of a relationship specified by the hypothetical link to identify a set of question templates corresponding to the types of information concept entities and type of relationship.
| 0.53222 |
18. A computer program product comprising a computer usable memory having readable program code embodied in the memory, the computer program product includes at least one component configured to: define one or more normalized labels; and associate the one or more normalized labels to data across an enterprise system, wherein the association of the one or more normalized labels to the data comprises: a lexical name matching process comprising: analyzing metadata for each respective said data to determine a name associated with each respective said data; comparing the name to the one or more normalized labels; when the name matches the one or more normalized labels, adding the matched one or more normalized labels to a list of suggested one or more normalized labels; when the name does not match the one or more normalized labels, comparing the name to a list of synonyms for the one or more normalized labels; and when the name matches a synonym for the one or more normalized labels, adding the corresponding one or more normalized labels to the list of suggested one or more normalized labels; analyzing data movement operations of the data to determine if data in one or more locations is the same, wherein if the data is the same, only in different locations, then associating a same normalized label to all instances of the data; analyzing whether data without a normalized label contains a same type of content as other data with a normalized label, wherein if the content is the same then the normalized label is associated to the data originally without the normalized label; and analyzing access logs to determine data that a certain group of users is accessing, and associating a same normalized label to instances of the data that the certain group of users is determined to be accessing.
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18. A computer program product comprising a computer usable memory having readable program code embodied in the memory, the computer program product includes at least one component configured to: define one or more normalized labels; and associate the one or more normalized labels to data across an enterprise system, wherein the association of the one or more normalized labels to the data comprises: a lexical name matching process comprising: analyzing metadata for each respective said data to determine a name associated with each respective said data; comparing the name to the one or more normalized labels; when the name matches the one or more normalized labels, adding the matched one or more normalized labels to a list of suggested one or more normalized labels; when the name does not match the one or more normalized labels, comparing the name to a list of synonyms for the one or more normalized labels; and when the name matches a synonym for the one or more normalized labels, adding the corresponding one or more normalized labels to the list of suggested one or more normalized labels; analyzing data movement operations of the data to determine if data in one or more locations is the same, wherein if the data is the same, only in different locations, then associating a same normalized label to all instances of the data; analyzing whether data without a normalized label contains a same type of content as other data with a normalized label, wherein if the content is the same then the normalized label is associated to the data originally without the normalized label; and analyzing access logs to determine data that a certain group of users is accessing, and associating a same normalized label to instances of the data that the certain group of users is determined to be accessing. 21. The computer program product of claim 18 , wherein: the data is data assets; the one or more normalized labels are business terms organized in a controlled vocabulary and organized into one or more hierarchies, wherein the one or more hierarchies of the business terms is a taxonomy that reflects one dimension that is relevant to a business; the at least one component is further configured to: extract the metadata for the data assets of the business without the one or more normalized labels, wherein the metadata includes a relational schema that defines each respective said data asset; store and organize the extracted metadata according to the relational schema; and associate the one or more normalized labels to the data assets by performing algorithmically-controlled mappings of the relational schema and labeling each respective said data asset with the one or more normalized labels; and the association of the one or more normalized labels to the data comprises algorithmically-controlled mappings of the one or more normalized labels to the data assets comprising: the lexical name matching process; a lineage analysis process comprising: the analyzing data movement operations of the data; a content analysis process comprising: the analyzing whether the data without the normalized label contains the same type of content as the other data with the normalized label; and a data access mining process comprising: the analyzing the access logs to determine the data that the certain group of users is accessing.
| 0.5 |
1. In a computing environment comprising a messaging system and one or more data sources, an apparatus for associating messages with data comprising: an association manager capable of interfacing with an electronic mail messaging system and one or more data sources, said association manager configured to obtain an electronic mail message and to create an association between one or more elements of said electronic mail message with one or more elements of data from said data sources, said association manager further configured to analyze said electronic message to determine one or more external data sources from which said one or more elements of data are to be retrieved, wherein said one or more elements of data comprise workflow data associated with an order in which activities associated with a given task are completed, and wherein said association manager is configured to facilitate workflow management by providing a context for said one or more elements of said electronic mail message and said one or more elements of data; and a user interface enabling a user to create one or more sensory cues indicative of said association of one or more elements of said electronic mail message with said one or more elements of data from said data sources.
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1. In a computing environment comprising a messaging system and one or more data sources, an apparatus for associating messages with data comprising: an association manager capable of interfacing with an electronic mail messaging system and one or more data sources, said association manager configured to obtain an electronic mail message and to create an association between one or more elements of said electronic mail message with one or more elements of data from said data sources, said association manager further configured to analyze said electronic message to determine one or more external data sources from which said one or more elements of data are to be retrieved, wherein said one or more elements of data comprise workflow data associated with an order in which activities associated with a given task are completed, and wherein said association manager is configured to facilitate workflow management by providing a context for said one or more elements of said electronic mail message and said one or more elements of data; and a user interface enabling a user to create one or more sensory cues indicative of said association of one or more elements of said electronic mail message with said one or more elements of data from said data sources. 3. The apparatus of claim 1 , wherein said one or more data sources comprise a data store.
| 0.6085 |
1. A spinal fixation system, comprising: a bone anchor having a bone-engaging portion and a spinal fixation element receiving portion with opposed arms configured to receive a spinal fixation element therebetween; a connecting member having first and second ends with a spanning portion extending therebetween, the first end having an elongate opening extending therethrough; and a locking member configured to engage opposed inner walls of the opposed arms of the spinal fixation element receiving portion, the locking member being configured to maintain a location of a spinal fixation element with respect to the spinal fixation element receiving portion in which the spinal fixation element is disposed, and further configured to maintain a location of the connecting member with respect to the bone anchor.
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1. A spinal fixation system, comprising: a bone anchor having a bone-engaging portion and a spinal fixation element receiving portion with opposed arms configured to receive a spinal fixation element therebetween; a connecting member having first and second ends with a spanning portion extending therebetween, the first end having an elongate opening extending therethrough; and a locking member configured to engage opposed inner walls of the opposed arms of the spinal fixation element receiving portion, the locking member being configured to maintain a location of a spinal fixation element with respect to the spinal fixation element receiving portion in which the spinal fixation element is disposed, and further configured to maintain a location of the connecting member with respect to the bone anchor. 3. The system of claim 1 , wherein the second end of the connecting member has an elongate opening extending therethrough.
| 0.750719 |
1. A method comprising: maintaining in a social networking system a plurality of connections among a plurality of users of the social networking system, the plurality of users each having an account on the social networking system that stores interests identified for each of the users; receiving in the social networking system an entry for a first user of the plurality of users, the received entry scheduling an event for the first user, the first user having a connection to a plurality of users in the social networking system; determining by the social networking system that the event is related to one or more of the interests stored in the accounts of the plurality of the users having a connection to the first user, the relation between the event and the stored interests indicating that the users may have a desire to also schedule the event on the users' own calendars; and providing, by the social networking system for display to each of the users having a connection to the first user and also having been determined to have one or more interests related to the event, an entry including information about the event that the users can accept to schedule the event on the users' own calendars.
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1. A method comprising: maintaining in a social networking system a plurality of connections among a plurality of users of the social networking system, the plurality of users each having an account on the social networking system that stores interests identified for each of the users; receiving in the social networking system an entry for a first user of the plurality of users, the received entry scheduling an event for the first user, the first user having a connection to a plurality of users in the social networking system; determining by the social networking system that the event is related to one or more of the interests stored in the accounts of the plurality of the users having a connection to the first user, the relation between the event and the stored interests indicating that the users may have a desire to also schedule the event on the users' own calendars; and providing, by the social networking system for display to each of the users having a connection to the first user and also having been determined to have one or more interests related to the event, an entry including information about the event that the users can accept to schedule the event on the users' own calendars. 10. The method of claim 1 , wherein the determining includes applying an affinity weighting factor to target the entry of the first user for display to the users having the connection to the first user in the social networking system based on the affinity of the users for the first user.
| 0.522904 |
1. A method comprising: starting a current automatic speech recognition session for recognizing speech received from a user via a device; identifying, via a processor, a group of speech recognition models comprising a speaker independent model and a speaker dependent model; recognizing the speech via each model in the group of speech recognition models, to yield recognition results; selecting, based on the recognition results, a dominant speech model from the group of speech recognition models to yield a remainder set of dropped speech recognition models; and continuously using only the dominant speech model, without applying the remainder set of dropped speech recognition models, to recognize additional speech received from the user.
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1. A method comprising: starting a current automatic speech recognition session for recognizing speech received from a user via a device; identifying, via a processor, a group of speech recognition models comprising a speaker independent model and a speaker dependent model; recognizing the speech via each model in the group of speech recognition models, to yield recognition results; selecting, based on the recognition results, a dominant speech model from the group of speech recognition models to yield a remainder set of dropped speech recognition models; and continuously using only the dominant speech model, without applying the remainder set of dropped speech recognition models, to recognize additional speech received from the user. 5. The method of claim 1 , further comprising dropping a speech model from the group of speech recognition models when recognition accuracy is below a threshold.
| 0.661046 |
6. The method of claim 1 , wherein the mapping comprises: sequencing out at least a portion of features of the one or more features to provide a feature sequence; and comparing the feature sequence to one or more defined sequences to identify one or more sound constructs of a selected language.
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6. The method of claim 1 , wherein the mapping comprises: sequencing out at least a portion of features of the one or more features to provide a feature sequence; and comparing the feature sequence to one or more defined sequences to identify one or more sound constructs of a selected language. 9. The method of claim 6 , wherein the sequencing out at least a portion of the one or more features comprises: selecting, from the one or more features, one or more dominant features; and sequencing the dominant features in order of identification.
| 0.816803 |
1. A method of providing a natural language interface for a computer-aided design (CAD) system, the method comprising: automatedly, via a computing device, displaying to the user a model display graphical user interface (GUI); automatedly, via the computing device, displaying to the user, in the model display GUI, a view window designed and configured to display a first view of a CAD model; automatedly, via the computing device, displaying to the user, in the model display GUI, a spectrum GUI designed and configured to allow the user to selectively add CAD-tool functionality to the model display GUI; automatedly, via the computing device, receiving a user voice input comprising a plurality of words and directing the computing device to perform an action using a specific CAD-tool functionality of a plurality of CAD-tool functionalities, wherein the user voice input does not include an instruction to activate the specific CAD-tool functionality; automatedly, via the computing device, parsing the user voice input; automatedly, via the computing device, identifying a command for the spectrum GUI to perform the action using the specific CAD-tool functionality based on the plurality of words, wherein identifying the command for the spectrum GUI to perform the action further comprises: automatedly, via the computing device, determining a meaning for the parsed user voice input, the meaning including a reference to the specific CAD-tool functionality; automatedly, via the computing device, assembling a query for additional information based on the meaning; automatedly, via the computing device, sending the assembled query to a corresponding information location; automatedly, via the computing device, receiving queried information from the corresponding information location; automatedly, via the computing device, translating received information into a response; automatedly, via the computing device, determining that the response includes the command for the spectrum GUI to perform the action using the specific CAD-tool functionality; automatedly, via the computing device, determining that the specific CAD-tool functionality is not currently activated in the Spectrum GUI; automatedly, via the computing device, sending a command to the Spectrum GUI to activate the specific CAD tool; and automatedly, via the computing device, sending the command to perform the action using the particular CAD-tool functionality to the spectrum GUI.
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1. A method of providing a natural language interface for a computer-aided design (CAD) system, the method comprising: automatedly, via a computing device, displaying to the user a model display graphical user interface (GUI); automatedly, via the computing device, displaying to the user, in the model display GUI, a view window designed and configured to display a first view of a CAD model; automatedly, via the computing device, displaying to the user, in the model display GUI, a spectrum GUI designed and configured to allow the user to selectively add CAD-tool functionality to the model display GUI; automatedly, via the computing device, receiving a user voice input comprising a plurality of words and directing the computing device to perform an action using a specific CAD-tool functionality of a plurality of CAD-tool functionalities, wherein the user voice input does not include an instruction to activate the specific CAD-tool functionality; automatedly, via the computing device, parsing the user voice input; automatedly, via the computing device, identifying a command for the spectrum GUI to perform the action using the specific CAD-tool functionality based on the plurality of words, wherein identifying the command for the spectrum GUI to perform the action further comprises: automatedly, via the computing device, determining a meaning for the parsed user voice input, the meaning including a reference to the specific CAD-tool functionality; automatedly, via the computing device, assembling a query for additional information based on the meaning; automatedly, via the computing device, sending the assembled query to a corresponding information location; automatedly, via the computing device, receiving queried information from the corresponding information location; automatedly, via the computing device, translating received information into a response; automatedly, via the computing device, determining that the response includes the command for the spectrum GUI to perform the action using the specific CAD-tool functionality; automatedly, via the computing device, determining that the specific CAD-tool functionality is not currently activated in the Spectrum GUI; automatedly, via the computing device, sending a command to the Spectrum GUI to activate the specific CAD tool; and automatedly, via the computing device, sending the command to perform the action using the particular CAD-tool functionality to the spectrum GUI. 2. The method of claim 1 , wherein determining the meaning for the parsed user voice input further comprises determining one or more words associated with one or more program actions related to the specific CAD-tool functionality.
| 0.510282 |
15. A non-transitory computer-readable storage medium including data that, when accessed by a processor, cause the processor to perform a method comprising: supplying a character code to a text rendering engine being tested to cause the text rendering engine to render a character corresponding to the character code, identifying a graphical reference image for the character, wherein the graphical reference image was produced by a source known to produce correct images; presenting the graphical reference image and the rendered character on a bitmapped display screen of a computer system to facilitate a visual comparison between a visual representation of the graphical reference image produced by the source known to produce correct images and a visual representation of the rendered character produced by the text rendering engine to be tested; receiving, by the computer system, user input indicating user evaluation of the graphical reference image and the rendered character, the user evaluation being based on the comparison between the visual representation of the graphical reference image and the visual representation of the rendered character, the user evaluation identifying one or more differences between the graphical reference image produced by the source known to produce correct images and the rendered character produced by the text rendering engine to be tested; and storing, by the computer system, the user evaluation in a database for subsequent debugging of the text rendering engine.
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15. A non-transitory computer-readable storage medium including data that, when accessed by a processor, cause the processor to perform a method comprising: supplying a character code to a text rendering engine being tested to cause the text rendering engine to render a character corresponding to the character code, identifying a graphical reference image for the character, wherein the graphical reference image was produced by a source known to produce correct images; presenting the graphical reference image and the rendered character on a bitmapped display screen of a computer system to facilitate a visual comparison between a visual representation of the graphical reference image produced by the source known to produce correct images and a visual representation of the rendered character produced by the text rendering engine to be tested; receiving, by the computer system, user input indicating user evaluation of the graphical reference image and the rendered character, the user evaluation being based on the comparison between the visual representation of the graphical reference image and the visual representation of the rendered character, the user evaluation identifying one or more differences between the graphical reference image produced by the source known to produce correct images and the rendered character produced by the text rendering engine to be tested; and storing, by the computer system, the user evaluation in a database for subsequent debugging of the text rendering engine. 16. The computer-readable storage medium of claim 15 , wherein the method further comprises: presenting an array containing a plurality of rows, each row including an indexing aid, a graphical reference image and a rendered character, on the bitmapped display screen; collecting an evaluation of the graphical reference image and the rendered character on each row; and storing the evaluations in the database.
| 0.5 |
16. A method for creating a secure content object for distributing and controlling access to a document and annotations associated with the document, comprising: providing an electronic document, wherein access to the electronic document is available to a first set of users; responsive to a first user from the first set of users, generating a plurality of annotations pertaining to the electronic document using the document language and associating the plurality of annotations with the first user; designating which users in the first set of users are authorized users have access to the plurality of annotations; encrypting each annotation using an annotation encryption key associated with the first user generating the particular annotation, wherein access to an encrypted annotation is available to authorized users having access to the respective annotation encryption key; for each annotation encryption key: generating a multi-key encryption table for use in a multi-key encryption method, the table comprising at least one multi-key component associated with each authorized user having been designated by the first user as having access to the annotation; providing a user interface for enabling a user to input a user authorization for access to at least a portion of an encrypted annotation; wherein, responsive to an input user authorization, combining the input user authorization with each of the stored multi-key components in the multi-key encryption key table to decrypt the annotation, wherein valid decryption of the annotation indicates the correct annotation encryption key has been found; concatenating the plurality of encrypted annotations in a second electronic document; and merging the second electronic document and the encrypted electronic document into a third electronic document such that access to the encrypted electronic document is available to the first set of users and access to the encrypted annotations in the separate file is provided only to authorized users.
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16. A method for creating a secure content object for distributing and controlling access to a document and annotations associated with the document, comprising: providing an electronic document, wherein access to the electronic document is available to a first set of users; responsive to a first user from the first set of users, generating a plurality of annotations pertaining to the electronic document using the document language and associating the plurality of annotations with the first user; designating which users in the first set of users are authorized users have access to the plurality of annotations; encrypting each annotation using an annotation encryption key associated with the first user generating the particular annotation, wherein access to an encrypted annotation is available to authorized users having access to the respective annotation encryption key; for each annotation encryption key: generating a multi-key encryption table for use in a multi-key encryption method, the table comprising at least one multi-key component associated with each authorized user having been designated by the first user as having access to the annotation; providing a user interface for enabling a user to input a user authorization for access to at least a portion of an encrypted annotation; wherein, responsive to an input user authorization, combining the input user authorization with each of the stored multi-key components in the multi-key encryption key table to decrypt the annotation, wherein valid decryption of the annotation indicates the correct annotation encryption key has been found; concatenating the plurality of encrypted annotations in a second electronic document; and merging the second electronic document and the encrypted electronic document into a third electronic document such that access to the encrypted electronic document is available to the first set of users and access to the encrypted annotations in the separate file is provided only to authorized users. 19. The method of claim 16 , wherein the encrypted header includes an encryption marker comprising a random number sequence followed by a derivable variation of the same random number sequence, wherein a valid decryption of the encryption marker indicates the annotation encryption key has been found.
| 0.609231 |
1. A method for automated rendering of context-compensated text in a graphical environment that is displayed in a display of a computing device, comprising: receiving a specification of items to be graphically displayed in the graphical environment, wherein the specification includes text to be graphically displayed in the graphical environment, and wherein the text is associated with an enhanced type-font for the text; determining a set of graphical items that will be displayed in proximity to a graphical representation of the text; determining that graphical aspects of the proximate graphical items will interfere with a user's ability to view the graphical representation of the text; and modifying the graphical representation of the text to more clearly display the text in the graphical environment, wherein modifying the graphical representation of the text comprises using rules associated with the enhanced type-font to change the complexity and detail displayed for the graphical representation of the text based on the size of the displayed text.
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1. A method for automated rendering of context-compensated text in a graphical environment that is displayed in a display of a computing device, comprising: receiving a specification of items to be graphically displayed in the graphical environment, wherein the specification includes text to be graphically displayed in the graphical environment, and wherein the text is associated with an enhanced type-font for the text; determining a set of graphical items that will be displayed in proximity to a graphical representation of the text; determining that graphical aspects of the proximate graphical items will interfere with a user's ability to view the graphical representation of the text; and modifying the graphical representation of the text to more clearly display the text in the graphical environment, wherein modifying the graphical representation of the text comprises using rules associated with the enhanced type-font to change the complexity and detail displayed for the graphical representation of the text based on the size of the displayed text. 6. The method of claim 1 , wherein changing the graphical representation of the text involves removing shadows and serifs for the displayed text when reducing the size of the displayed text.
| 0.768984 |
12. The non-transitory computer-readable storage medium of claim 10 , the computer program instructions further comprising instructions for: serving the job recall material to the user; and storing a response to the job recall material received from the user as a job recall activity completed by the user.
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12. The non-transitory computer-readable storage medium of claim 10 , the computer program instructions further comprising instructions for: serving the job recall material to the user; and storing a response to the job recall material received from the user as a job recall activity completed by the user. 14. The non-transitory computer-readable storage medium of claim 12 , wherein the job recall material is associated with a job listing, the computer program instructions further comprising instructions for: responsive to a user completing the job recall activity, recommending the job listing to the user.
| 0.91327 |
4. The apparatus of claim 2 , wherein the simplified computer device is configured so that, during display of the one local image file on the display screen, one of the local text files that is associated with the local image being displayed is also displayed on the display screen.
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4. The apparatus of claim 2 , wherein the simplified computer device is configured so that, during display of the one local image file on the display screen, one of the local text files that is associated with the local image being displayed is also displayed on the display screen. 5. The apparatus of claim 4 , wherein the local text file being displayed is displayed on a first portion of the display screen and the local image file being displayed is displayed on a second portion of the display screen.
| 0.924987 |
3. The method of claim 1 , wherein the sketching matrix has a form of r×n, where r<<n.
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3. The method of claim 1 , wherein the sketching matrix has a form of r×n, where r<<n. 4. The method of claim 3 , wherein the number of iterations required until the sketching matrix used by a linear sketch can be identified is a function of n that can be represented as first degree polynomial.
| 0.88311 |
16. The device of claim 1, wherein the speech synthesizer includes means for generating a plurality of voices.
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16. The device of claim 1, wherein the speech synthesizer includes means for generating a plurality of voices. 18. The device of claim 16, wherein the means for generating a plurality of voices includes voice selection in response to user control.
| 0.891502 |
1. A method of searching a plurality of documents to be accessed by a plurality of readers or groups of readers, said plurality of documents having been sorted by performing steps of developing a list of interest areas represented by said plurality of readers, developing a hierarchical index of subject matter referred to in said plurality of documents, each entry in said hierarchical index having at least one of an index term and an associated code, assigning a limited number of index terms or associated codes of said hierarchical index to each document of said plurality of documents, assigning at least one of said interest areas to each document of said plurality of documents, and assembling a plurality of hierarchical indices of subject matter for respective interest areas from index terms and associated codes assigned to documents forming a hierarchical database in each of said interest areas, said method comprising steps of searching index terms of one of said plurality of hierarchical indices for index terms corresponding to search terms of a search query, performing a search of said documents in one of said interest areas based on individual or combined index terms that may be assigned to said documents for each index term corresponding to one or more search terms, and logically combining results of each search corresponding to a respective one or more search terms based on assigned index terms.
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1. A method of searching a plurality of documents to be accessed by a plurality of readers or groups of readers, said plurality of documents having been sorted by performing steps of developing a list of interest areas represented by said plurality of readers, developing a hierarchical index of subject matter referred to in said plurality of documents, each entry in said hierarchical index having at least one of an index term and an associated code, assigning a limited number of index terms or associated codes of said hierarchical index to each document of said plurality of documents, assigning at least one of said interest areas to each document of said plurality of documents, and assembling a plurality of hierarchical indices of subject matter for respective interest areas from index terms and associated codes assigned to documents forming a hierarchical database in each of said interest areas, said method comprising steps of searching index terms of one of said plurality of hierarchical indices for index terms corresponding to search terms of a search query, performing a search of said documents in one of said interest areas based on individual or combined index terms that may be assigned to said documents for each index term corresponding to one or more search terms, and logically combining results of each search corresponding to a respective one or more search terms based on assigned index terms. 8. The method as recited in claim 1 including a further step of displaying one or more index terms returned by said search of index terms corresponding to search terms.
| 0.57092 |
13. The method of claim 1 , comprising installing a dynamic information frame configured as a web window within a web window, wherein each web window contains different self-generated data entry screens.
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13. The method of claim 1 , comprising installing a dynamic information frame configured as a web window within a web window, wherein each web window contains different self-generated data entry screens. 14. The method of claim 13 , wherein the dynamic information frame is a static creation or a dynamic creation on the mobile device specific webpage.
| 0.980165 |
3. The method of claim 1 wherein processing the types in the second list comprises: setting a current type to a first type in the second list; if the current type has a supertype, setting the current type to be the supertype, and repeating setting the current type to be the supertype until the current type does not have a supertype; else, if the current type has not been processed, creating an empty column list, processing the empty column list for the current type, creating a database table for the current type, adding an identity-type column to the database table to represent database identity of instances of the current type, creating, for each column in a column list, a column of lexical type or of identity-type, and marking the current type as processed.
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3. The method of claim 1 wherein processing the types in the second list comprises: setting a current type to a first type in the second list; if the current type has a supertype, setting the current type to be the supertype, and repeating setting the current type to be the supertype until the current type does not have a supertype; else, if the current type has not been processed, creating an empty column list, processing the empty column list for the current type, creating a database table for the current type, adding an identity-type column to the database table to represent database identity of instances of the current type, creating, for each column in a column list, a column of lexical type or of identity-type, and marking the current type as processed. 4. The method of claim 3 wherein processing the empty column list for the current type comprises: adding a Boolean column to the column list to indicate whether an instance is of the current type; if there is a reference scheme defined for the current type, the reference scheme including one or more fact types, for each of the fact types in the reference scheme, the fact type having an identifying role which has a type: if the type of the identifying role of the fact type is a lexical type, adding the column of the lexical type to the column list; else, adding an identity-type column to the column list to represent database identity of the type of the identifying role of the fact type; and marking the current type as processed.
| 0.830625 |
1. A student desk configured to incorporate brain-based movement into learning activities comprising: a frame comprising a table support including leg member portions extending upwardly from a front portion of the frame and a non-rotating seat support extending upwardly from a rear portion of the frame; a rotatable seat carried by the seat support and configured to rotate about the non-rotating seat support from a resting position to a first ending position in a first direction and from a resting position to a second ending position in a second direction; a table carried by the table support, the table having a substantially flat and smooth top face, a bottom face, and a near edge proximate to the seat; a sensory relief disposed a surface of the table other than the top face, the sensory relief comprising at least one face having at least one tactilely discernable feature accessible by a user of the student desk; a swinging footrest rotatably mounted between the leg member portions of the frame; a torsion spring having a pair of legs; a pair of barriers disposed on the seat support and associated with the torsion spring, each barrier configured to remain stationary while the seat rotates and to prevent one leg of the torsion spring from traveling in one direction from the resting position; and a pair of projections extending from the seat and operatively engaging one leg of the torsion spring, each projection moving with the seat as the seat rotates, the torsion spring opposing rotation of the seat by applying a force to the projection via the associated leg.
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1. A student desk configured to incorporate brain-based movement into learning activities comprising: a frame comprising a table support including leg member portions extending upwardly from a front portion of the frame and a non-rotating seat support extending upwardly from a rear portion of the frame; a rotatable seat carried by the seat support and configured to rotate about the non-rotating seat support from a resting position to a first ending position in a first direction and from a resting position to a second ending position in a second direction; a table carried by the table support, the table having a substantially flat and smooth top face, a bottom face, and a near edge proximate to the seat; a sensory relief disposed a surface of the table other than the top face, the sensory relief comprising at least one face having at least one tactilely discernable feature accessible by a user of the student desk; a swinging footrest rotatably mounted between the leg member portions of the frame; a torsion spring having a pair of legs; a pair of barriers disposed on the seat support and associated with the torsion spring, each barrier configured to remain stationary while the seat rotates and to prevent one leg of the torsion spring from traveling in one direction from the resting position; and a pair of projections extending from the seat and operatively engaging one leg of the torsion spring, each projection moving with the seat as the seat rotates, the torsion spring opposing rotation of the seat by applying a force to the projection via the associated leg. 16. The student desk of claim 1 wherein the seat includes a spherical cap, which spherical cap houses a gel cushion.
| 0.60716 |
16. A spine stabilization device comprising: a bone screw having a distal end adapted to engage a bone; a housing at a proximal end of said bone anchor; a longitudinal bore in said housing; said bore being aligned with the bone screw and having an open end and a closed end; a hemispherical pocket at the closed end of said bore; a deflectable post having a proximal end, an elongated body and a distal end; the proximal end of said deflectable post extending from the open end of said longitudinal bore; a spherical retainer at the distal end of the deflectable post; the spherical retainer being received in the hemispherical pocket of the bore; a fastener which secures the spherical retainer in the hemispherical pocket and allows the deflectable post to pivot and rotate relative to the bone anchor; and a spring positioned within the bore between the deflectable post and the housing such that the spring flexibly resists pivoting of the deflectable post towards the housing.
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16. A spine stabilization device comprising: a bone screw having a distal end adapted to engage a bone; a housing at a proximal end of said bone anchor; a longitudinal bore in said housing; said bore being aligned with the bone screw and having an open end and a closed end; a hemispherical pocket at the closed end of said bore; a deflectable post having a proximal end, an elongated body and a distal end; the proximal end of said deflectable post extending from the open end of said longitudinal bore; a spherical retainer at the distal end of the deflectable post; the spherical retainer being received in the hemispherical pocket of the bore; a fastener which secures the spherical retainer in the hemispherical pocket and allows the deflectable post to pivot and rotate relative to the bone anchor; and a spring positioned within the bore between the deflectable post and the housing such that the spring flexibly resists pivoting of the deflectable post towards the housing. 22. The spine stabilization device of claim 16 , wherein the spring comprises a first portion in contact with the deflectable post, a second portion in contact with the housing and a flexible portion between the first portion and the second portion which is elastically deformed by pivoting of the deflectable post towards the housing and wherein the third portion comprises a coil.
| 0.556294 |
2. The method of claim 1 , further comprising: determining that a particular keyword targeted content item from the plurality of keyword targeted content items and at least one of the retargeted content items are provided by a same content item provider; and removing the particular keyword targeted content item from the plurality of keyword targeted content items that are eligible for presentation with the search results page.
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2. The method of claim 1 , further comprising: determining that a particular keyword targeted content item from the plurality of keyword targeted content items and at least one of the retargeted content items are provided by a same content item provider; and removing the particular keyword targeted content item from the plurality of keyword targeted content items that are eligible for presentation with the search results page. 3. The method of claim 2 , wherein determining that the particular keyword targeted content item and the at least one retargeted content items are provided by a same content item provider comprises determining that the particular keyword targeted content item and the retargeted content item are each included in a same advertisement campaign for the same content item provider.
| 0.902945 |
1. A method, comprising: scanning, by a computer, a set of messages of a user sent to or received from a plurality of persons, the messages comprising a first message from a first person; generating a plurality of profiles for the persons, each profile comprising a name of a respective person from one of the messages, and at least one of a social network profile name or a link to a social network profile for the respective person, the plurality of profiles including a first profile for the first person; extracting information from the messages to form search queries, the extracted information comprising a domain obtained from an address of the first message, the domain corresponding to a first website, the search queries including a first query, and the first query comprising search criteria including the domain; communicating, over a network, with a plurality of servers in an automated way to extract data from the servers, the extracting data comprising querying the servers using the search queries, the extracted data comprising first data obtained from the first website; storing a respective portion of the data extracted from the servers in each profile of the plurality of profiles, the storing comprising storing the first data in the first profile; in response to an incomplete input in an input field for a new address of a new message being composed by the user, identifying a set of persons in the plurality of profiles that match the incomplete input, the set of persons including the first person; determining, using the plurality of profiles, a relevancy score for each person of the set of persons based on a type of communication of the new message, wherein an address for a same type of communication as the new address is given more weight than an address for another type of communication, and the relevancy score further based on types of fields in which addresses of senders and recipients of the messages appear, wherein a weight given for an address in a From field is greater than a weight given for an address in a CC or BCC field; and presenting to the user a plurality of suggestions to complete the incomplete input based on the set of persons, wherein the suggestions are presented in an order based on the respective relevancy score for each person of the set of persons.
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1. A method, comprising: scanning, by a computer, a set of messages of a user sent to or received from a plurality of persons, the messages comprising a first message from a first person; generating a plurality of profiles for the persons, each profile comprising a name of a respective person from one of the messages, and at least one of a social network profile name or a link to a social network profile for the respective person, the plurality of profiles including a first profile for the first person; extracting information from the messages to form search queries, the extracted information comprising a domain obtained from an address of the first message, the domain corresponding to a first website, the search queries including a first query, and the first query comprising search criteria including the domain; communicating, over a network, with a plurality of servers in an automated way to extract data from the servers, the extracting data comprising querying the servers using the search queries, the extracted data comprising first data obtained from the first website; storing a respective portion of the data extracted from the servers in each profile of the plurality of profiles, the storing comprising storing the first data in the first profile; in response to an incomplete input in an input field for a new address of a new message being composed by the user, identifying a set of persons in the plurality of profiles that match the incomplete input, the set of persons including the first person; determining, using the plurality of profiles, a relevancy score for each person of the set of persons based on a type of communication of the new message, wherein an address for a same type of communication as the new address is given more weight than an address for another type of communication, and the relevancy score further based on types of fields in which addresses of senders and recipients of the messages appear, wherein a weight given for an address in a From field is greater than a weight given for an address in a CC or BCC field; and presenting to the user a plurality of suggestions to complete the incomplete input based on the set of persons, wherein the suggestions are presented in an order based on the respective relevancy score for each person of the set of persons. 4. The method of claim 1 , wherein the set of messages includes messages received at a user terminal for the user and messages sent by the user from the user terminal.
| 0.538797 |
2. A method executed by a computer processor for use with a first set of documents related to a first topic of interest and a second set of documents related to a second topic of interest, comprising: automatically generating a first taxonomy through a feature space derived from the first set of documents, wherein the feature space includes at least one of unstructured data, structured data, and annotations derived from text of the first set of documents, and the first taxonomy provides a first partition of the first set of documents according to the first taxonomy; using domain-specific knowledge to re-partition the first set of documents to provide a second partition of the first set of documents; using a first taxonomy to categorize the first set of documents into a first set of categories; creating a second set of categories of the first set of documents, wherein the second set of categories are independent of the second partition based on at least one of unstructured data, structured data, and annotations derived from text in the first set of documents; constructing a contingency table having the first set of categories along a first axis and the second set of categories along a second axis, wherein the contingency table includes cells having respective actual values and for which respective expected values are computed, and includes a cell having trending information; displaying the first set of categories along a first axis and the second set of categories along a second axis on a display device; comparing the expected value of a cell against the actual value of a cell to identify a category of interest; computing a degree of significance for the actual value of the cell; identifying a relationship between at least two different categories using the contingency table; using the contingency table and trending information to identify a recent category with respect to some pre-determined date; comparing the category of interest with the first taxonomy over time; categorizing the second set of documents according to the set of categories of the first set of documents; examining a category to identify a document of interest, the document of interest being identified as a document within a pre-specified distance of the centroid of a feature space derived from the first set of documents; creating a second taxonomy different from and independent of the first taxonomy; and combining the first taxonomy with the second taxonomy by merging classes in the first taxonomy with classes in the second taxonomy.
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2. A method executed by a computer processor for use with a first set of documents related to a first topic of interest and a second set of documents related to a second topic of interest, comprising: automatically generating a first taxonomy through a feature space derived from the first set of documents, wherein the feature space includes at least one of unstructured data, structured data, and annotations derived from text of the first set of documents, and the first taxonomy provides a first partition of the first set of documents according to the first taxonomy; using domain-specific knowledge to re-partition the first set of documents to provide a second partition of the first set of documents; using a first taxonomy to categorize the first set of documents into a first set of categories; creating a second set of categories of the first set of documents, wherein the second set of categories are independent of the second partition based on at least one of unstructured data, structured data, and annotations derived from text in the first set of documents; constructing a contingency table having the first set of categories along a first axis and the second set of categories along a second axis, wherein the contingency table includes cells having respective actual values and for which respective expected values are computed, and includes a cell having trending information; displaying the first set of categories along a first axis and the second set of categories along a second axis on a display device; comparing the expected value of a cell against the actual value of a cell to identify a category of interest; computing a degree of significance for the actual value of the cell; identifying a relationship between at least two different categories using the contingency table; using the contingency table and trending information to identify a recent category with respect to some pre-determined date; comparing the category of interest with the first taxonomy over time; categorizing the second set of documents according to the set of categories of the first set of documents; examining a category to identify a document of interest, the document of interest being identified as a document within a pre-specified distance of the centroid of a feature space derived from the first set of documents; creating a second taxonomy different from and independent of the first taxonomy; and combining the first taxonomy with the second taxonomy by merging classes in the first taxonomy with classes in the second taxonomy. 4. The method of claim 2 , wherein categorizing the second set of documents includes categorizing the second set of documents according to a criterion chosen from a group consisting of: text within the second set of documents, structure within the second set of documents, and annotations derived from text within the second set of documents.
| 0.521622 |
1. A computer implemented method comprising: receiving a markup language document specifying a user interface for interacting with a user; receiving a specification comprising a mapping from sets of node types to sets of handlers, wherein each set of node types specified in the mapping is mapped to a set of handlers; representing the markup language document using a hierarchical structure of nodes representing elements of the markup language document and edges connecting the nodes, wherein the hierarchical structure comprises: a subset of nodes mapped to node types; and a root node connected with other nodes via paths comprising nodes and edges; receiving a user input associated with a selected node; identifying a set of node types encountered in a path connecting the root node with the selected node; identifying a set of handlers mapped to the identified set of node types based on the mapping; and executing the handlers in the identified set of handlers.
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1. A computer implemented method comprising: receiving a markup language document specifying a user interface for interacting with a user; receiving a specification comprising a mapping from sets of node types to sets of handlers, wherein each set of node types specified in the mapping is mapped to a set of handlers; representing the markup language document using a hierarchical structure of nodes representing elements of the markup language document and edges connecting the nodes, wherein the hierarchical structure comprises: a subset of nodes mapped to node types; and a root node connected with other nodes via paths comprising nodes and edges; receiving a user input associated with a selected node; identifying a set of node types encountered in a path connecting the root node with the selected node; identifying a set of handlers mapped to the identified set of node types based on the mapping; and executing the handlers in the identified set of handlers. 5. The computer implemented method of claim 1 , wherein the user input is one of a mouse click or a key press operation.
| 0.644409 |
1. A computer-implemented method comprising: receiving information requested from a first Internet domain at a parent container document associated with a web-accessible document hosted at a second Internet domain; generating, using the parent container document, a plurality of child container documents that are associated with the second Internet domain; fragmenting the received information into fragments, and passing the fragments of the received information from the container document to the plurality of child container documents associated with the second Internet domain for access by the web-accessible document; and generating another child container document that stores information indicating, at least, a number of child container documents across which the received information has been fragmented and an order for reassembling the fragments of the received information.
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1. A computer-implemented method comprising: receiving information requested from a first Internet domain at a parent container document associated with a web-accessible document hosted at a second Internet domain; generating, using the parent container document, a plurality of child container documents that are associated with the second Internet domain; fragmenting the received information into fragments, and passing the fragments of the received information from the container document to the plurality of child container documents associated with the second Internet domain for access by the web-accessible document; and generating another child container document that stores information indicating, at least, a number of child container documents across which the received information has been fragmented and an order for reassembling the fragments of the received information. 2. The method of claim 1 , wherein the parent container document and the child container documents comprise markup language frames, inline frames, Xframes, or a combination thereof.
| 0.814143 |
1. A method for a providing a document electronically to one or more readers for review, the method comprising: receiving one or more reader settings set by an author over a user interface displayed at a computing device, wherein at least one of the reader settings specifies that at least a portion of an uploaded electronic book is to be encrypted; encrypting the specified portion of the uploaded electronic book in accordance with an encryption key; transmitting the encrypted portion of the electronic book over a network interface at the computing device to at least one reader device, wherein decryption of the encrypted portion by the reader device requires a decryption key corresponding to the encryption key; receiving eye tracking data collected by at least one sensor at the reader device after the decrypted portion is displayed at the reader device; identifying that the received eye tracking data indicates a plurality of focal points directed at a subset of content within the display of the transmitted portion at the reader device; receiving feedback data from the reader device in association with the subset of content; and generating a display of the electronic book at the computing device, wherein the generated display further includes the feedback data and indicates the focal points in association with the subset of content.
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1. A method for a providing a document electronically to one or more readers for review, the method comprising: receiving one or more reader settings set by an author over a user interface displayed at a computing device, wherein at least one of the reader settings specifies that at least a portion of an uploaded electronic book is to be encrypted; encrypting the specified portion of the uploaded electronic book in accordance with an encryption key; transmitting the encrypted portion of the electronic book over a network interface at the computing device to at least one reader device, wherein decryption of the encrypted portion by the reader device requires a decryption key corresponding to the encryption key; receiving eye tracking data collected by at least one sensor at the reader device after the decrypted portion is displayed at the reader device; identifying that the received eye tracking data indicates a plurality of focal points directed at a subset of content within the display of the transmitted portion at the reader device; receiving feedback data from the reader device in association with the subset of content; and generating a display of the electronic book at the computing device, wherein the generated display further includes the feedback data and indicates the focal points in association with the subset of content. 7. The method of claim 1 , further comprising transmitting an advertisement for display on the display at the reader device, the advertisement associated with the electronic book, wherein the received eye tracking data is analyzed to identify whether and how long the reader focused on the advertisement.
| 0.703307 |
1. A method of providing closed-loop analysis of a business process, the method performed by a computer-based process management subsystem of an enterprise system, the method comprising: in response to user input, selectively communicating with each of a plurality of commercial off-the-shelf software (COTS) products including at least one COTS flowcharting tool, at least one COTS simulator, at least one COTS project management tool, and at least one COTS workflow management tool, the selective communicating performable via application programming interfaces (APIs) implemented between the process management subsystem and each COTS product; making a plurality of modeling stencils available on a graphical display via one of the at least one COTS flowcharting tool, at least some of the stencils representing modeling diagram objects selectable by a user of the display to compose and display one or more extended modeling diagrams, including one or more activity diagrams, representing the business process, the modeling diagrams extended so as to be independent of proprietary tools and protocols of the plurality of COTS products; in response to user input via one or more simulation stencils made available on the display via one of the at least one COTS flowcharting tool, using one or more simulation objects represented by simulation stencils selected by a user of the display to extend a user-selected one of the one or more activity diagrams to obtain a simulation model that is independent of proprietary tools and protocols of the COTS products, and delivering the simulation model via one of the APIs to one of the at least one COTS simulator for performance of simulation; in response to user input via one of the at least one COTS flowcharting tool, generating activity duration data based on simulation output received from the at least one COTS simulator, and sending the duration data to one of the at least one COTS project management tool; and in response to user input, providing abstractions of workflow and project management for use in one or more user-selected implementations of the selected activity diagram via the at least one COTS workflow management tool and via the at least one COTS project management tool.
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1. A method of providing closed-loop analysis of a business process, the method performed by a computer-based process management subsystem of an enterprise system, the method comprising: in response to user input, selectively communicating with each of a plurality of commercial off-the-shelf software (COTS) products including at least one COTS flowcharting tool, at least one COTS simulator, at least one COTS project management tool, and at least one COTS workflow management tool, the selective communicating performable via application programming interfaces (APIs) implemented between the process management subsystem and each COTS product; making a plurality of modeling stencils available on a graphical display via one of the at least one COTS flowcharting tool, at least some of the stencils representing modeling diagram objects selectable by a user of the display to compose and display one or more extended modeling diagrams, including one or more activity diagrams, representing the business process, the modeling diagrams extended so as to be independent of proprietary tools and protocols of the plurality of COTS products; in response to user input via one or more simulation stencils made available on the display via one of the at least one COTS flowcharting tool, using one or more simulation objects represented by simulation stencils selected by a user of the display to extend a user-selected one of the one or more activity diagrams to obtain a simulation model that is independent of proprietary tools and protocols of the COTS products, and delivering the simulation model via one of the APIs to one of the at least one COTS simulator for performance of simulation; in response to user input via one of the at least one COTS flowcharting tool, generating activity duration data based on simulation output received from the at least one COTS simulator, and sending the duration data to one of the at least one COTS project management tool; and in response to user input, providing abstractions of workflow and project management for use in one or more user-selected implementations of the selected activity diagram via the at least one COTS workflow management tool and via the at least one COTS project management tool. 4. The method of claim 1 , further comprising providing semantic integration of the models via open architecture of the products.
| 0.567819 |
9. The storage medium storing the program according to claim 1 , wherein the program causes the computer to perform further operations comprising converting the sentence data in the form of retrieved text data into a sentence image in the form of image data to be displayed, and wherein the sentence image is used in the form of converted image data to display at least a portion of the sentence image.
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9. The storage medium storing the program according to claim 1 , wherein the program causes the computer to perform further operations comprising converting the sentence data in the form of retrieved text data into a sentence image in the form of image data to be displayed, and wherein the sentence image is used in the form of converted image data to display at least a portion of the sentence image. 12. The storage medium storing the program according to claim 9 , wherein editing the displayed sentence image includes: superposing text data corresponding to the detected coordinate points onto the image data of the sentence image; and converting the superposed text data into image data and combining the image data with the image data of the sentence data with timing of starting execution of transmitting the edited sentence image, and wherein the image data of the combined sentence image is transmitted to the other apparatus.
| 0.843992 |
4. A method for enhancing communication within a community according to claim 3 wherein said distributing control through inherited parameters of said hierarchical structure further comprises: assigning at least one of said inherited parameters to each of said at least one top-level subject, wherein said at least one of said inherited parameters controls input or access to a database function by said at least one top-level leader associated with said at least one top-level subject; assigning at least one of said inherited parameters to each of said at least one mid-level subject, wherein said at least one of said inherited parameters controls input or access to a database function by said at least one mid-level leader associated with said at least one mid-level subject; and assigning at least one of said inherited parameters to each of said at least one low-level subject, wherein said at least one of said inherited parameters controls input or access to a database function by said at least one low-level leader associated with said at least one low-level subject.
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4. A method for enhancing communication within a community according to claim 3 wherein said distributing control through inherited parameters of said hierarchical structure further comprises: assigning at least one of said inherited parameters to each of said at least one top-level subject, wherein said at least one of said inherited parameters controls input or access to a database function by said at least one top-level leader associated with said at least one top-level subject; assigning at least one of said inherited parameters to each of said at least one mid-level subject, wherein said at least one of said inherited parameters controls input or access to a database function by said at least one mid-level leader associated with said at least one mid-level subject; and assigning at least one of said inherited parameters to each of said at least one low-level subject, wherein said at least one of said inherited parameters controls input or access to a database function by said at least one low-level leader associated with said at least one low-level subject. 5. A method for enhancing communication within a community according to claim 4 : wherein said at least one of said inherited parameters assigned to each of said at least one low-level subject is inherited from said at least one mid-level subject related to said at least one low-level subject, and further wherein said at least one of said inherited parameters assigned to each of said at least one mid-level subject is inherited from said at least one top-level subject related to said at least one mid-level subject, and further wherein said at least one of said inherited parameters assigned to each of said at least one top-level subject is inherited from a web master.
| 0.835049 |
54. The method of claim 53 , further comprising retrieving the object from a memory indicated by the location pointer within the result of the at least one first predictive background query.
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54. The method of claim 53 , further comprising retrieving the object from a memory indicated by the location pointer within the result of the at least one first predictive background query. 55. The method of claim 54 , further comprising replacing the location pointer in the result of the at least one first predictive background query with the retrieved object.
| 0.964141 |
1. A method, comprising: creating a data-interactive application and providing said data-interactive application within a shared platform, said shared platform including one or more computing devices, by which data describing actions performed by a plurality of users is received over a network within said shared platform via said data-interactive application; configuring said shared platform to be accessible by said plurality of users via said data-interactive application, by one or more computing devices of said shared platform, the data-interactive application within said shared platform and accessible asynchronously by said plurality of users over said network, said data-interactive application installed on the shared platform to receive said data describing actions variously performed by said plurality of users, the shared platform containing a content-organization engine coupled to said data-interactive application to execute said data describing said actions variously performed by said plurality of users; receiving, by the one or more computing devices of said shared platform, via said data-interactive application within the shared platform, certain content created by said data describing actions performed by a particular user from the plurality of users, relating to particular text within electronic content stored within said shared platform and providing for display by the content-organization engine said electronic content in the form of a book, for viewing by another user over the network at a remote device, and embedding the certain content created by said one user within a page in the book; sharing automatically, by the one or more computing devices within said shared platform and the content-organization engine, the certain content created by the user with groups of other users as designated by a sharing engine coupled to the content-organization engine, wherein the certain content is provided for display to one or more groups of users on at least said remote device, if the one or more groups are designated for viewing said certain content added by said particular user and when the one or more groups review the electronic content stored within said shared platform; creating automatically by the content-organization engine, and by the one or more computing devices of shared platform, a master identification code for identifying all versions of the electronic content and providing the certain content created by the particular user by said data describing said actions performed by said particular user for display by a graphical user interface with multiple windows displaying all the versions of the electronic content stored within said shared platform; generating by the content-organization engine and providing for display by the graphical user interface and via said multiple windows, and by at least one of the one or more computing devices of said shared platform, multiple channels for multiple threads of discussion created for different groups based on restrictions designated and starting a new channel for a new thread of discussion for a private group without including previous discussions; generating, by the content-organization engine and by the one or more computing devices of said shared platform, a chapter map for the electronic content stored within the shared platform, by which the certain content created by the particular user and provided to others is selectively located in an appropriate version of the electronic content identified from all the versions of the electronic content and wherein if the certain content created by the particular user defines an assignment, answers from other users responding to the assignment are compiled for review by the particular user providing the assignment; and providing a content discovery system as part of the content-organization engine and configured to allow certain users to browse through lists of materials compiled by other users based on established relationships and discover content that may be of interest.
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1. A method, comprising: creating a data-interactive application and providing said data-interactive application within a shared platform, said shared platform including one or more computing devices, by which data describing actions performed by a plurality of users is received over a network within said shared platform via said data-interactive application; configuring said shared platform to be accessible by said plurality of users via said data-interactive application, by one or more computing devices of said shared platform, the data-interactive application within said shared platform and accessible asynchronously by said plurality of users over said network, said data-interactive application installed on the shared platform to receive said data describing actions variously performed by said plurality of users, the shared platform containing a content-organization engine coupled to said data-interactive application to execute said data describing said actions variously performed by said plurality of users; receiving, by the one or more computing devices of said shared platform, via said data-interactive application within the shared platform, certain content created by said data describing actions performed by a particular user from the plurality of users, relating to particular text within electronic content stored within said shared platform and providing for display by the content-organization engine said electronic content in the form of a book, for viewing by another user over the network at a remote device, and embedding the certain content created by said one user within a page in the book; sharing automatically, by the one or more computing devices within said shared platform and the content-organization engine, the certain content created by the user with groups of other users as designated by a sharing engine coupled to the content-organization engine, wherein the certain content is provided for display to one or more groups of users on at least said remote device, if the one or more groups are designated for viewing said certain content added by said particular user and when the one or more groups review the electronic content stored within said shared platform; creating automatically by the content-organization engine, and by the one or more computing devices of shared platform, a master identification code for identifying all versions of the electronic content and providing the certain content created by the particular user by said data describing said actions performed by said particular user for display by a graphical user interface with multiple windows displaying all the versions of the electronic content stored within said shared platform; generating by the content-organization engine and providing for display by the graphical user interface and via said multiple windows, and by at least one of the one or more computing devices of said shared platform, multiple channels for multiple threads of discussion created for different groups based on restrictions designated and starting a new channel for a new thread of discussion for a private group without including previous discussions; generating, by the content-organization engine and by the one or more computing devices of said shared platform, a chapter map for the electronic content stored within the shared platform, by which the certain content created by the particular user and provided to others is selectively located in an appropriate version of the electronic content identified from all the versions of the electronic content and wherein if the certain content created by the particular user defines an assignment, answers from other users responding to the assignment are compiled for review by the particular user providing the assignment; and providing a content discovery system as part of the content-organization engine and configured to allow certain users to browse through lists of materials compiled by other users based on established relationships and discover content that may be of interest. 6. The method of claim 1 , wherein the answers to the assignment are further provided to other peer users for review.
| 0.55775 |
16. A computer-readable storage medium having instructions stored thereon that, when executed by a processor, cause the processor to perform operations comprising: receiving a plurality of electronic voice action suggestions, wherein each of the electronic voice action suggestions comprises a voice action that a user proposes to include in a voice action system, wherein a voice action comprises a triggering phrase and an action; selecting one or more electronic voice action suggestions from among the plurality of electronic voice action suggestions; and modifying data associated with the voice action system to include the voice action for each of the selected one or more electronic voice action suggestions, wherein the voice action system performs the action associated with the respective voice action when voice input received from a user corresponds to the triggering phrase associated with the respective voice action; and setting a parameter in a voice action language model database to increase a likelihood that the voice action system determines that the voice input received from the user corresponds to the triggering phrase of the selected one or more electronic voice action suggestions, wherein at least one voice action suggestion comprises a proposal to modify the voice action system to include a voice action grammar associated with the voice action suggestion, wherein the voice action grammar comprises a plurality of voice actions, and wherein modifying the voice action system comprises, for each of the at least one voice action suggestions having a voice action grammar associated therewith that is selected, modifying the voice action system to include the plurality of voice actions associated with the voice action grammar.
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16. A computer-readable storage medium having instructions stored thereon that, when executed by a processor, cause the processor to perform operations comprising: receiving a plurality of electronic voice action suggestions, wherein each of the electronic voice action suggestions comprises a voice action that a user proposes to include in a voice action system, wherein a voice action comprises a triggering phrase and an action; selecting one or more electronic voice action suggestions from among the plurality of electronic voice action suggestions; and modifying data associated with the voice action system to include the voice action for each of the selected one or more electronic voice action suggestions, wherein the voice action system performs the action associated with the respective voice action when voice input received from a user corresponds to the triggering phrase associated with the respective voice action; and setting a parameter in a voice action language model database to increase a likelihood that the voice action system determines that the voice input received from the user corresponds to the triggering phrase of the selected one or more electronic voice action suggestions, wherein at least one voice action suggestion comprises a proposal to modify the voice action system to include a voice action grammar associated with the voice action suggestion, wherein the voice action grammar comprises a plurality of voice actions, and wherein modifying the voice action system comprises, for each of the at least one voice action suggestions having a voice action grammar associated therewith that is selected, modifying the voice action system to include the plurality of voice actions associated with the voice action grammar. 18. The computer-readable storage medium of claim 16 , wherein the voice action system comprises the voice action language model database including phrases that the voice action system is configured to recognize as being a triggering phrase of one or more voice actions, and wherein the operations further comprise, for each of the triggering phrases for the selected voice action suggestions: determining if the phrase is included in the voice action language model database; and adding the phrase to the voice action language model database when the phrase is not already included in the voice action language model database.
| 0.587068 |
7. The method of claim 1 wherein the method includes parallel execution of the plurality of data items using the plurality of operators.
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7. The method of claim 1 wherein the method includes parallel execution of the plurality of data items using the plurality of operators. 8. The method of claim 7 wherein the parallel execution is selected from the group consisting of a pipelined execution and a data-parallel execution.
| 0.977043 |
13. A system for providing supplemental functionalities for an executable program, the system comprising: a computer system comprising one or more processors programmed with computer program instructions that, when executed, cause the computer system to: cause an executable program associated with an ontology to be run, wherein the ontology comprises information indicating attributes for a set of applications; obtain a domain-specific ontology, wherein the domain-specific ontology is within a domain of interest; obtain an ontology instance of the ontology based on the domain-specific ontology, the ontology instance corresponding to an application of the set of applications that is within the domain of interest extract axiom information from the ontology; generate a set of logic rules using the axiom information; compute entailments on the ontology instance using the set of logic rules, wherein the entailments include asserted and inferred class membership of the ontology instance and verify that no axioms indicated in the axiom information are violated; use the ontology instance to generate application metadata for the executable program, wherein at least part of the application metadata is generated based on the set of logic rules, and wherein the application metadata defines one or more functionalities of the application of the set of applications that is within the domain of interest; and provide the application metadata as input to the executable program, wherein the application metadata, at least in part, causes the one or more functionalities of the application to be made available via the executable program.
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13. A system for providing supplemental functionalities for an executable program, the system comprising: a computer system comprising one or more processors programmed with computer program instructions that, when executed, cause the computer system to: cause an executable program associated with an ontology to be run, wherein the ontology comprises information indicating attributes for a set of applications; obtain a domain-specific ontology, wherein the domain-specific ontology is within a domain of interest; obtain an ontology instance of the ontology based on the domain-specific ontology, the ontology instance corresponding to an application of the set of applications that is within the domain of interest extract axiom information from the ontology; generate a set of logic rules using the axiom information; compute entailments on the ontology instance using the set of logic rules, wherein the entailments include asserted and inferred class membership of the ontology instance and verify that no axioms indicated in the axiom information are violated; use the ontology instance to generate application metadata for the executable program, wherein at least part of the application metadata is generated based on the set of logic rules, and wherein the application metadata defines one or more functionalities of the application of the set of applications that is within the domain of interest; and provide the application metadata as input to the executable program, wherein the application metadata, at least in part, causes the one or more functionalities of the application to be made available via the executable program. 19. The system of claim 13 , wherein the ontology does not have a dependency on the domain-specific ontology.
| 0.625427 |
1. A method, comprising: selecting, based on a context relating to a domain of a regular expression, an ontology and an assertion base; parsing the regular expression to identify at least one fragment of the regular expression; identifying one or more assertions in the assertion base corresponding to one of the identified fragments; identifying, for each identified assertion, an associated node in the ontology; and returning, based on the associated nodes, a concept in the ontology as representing the associated fragment of the regular expression.
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1. A method, comprising: selecting, based on a context relating to a domain of a regular expression, an ontology and an assertion base; parsing the regular expression to identify at least one fragment of the regular expression; identifying one or more assertions in the assertion base corresponding to one of the identified fragments; identifying, for each identified assertion, an associated node in the ontology; and returning, based on the associated nodes, a concept in the ontology as representing the associated fragment of the regular expression. 6. The method of claim 1 , further comprising: identifying one or more terms in a knowledge base related to each of the returned concepts; and updating metadata of each identified term in the knowledge base to include the regular expression.
| 0.508108 |
1. A system for providing web domains classification based on progressive crawling with clustering, comprising: a processor configured to: distribute a first Uniform Resource Locator (URL) content categorization data feed to a first plurality of subscribers, comprising to: collect the first URL content categorization data feed based on progressive crawling with clustering to determine which category clusters to publish for each categorized web domain, comprising to: automatically classify content for a first web domain, comprising to: receive the first web domain from a first security device associated with one of the first plurality of subscribers, comprising to: crawl a plurality of pages in the first web domain; and determine a category for the plurality of pages in the first web domain, to group more than one page having the same category into a first cluster, comprising to: determine whether a number of the more than one page of the first cluster exceeds a first threshold; in the event that the number of the more than one page of the first cluster does not exceed the first threshold, select a new page within the web domain to crawl; and classify the new page; and send a classification determined for the content for the first web domain to the first security device associated with one of the first plurality of subscribers; and a memory coupled to the processor and configured to provide the processor with instructions.
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1. A system for providing web domains classification based on progressive crawling with clustering, comprising: a processor configured to: distribute a first Uniform Resource Locator (URL) content categorization data feed to a first plurality of subscribers, comprising to: collect the first URL content categorization data feed based on progressive crawling with clustering to determine which category clusters to publish for each categorized web domain, comprising to: automatically classify content for a first web domain, comprising to: receive the first web domain from a first security device associated with one of the first plurality of subscribers, comprising to: crawl a plurality of pages in the first web domain; and determine a category for the plurality of pages in the first web domain, to group more than one page having the same category into a first cluster, comprising to: determine whether a number of the more than one page of the first cluster exceeds a first threshold; in the event that the number of the more than one page of the first cluster does not exceed the first threshold, select a new page within the web domain to crawl; and classify the new page; and send a classification determined for the content for the first web domain to the first security device associated with one of the first plurality of subscribers; and a memory coupled to the processor and configured to provide the processor with instructions. 7. The system recited in claim 1 , wherein the automatically classifying of the content for the first web domain further comprises to: receive a second web domain from a second security device associated with one of the first plurality of subscribers; and send a classification determined for the content for the second web domain to the second security device associated with one of the first plurality of subscribers.
| 0.554027 |
2. The method of claim 1 further comprising: (f) creating a package; and, (g) making each of the classes created in operations (b) and (d) to be a member of the package.
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2. The method of claim 1 further comprising: (f) creating a package; and, (g) making each of the classes created in operations (b) and (d) to be a member of the package. 6. The method of claim 2 wherein the vocabulary has a name and wherein the method further comprises: associating the package with a name based on the name of the vocabulary.
| 0.959889 |
1. A system to process at least one document image comprising a plurality of text rows and a plurality of characters, each text row having at least one character, the system comprising: at least one processor; and a plurality of modules to execute on the at least one processor, the modules comprising: a character block creator to create character blocks for the characters in the text rows and to determine positions of alignments of the character blocks; and a classification system comprising: a subsets module to determine columns for the alignments of the character blocks at the positions of the alignments, each text row having a physical structure defined by the columns of the alignments of the character blocks in that text row, and to determine an initial subset of rows for each column; an optimum set module to determine an optimum set of columns for each initial subset of rows; a division module to: determine a final subset of rows for each initial subset of rows, each final subset of rows comprising at least one text row of a corresponding initial subset of rows having physical structures most similar to a corresponding optimum set when compared to physical structures of all text rows in the corresponding initial subset of rows; determine a confidence factor for each final subset of rows; and determine a best confidence factor for each particular text row in the at least one document image; and a classifier module to create at least one class of text rows, the at least one class comprising at least one particular text row having a same best confidence factor.
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1. A system to process at least one document image comprising a plurality of text rows and a plurality of characters, each text row having at least one character, the system comprising: at least one processor; and a plurality of modules to execute on the at least one processor, the modules comprising: a character block creator to create character blocks for the characters in the text rows and to determine positions of alignments of the character blocks; and a classification system comprising: a subsets module to determine columns for the alignments of the character blocks at the positions of the alignments, each text row having a physical structure defined by the columns of the alignments of the character blocks in that text row, and to determine an initial subset of rows for each column; an optimum set module to determine an optimum set of columns for each initial subset of rows; a division module to: determine a final subset of rows for each initial subset of rows, each final subset of rows comprising at least one text row of a corresponding initial subset of rows having physical structures most similar to a corresponding optimum set when compared to physical structures of all text rows in the corresponding initial subset of rows; determine a confidence factor for each final subset of rows; and determine a best confidence factor for each particular text row in the at least one document image; and a classifier module to create at least one class of text rows, the at least one class comprising at least one particular text row having a same best confidence factor. 2. The system of claim 1 wherein: the subsets module determines the initial subset of rows for each column having more than one character block aligned in that column in the text rows of the at least one document image, each initial subset of rows comprising one or more of the text rows of the at least one document image; and in the division module, each final subset of rows comprises at least one of the one or more text rows of the corresponding initial subset of rows having physical structures that are most similar to the corresponding optimum set when compared to physical structures of all of the one or more text rows in the corresponding initial subset of rows.
| 0.772216 |
20. One or more computer-readable non-transitory storage media embodying software that is configured when executed to: building a profile for the end user based on one or more learned preferences of the end user; receive a query, from the end user, for particular sensor data among a plurality of sensor data from a plurality of sensors, the received query comprising a unique resource locator that uniquely identifies a particular one of the plurality of sensors, the plurality of sensor data being indexed according to a multi-dimensional array, one or more first ones of the dimensions comprising time and one or more second ones of the dimensions comprising one or more pre-determined sensor-data attributes; translate the query to correspond to the indexing of the plurality of sensor data, the translated query comprising one or more values for one or more of the dimensions of the multi-dimensional array; append, based on the unique resource locator that identifies the particular one of the plurality of sensors in the query received from the end user, the unique resource locator to the translated query, the unique resource locator specifying the particular one of the plurality of sensors; communicate the translated query to search among the plurality of sensor data according to the indexing of the plurality of sensor data to identify sensor data associated with the particular one of the plurality of sensors; receive a list of matching sensor data; tailor the list of matching sensor data based on the user profile of the end user to provide a representation expected by the end user; receive query results comprising meta data associated with a subset of the plurality of sensors; select a particular one of the subset of sensors; and request the data available at the particular one of the subset of sensors.
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20. One or more computer-readable non-transitory storage media embodying software that is configured when executed to: building a profile for the end user based on one or more learned preferences of the end user; receive a query, from the end user, for particular sensor data among a plurality of sensor data from a plurality of sensors, the received query comprising a unique resource locator that uniquely identifies a particular one of the plurality of sensors, the plurality of sensor data being indexed according to a multi-dimensional array, one or more first ones of the dimensions comprising time and one or more second ones of the dimensions comprising one or more pre-determined sensor-data attributes; translate the query to correspond to the indexing of the plurality of sensor data, the translated query comprising one or more values for one or more of the dimensions of the multi-dimensional array; append, based on the unique resource locator that identifies the particular one of the plurality of sensors in the query received from the end user, the unique resource locator to the translated query, the unique resource locator specifying the particular one of the plurality of sensors; communicate the translated query to search among the plurality of sensor data according to the indexing of the plurality of sensor data to identify sensor data associated with the particular one of the plurality of sensors; receive a list of matching sensor data; tailor the list of matching sensor data based on the user profile of the end user to provide a representation expected by the end user; receive query results comprising meta data associated with a subset of the plurality of sensors; select a particular one of the subset of sensors; and request the data available at the particular one of the subset of sensors. 21. The media of claim 20 , wherein communicating the translated query comprises transmitting the query to a search engine that responds with a set of sensor data with substantially similar values for the one or more dimensions as the multidimensional array in the translated query.
| 0.605487 |
9. The computing system of claim 2 wherein the context identification system comprises: a calendar detector configured to access a calendar system and identify user interactions with the documents relative to calendar items of the user, wherein the relevancy generator is configured to generate the relevancy metric for the documents based on the identified user interactions with the documents relative to the calendar items.
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9. The computing system of claim 2 wherein the context identification system comprises: a calendar detector configured to access a calendar system and identify user interactions with the documents relative to calendar items of the user, wherein the relevancy generator is configured to generate the relevancy metric for the documents based on the identified user interactions with the documents relative to the calendar items. 10. The computing system of claim 9 wherein the calendar detector is configured to identify whether the user is interacting with the documents in temporal proximity to meetings or deadlines.
| 0.848837 |
1. A method for constructing extensible markup language (XML) transactions comprising an XML format run on a computer system, said method comprising: establishing an original pre-defined data type definition format for an XML transaction; creating a copy of said original pre-defined data type definition format for said XML transaction; pre-building static structures of said XML transaction, wherein said static structures comprise a pre-built XML data structure with pre-filled values based on a transaction type of said XML transaction and a predetermined trading partner profile; classifying dynamic structures of said XML transaction with empty tags and single occurrence classifiers for repeating dynamic structures; building a list of a sequence of said static and dynamic structures; linking said list to the XML transaction and said predetermined trading partner profile; combining said static structures with said dynamic structures at a runtime to construct said XML transaction based on said sequence, said XML transaction, said trading partner profile, and said dynamic structures of said XML transaction, wherein an occurrence of said runtime of said XML transaction occurs when said XML transaction is sent to a trading partner, wherein said combining comprises filling the empty tags of said dynamic structures; and constructing a final XML structure based on the combining process, wherein said final XML structure comprises fully built dynamic structures that comprise completely filled tags, and wherein said final XML structure is validated by comparing said final XML structure against said copy of said original pre-defined data type definition format for said XML transaction.
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1. A method for constructing extensible markup language (XML) transactions comprising an XML format run on a computer system, said method comprising: establishing an original pre-defined data type definition format for an XML transaction; creating a copy of said original pre-defined data type definition format for said XML transaction; pre-building static structures of said XML transaction, wherein said static structures comprise a pre-built XML data structure with pre-filled values based on a transaction type of said XML transaction and a predetermined trading partner profile; classifying dynamic structures of said XML transaction with empty tags and single occurrence classifiers for repeating dynamic structures; building a list of a sequence of said static and dynamic structures; linking said list to the XML transaction and said predetermined trading partner profile; combining said static structures with said dynamic structures at a runtime to construct said XML transaction based on said sequence, said XML transaction, said trading partner profile, and said dynamic structures of said XML transaction, wherein an occurrence of said runtime of said XML transaction occurs when said XML transaction is sent to a trading partner, wherein said combining comprises filling the empty tags of said dynamic structures; and constructing a final XML structure based on the combining process, wherein said final XML structure comprises fully built dynamic structures that comprise completely filled tags, and wherein said final XML structure is validated by comparing said final XML structure against said copy of said original pre-defined data type definition format for said XML transaction. 6. The method of claim 1 , further comprising filling said empty tags of said dynamic structures with business data values and building multiple repeating dynamic structures at runtime of said XML transaction.
| 0.544849 |
15. The computer system according to claim 14 , wherein the emotion categories comprise at least a lasting emotion category, a short-lived emotion category and a momentary emotion category.
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15. The computer system according to claim 14 , wherein the emotion categories comprise at least a lasting emotion category, a short-lived emotion category and a momentary emotion category. 17. The computer system according to claim 15 , wherein the validity time period of the short-lived emotion category is determined by a danger response index or a sensory input response index generated by the social response generator.
| 0.905784 |
1. An integrated circuit chip comprising programmable intelligent search memory for content search wherein said programmable intelligent search memory performs regular expression based search and wherein said regular expression comprises an interval symbol, said interval symbol comprises a symbol and further comprising a) a lower limit; b) an upper limit; or c) a combination thereof; the programmable intelligent search memory using one or more regular expressions, said one or more regular expressions comprising one or more symbols or characters, said one or more regular expressions further comprising one or more of said interval symbols, said one or more regular expressions converted into one or more finite state automata representing the functionality of said one or more regular expressions for programming in said programmable intelligent search memory, said one or more finite state automata comprising a plurality of states, said plurality of states derived from said one or more symbols or characters or said one or more interval symbols of said one or more regular expressions, said content comprising one or more input symbols provided as input to said programmable intelligent search memory, said programmable intelligent search memory comprising at least one of each of: a. a symbol memory circuit to store said one or more symbols; b. an interval symbol memory circuit to store said one or more interval symbols; c. an interval symbol evaluation circuit coupled to said interval symbol memory circuit to evaluate a match of said one or more interval symbols stored in said interval symbol memory circuit with said one or more symbols of said content; d. a symbol evaluation circuit coupled to said symbol memory circuit to evaluate a match of said one or more symbols stored in said symbol memory circuit with said one or more symbols of said content; e. a state dependent vector (SDV) memory circuit to store state transition controls for said one or more finite state automata; f. a current state vector memory (CSV) circuit to store said plurality of states; and g. a state transition circuit coupled to said symbol evaluation circuit, said interval symbol evaluation circuit, said current state vector memory circuit and said state dependent vector memory circuit to perform state transition from one or more first states to one or more second states of said plurality of states of said one or more finite state automata.
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1. An integrated circuit chip comprising programmable intelligent search memory for content search wherein said programmable intelligent search memory performs regular expression based search and wherein said regular expression comprises an interval symbol, said interval symbol comprises a symbol and further comprising a) a lower limit; b) an upper limit; or c) a combination thereof; the programmable intelligent search memory using one or more regular expressions, said one or more regular expressions comprising one or more symbols or characters, said one or more regular expressions further comprising one or more of said interval symbols, said one or more regular expressions converted into one or more finite state automata representing the functionality of said one or more regular expressions for programming in said programmable intelligent search memory, said one or more finite state automata comprising a plurality of states, said plurality of states derived from said one or more symbols or characters or said one or more interval symbols of said one or more regular expressions, said content comprising one or more input symbols provided as input to said programmable intelligent search memory, said programmable intelligent search memory comprising at least one of each of: a. a symbol memory circuit to store said one or more symbols; b. an interval symbol memory circuit to store said one or more interval symbols; c. an interval symbol evaluation circuit coupled to said interval symbol memory circuit to evaluate a match of said one or more interval symbols stored in said interval symbol memory circuit with said one or more symbols of said content; d. a symbol evaluation circuit coupled to said symbol memory circuit to evaluate a match of said one or more symbols stored in said symbol memory circuit with said one or more symbols of said content; e. a state dependent vector (SDV) memory circuit to store state transition controls for said one or more finite state automata; f. a current state vector memory (CSV) circuit to store said plurality of states; and g. a state transition circuit coupled to said symbol evaluation circuit, said interval symbol evaluation circuit, said current state vector memory circuit and said state dependent vector memory circuit to perform state transition from one or more first states to one or more second states of said plurality of states of said one or more finite state automata. 16. The integrated circuit chip of claim 1 , wherein the interval symbol evaluation circuit is coupled to said interval symbol memory circuit, said interval symbol memory circuit comprising: a. a count state low memory to store said lower limit of said interval symbol; b. a count state high memory to store said upper limit of said interval symbol; c. an interval symbol control vector memory to store a control vector to enable or disable a transition of said one or more finite state automata when said interval symbol is detected in said content; d. an interval counter to count the occurrences of said symbol of said interval symbol in said content; e. a transition detection circuit to detect when the value of said interval counter is 1) greater than or equal to the value stored in said count state low memory; or 2) less than or equal to the value stored in said count state high memory; or 3) a combination thereof; f. an interval state memory to store interval symbol state; g. a interval state transition circuit coupled to said interval counter, said interval state memory, said interval symbol control vector memory and said interval transition detection circuit to perform transition from said interval state to said one or more states of said finite state automaton; or h. a combination thereof.
| 0.513343 |
19. The apparatus of claim 17 , wherein the means for initializing a catheter electrode model in a first frame of a fluoroscopic image sequence based on input locations of a plurality of CS catheter electrodes in the first frame comprises: means for determining a number of CS catheter electrodes in the first frame; and means for decomposing the plurality of CS catheter electrodes into multiple parts if the number of CS catheter electrodes in the first frame is greater than a threshold; and means for initializing separate catheter electrode models in the first frame for the multiple parts, wherein the catheter electrode model initialized in the first frame comprises the separate catheter electrode models initialized for the multiple parts.
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19. The apparatus of claim 17 , wherein the means for initializing a catheter electrode model in a first frame of a fluoroscopic image sequence based on input locations of a plurality of CS catheter electrodes in the first frame comprises: means for determining a number of CS catheter electrodes in the first frame; and means for decomposing the plurality of CS catheter electrodes into multiple parts if the number of CS catheter electrodes in the first frame is greater than a threshold; and means for initializing separate catheter electrode models in the first frame for the multiple parts, wherein the catheter electrode model initialized in the first frame comprises the separate catheter electrode models initialized for the multiple parts. 20. The apparatus of claim 19 , wherein the means for decomposing the plurality of CS catheter electrodes into multiple parts comprises: means for splitting the CS catheter electrodes into multiple parts based on curvature of a spline representing the CS catheter.
| 0.904681 |
15. A non-transitory, tangible computer-readable medium having computer-executable code, when executed by a computer operable to: access an inverted index comprising a plurality of inverted index lists, each inverted index list corresponding to a term, each inverted index list comprising a term identifier of the term and one or more document identifiers indicating one or more documents of a document set in which the term appears; generating a plurality of ordered pairs from the inverted index, each ordered pair comprising a term identifier and a document identifier of an inverted index list, the ordered pairs being organized primarily based on the document identifiers of the ordered pairs; and generate a term identifier index according to the inverted index, the term identifier index comprising a plurality of sections, each section corresponding to a document, each section comprising one or more term identifiers of one or more terms that appear in the document, the generating the term identifier index according to the inverted index comprising organizing the term identifiers of the ordered pairs in the sections of the term identifier index, wherein organizing the term identifiers of the ordered pairs comprises: removing a selected ordered pair from a data structure; generating a next ordered pair from the inverted index, the next ordered pair comprising a term identifier equivalent to a term identifier of the selected ordered pair; and placing the next ordered pair into the data structure.
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15. A non-transitory, tangible computer-readable medium having computer-executable code, when executed by a computer operable to: access an inverted index comprising a plurality of inverted index lists, each inverted index list corresponding to a term, each inverted index list comprising a term identifier of the term and one or more document identifiers indicating one or more documents of a document set in which the term appears; generating a plurality of ordered pairs from the inverted index, each ordered pair comprising a term identifier and a document identifier of an inverted index list, the ordered pairs being organized primarily based on the document identifiers of the ordered pairs; and generate a term identifier index according to the inverted index, the term identifier index comprising a plurality of sections, each section corresponding to a document, each section comprising one or more term identifiers of one or more terms that appear in the document, the generating the term identifier index according to the inverted index comprising organizing the term identifiers of the ordered pairs in the sections of the term identifier index, wherein organizing the term identifiers of the ordered pairs comprises: removing a selected ordered pair from a data structure; generating a next ordered pair from the inverted index, the next ordered pair comprising a term identifier equivalent to a term identifier of the selected ordered pair; and placing the next ordered pair into the data structure. 16. The medium of claim 15 , the ordered pairs being organized secondarily based on the term identifiers of the ordered pairs.
| 0.885431 |
12. The computer-implemented method of claim 8 , further comprising determining at least one difference between at least two of the plurality of versions of the network resource.
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12. The computer-implemented method of claim 8 , further comprising determining at least one difference between at least two of the plurality of versions of the network resource. 18. The computer-implemented method of claim 12 , wherein the first object is at least partially transparent such that the second object is visible.
| 0.945064 |
11. The system of claim 10 , wherein when the difference between the another tag scores again does not exceed the first threshold value, the processing circuitry: averages the tag score and the another tag score for each of the one or more RFID tags to determine an average score for each of the one or more RFID tags; determines a difference between the highest average score and the second highest average score; compares the difference between the highest average score and the second highest average score to a second threshold value; and selects the RFID tag associated with the highest average score as the specific RFID tag based upon if the difference between the highest average score and the second highest average score exceeds the second threshold value.
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11. The system of claim 10 , wherein when the difference between the another tag scores again does not exceed the first threshold value, the processing circuitry: averages the tag score and the another tag score for each of the one or more RFID tags to determine an average score for each of the one or more RFID tags; determines a difference between the highest average score and the second highest average score; compares the difference between the highest average score and the second highest average score to a second threshold value; and selects the RFID tag associated with the highest average score as the specific RFID tag based upon if the difference between the highest average score and the second highest average score exceeds the second threshold value. 12. The system of claim 11 wherein the processing circuitry is further operable, if the difference between the highest average score and the second highest average score exceeds the second threshold value, to determine if the highest average score is greater than a minimum average score threshold.
| 0.619923 |
1. A non-transitory machine readable medium storing a program for execution by at least one processing unit, the program comprising sets of instructions for: receiving a document having a first format, the document stored as a stream representation comprising an ordered content stream and an object representation comprising a set of object nodes arranged in a tree structure, the object nodes referencing ranges of indices in the content stream; and converting an identified range of the document into a new format by recursively traversing the tree structure to identify nodes referencing indexes within the identified range and converting the identified nodes to the new format.
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1. A non-transitory machine readable medium storing a program for execution by at least one processing unit, the program comprising sets of instructions for: receiving a document having a first format, the document stored as a stream representation comprising an ordered content stream and an object representation comprising a set of object nodes arranged in a tree structure, the object nodes referencing ranges of indices in the content stream; and converting an identified range of the document into a new format by recursively traversing the tree structure to identify nodes referencing indexes within the identified range and converting the identified nodes to the new format. 3. The non-transitory machine readable medium of claim 1 , wherein the set of instructions for converting comprises a set of instructions for: receiving an object node that references a range within the identified range: outputting an initial output associated with the object node; when the object node is a parent of at least one object node, recursively traversing any child object nodes of the received object node; when the object node is not a parent of any object nodes, outputting content from the content stream at the range referenced by the object node; and upon returning from any recursive traversal of child nodes, outputting a final output associated with the object node.
| 0.554576 |
10. The apparatus of claim 9 , wherein to classify the first text content and the each reply text content, said processor is further configured to: extract emotional symbols from the text content of the first user and each of the reply text content of the other users, wherein the emotional symbols belong to a predefined symbol set; and extract emotional words from the text content of the first user and from each reply text content of the other users.
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10. The apparatus of claim 9 , wherein to classify the first text content and the each reply text content, said processor is further configured to: extract emotional symbols from the text content of the first user and each of the reply text content of the other users, wherein the emotional symbols belong to a predefined symbol set; and extract emotional words from the text content of the first user and from each reply text content of the other users. 11. The apparatus of claim 10 , wherein to classify the first text content and the each reply text content, said processor is further configured to: classify the emotional symbols and/or emotional words extracted from the first text content into corresponding emotion types from the predetermined set of emotion types as a first emotion type, and classifying the emotional symbols and/or emotional words extracted from each of the reply text content of the other users into corresponding second emotion types from the predetermined set of emotion types, wherein correspondence relations between the emotional symbols and/or emotional words and the emotion types are obtained by searching a database in which correspondence relations between the emotional symbols and/or emotional words and the emotion types are stored.
| 0.841393 |
6. The computer-readable storage media of claim 5 , wherein the translation component includes a content translator component and a structure translator component.
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6. The computer-readable storage media of claim 5 , wherein the translation component includes a content translator component and a structure translator component. 9. The computer-readable storage media of claim 6 , wherein the structure translator component includes a format identifier that recognizes a plurality of layout-related characteristics.
| 0.919313 |
14. A system for generating an index for a network search engine, the system comprising: a processor for executing: means for receiving monitored network traffic data monitored by a plurality of network devices including a first network device and a second network device, the plurality of network devices respectively receive and forward at least a part of the monitored network traffic data; means for determining data to be added to a search engine index using the monitored network traffic data; means for keeping track of access frequency of websites associated with Uniform Resource Locators (URLS) included in the monitored network traffic data; means for filtering to identify and remove at least one duplicate access to at least one of the websites from the monitored network traffic data to generate filtered monitored network traffic data, the filtering being based on a single source/destination in a single session and comprising: identifying a first access to a first URL, by identifying a first monitored network traffic data that is received from the first network device that indicates at least one packet as originated from a first network traffic source and destined for the first URL, identifying a second access to the first URL, by identifying a second monitored network traffic data that is received from the second network device that indicates at least one packet as originated from the first network traffic source and destined for the first URL, and removing the second access to the first URL responsive to an identification of the second access to the first URL as being performed within a predetermined time period after the first access to the first URL; means for including the filtered monitored network traffic data in the search engine index in search results responsive to a search request; and means for ranking websites included in the search results at least according to the access frequency of the websites.
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14. A system for generating an index for a network search engine, the system comprising: a processor for executing: means for receiving monitored network traffic data monitored by a plurality of network devices including a first network device and a second network device, the plurality of network devices respectively receive and forward at least a part of the monitored network traffic data; means for determining data to be added to a search engine index using the monitored network traffic data; means for keeping track of access frequency of websites associated with Uniform Resource Locators (URLS) included in the monitored network traffic data; means for filtering to identify and remove at least one duplicate access to at least one of the websites from the monitored network traffic data to generate filtered monitored network traffic data, the filtering being based on a single source/destination in a single session and comprising: identifying a first access to a first URL, by identifying a first monitored network traffic data that is received from the first network device that indicates at least one packet as originated from a first network traffic source and destined for the first URL, identifying a second access to the first URL, by identifying a second monitored network traffic data that is received from the second network device that indicates at least one packet as originated from the first network traffic source and destined for the first URL, and removing the second access to the first URL responsive to an identification of the second access to the first URL as being performed within a predetermined time period after the first access to the first URL; means for including the filtered monitored network traffic data in the search engine index in search results responsive to a search request; and means for ranking websites included in the search results at least according to the access frequency of the websites. 16. The system of claim 14 , wherein said means for determining the data to be added to the search engine index includes means for determining whether an older version of the data is already existing in the search engine index.
| 0.500504 |
1. A computer-implemented method implemented by one or more computing devices for automatically generating a naturally reading narrative product summary including assertions about a specific product selected by a user, said method comprising: determining, by at least one of the one or more computing devices, at least one attribute associated with said specific product, said at least one attribute including at least one of an attribute name, an attribute value, and an attribute unit; selecting, by at least one of the one or more computing devices, an alternative product based on said at least one attribute; and generating, by at least one of the one or more computing devices, a naturally reading narrative including assertions about the specific product and a recommendation of the alternative product.
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1. A computer-implemented method implemented by one or more computing devices for automatically generating a naturally reading narrative product summary including assertions about a specific product selected by a user, said method comprising: determining, by at least one of the one or more computing devices, at least one attribute associated with said specific product, said at least one attribute including at least one of an attribute name, an attribute value, and an attribute unit; selecting, by at least one of the one or more computing devices, an alternative product based on said at least one attribute; and generating, by at least one of the one or more computing devices, a naturally reading narrative including assertions about the specific product and a recommendation of the alternative product. 9. The method of claim 1 , wherein said at least one attribute is a plurality of attributes associated with said specific product and said alternative product, said method further comprising assigning importance ratings to each of said plurality of attributes.
| 0.546371 |
22. The method of claim 17 , wherein the method further comprises the step of: when the reputation score is better than the first predefined threshold and worse than the second predefined threshold, performing a third specified action.
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22. The method of claim 17 , wherein the method further comprises the step of: when the reputation score is better than the first predefined threshold and worse than the second predefined threshold, performing a third specified action. 24. The method of claim 22 , wherein the step of performing the third specified action comprises performing one or more filter operations on the message.
| 0.932405 |
1. A method of recommending a path comprising learning objects and learning vectors, the method comprising: automatically generating a learning object network, wherein generating the learning object network comprises: automatically receiving a plurality content objects from a plurality of data sources via a network at a processor, wherein each of the learning objects comprises an aggregation of learning content that is associated with an assessment; automatically generating a plurality of learning vectors connecting the plurality of content objects with the processor based on information received from a plurality of user devices, wherein each of the plurality of learning vectors connects two of the plurality of learning objects and identifies a prerequisite relationship between the connected two of the plurality of learning objects, wherein each of the plurality of learning vectors comprises a direction identifying the prerequisite relationship and a magnitude; and continuously updating the plurality of learning vectors based on signals received from one or several user devices identifying successes and failures in traversing the plurality of learning vectors; receiving at the processor an input from a student device via the network; automatically identifying a student user of the student device based on the received input and information retrieved from a student database; automatically retrieving information relating to a plurality of learning object networks; automatically identifying with the processor one of the plurality of learning object networks relevant to the student user of the student device; automatically identifying with a processor an incident learning object, wherein the incident learning object comprises an initial position of a student within the learning object network, wherein the incident learning object is identified by one of: a user input identifying the incident learning object, wherein the user comprises one of a teacher and the student user of the student device; and a student context, wherein the student context comprises the: student's learning history; and metadata identifying a student learning capability; automatically identifying with the processor a target learning object, wherein the target learning object is a learning object separated from the incident learning object by a plurality of learning vectors; automatically identifying with the processor a first path from the incident learning object to the target learning object, wherein the first path comprises a plurality of learning objects and a plurality of learning vectors connecting the incident learning object to the target learning object; automatically calculating with the processor the magnitude of the first path from the incident learning object to the target learning object, wherein calculating the magnitude of the first path from the incident learning object to the target learning object comprises: automatically varying the magnitudes of the plurality of learning vectors in the first and second path based on the student context; retrieving the magnitudes of the plurality of learning vectors in the first path; and calculating a combined magnitude of the first path; wherein retrieving the magnitudes of the plurality of learning vectors in the first path comprises: identifying a characteristic of the student, wherein the student characteristic is identified via a user input or via the student context; retrieving a learning vector context, wherein the learning vector context identifies magnitude data corresponding to aspects of the student context; and identifying magnitude data corresponding to the identified characteristic of the student; automatically identifying with the processor a second path from the incident learning object to the target learning object, wherein the second path comprises a plurality of learning objects and learning vectors connecting the incident learning object to the target learning object, wherein the second path comprises at least one learning object that is not in the first path automatically calculating with the processor the magnitude of the second path from the incident learning object to the target learning object; automatically comparing with the processor the magnitude of the first path to the magnitude of the second path; automatically providing one of the plurality of learning objects from the one of the first and second paths having the lesser magnitude to the student device, wherein the student device is remove from the processor; receiving an indicator of completion of the provided learning object; and automatically generating and sending a communication to the student device, wherein the communication comprises an enhancement object automatically triggered for providing to the student via a threshold, wherein the enhancement object is outside of the one of the first and second learning paths containing the provided learning object, and wherein the communication activates a user interface of the student device to provide the enhancement object to the user via a screen of the student device.
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1. A method of recommending a path comprising learning objects and learning vectors, the method comprising: automatically generating a learning object network, wherein generating the learning object network comprises: automatically receiving a plurality content objects from a plurality of data sources via a network at a processor, wherein each of the learning objects comprises an aggregation of learning content that is associated with an assessment; automatically generating a plurality of learning vectors connecting the plurality of content objects with the processor based on information received from a plurality of user devices, wherein each of the plurality of learning vectors connects two of the plurality of learning objects and identifies a prerequisite relationship between the connected two of the plurality of learning objects, wherein each of the plurality of learning vectors comprises a direction identifying the prerequisite relationship and a magnitude; and continuously updating the plurality of learning vectors based on signals received from one or several user devices identifying successes and failures in traversing the plurality of learning vectors; receiving at the processor an input from a student device via the network; automatically identifying a student user of the student device based on the received input and information retrieved from a student database; automatically retrieving information relating to a plurality of learning object networks; automatically identifying with the processor one of the plurality of learning object networks relevant to the student user of the student device; automatically identifying with a processor an incident learning object, wherein the incident learning object comprises an initial position of a student within the learning object network, wherein the incident learning object is identified by one of: a user input identifying the incident learning object, wherein the user comprises one of a teacher and the student user of the student device; and a student context, wherein the student context comprises the: student's learning history; and metadata identifying a student learning capability; automatically identifying with the processor a target learning object, wherein the target learning object is a learning object separated from the incident learning object by a plurality of learning vectors; automatically identifying with the processor a first path from the incident learning object to the target learning object, wherein the first path comprises a plurality of learning objects and a plurality of learning vectors connecting the incident learning object to the target learning object; automatically calculating with the processor the magnitude of the first path from the incident learning object to the target learning object, wherein calculating the magnitude of the first path from the incident learning object to the target learning object comprises: automatically varying the magnitudes of the plurality of learning vectors in the first and second path based on the student context; retrieving the magnitudes of the plurality of learning vectors in the first path; and calculating a combined magnitude of the first path; wherein retrieving the magnitudes of the plurality of learning vectors in the first path comprises: identifying a characteristic of the student, wherein the student characteristic is identified via a user input or via the student context; retrieving a learning vector context, wherein the learning vector context identifies magnitude data corresponding to aspects of the student context; and identifying magnitude data corresponding to the identified characteristic of the student; automatically identifying with the processor a second path from the incident learning object to the target learning object, wherein the second path comprises a plurality of learning objects and learning vectors connecting the incident learning object to the target learning object, wherein the second path comprises at least one learning object that is not in the first path automatically calculating with the processor the magnitude of the second path from the incident learning object to the target learning object; automatically comparing with the processor the magnitude of the first path to the magnitude of the second path; automatically providing one of the plurality of learning objects from the one of the first and second paths having the lesser magnitude to the student device, wherein the student device is remove from the processor; receiving an indicator of completion of the provided learning object; and automatically generating and sending a communication to the student device, wherein the communication comprises an enhancement object automatically triggered for providing to the student via a threshold, wherein the enhancement object is outside of the one of the first and second learning paths containing the provided learning object, and wherein the communication activates a user interface of the student device to provide the enhancement object to the user via a screen of the student device. 3. The method of claim 1 , wherein calculating the combined magnitude of the first path comprises calculating the sum of the magnitudes of the plurality of learning vectors in the first path.
| 0.568124 |
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