sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
0.99
|
|---|---|---|
12. The system of claim 10 , wherein generating a redacted document data collection comprises generating an obfuscated document data collection in which each fixed phrase that does not match a candidate phrase is obfuscated, and each fixed phrase that does match a candidate phrase is not obfuscated.
|
12. The system of claim 10 , wherein generating a redacted document data collection comprises generating an obfuscated document data collection in which each fixed phrase that does not match a candidate phrase is obfuscated, and each fixed phrase that does match a candidate phrase is not obfuscated. 13. The system of claim 12 , wherein generating, from the document data collection, the obfuscated document data collection comprises generating, for each fixed phrase that does not match a candidate phrase, a hash of the fixed phrase to obfuscate the fixed phrase.
| 0.932658 |
2. A method of identifying molecules represented by concatenated strings, said method comprising: i) encoding two or more biological molecules into a data structure of initial character strings to provide a collection of two or more different initial character strings, wherein each of the two or more biological molecules comprises at least 10 subunits; ii) selecting at least two substrings from said initial character strings; iii) concatenating the at least two selected substrings to form one or more product strings; and iv) obtaining one or more product biological molecules, wherein the one or more product biological molecules are encoded by one or more of the product strings having greater a predefined value of sequence identity with at least one initial string.
|
2. A method of identifying molecules represented by concatenated strings, said method comprising: i) encoding two or more biological molecules into a data structure of initial character strings to provide a collection of two or more different initial character strings, wherein each of the two or more biological molecules comprises at least 10 subunits; ii) selecting at least two substrings from said initial character strings; iii) concatenating the at least two selected substrings to form one or more product strings; and iv) obtaining one or more product biological molecules, wherein the one or more product biological molecules are encoded by one or more of the product strings having greater a predefined value of sequence identity with at least one initial string. 21. The method of claim 2 , wherein the product strings corresponding to the one or more product biological molecules have greater than 85% sequence identity with at least one of the initial character strings.
| 0.615452 |
6. The method of claim 1 wherein building the model comprises building a first sub-model and a second sub-model.
|
6. The method of claim 1 wherein building the model comprises building a first sub-model and a second sub-model. 7. The method of claim 6 wherein building the first sub-model comprises building a model to predict whether the terms of a given candidate term pair have a semantic relationship.
| 0.928626 |
10. A method for analyzing organizational entity performance, the method being performed by one or more processors of one or more computers and comprising: receiving data associated with a geographic region, the geographic region including a plurality of distinct merchant stores, wherein the received data is transformed into an object model using a schema map and an ontology, the object model comprising objects, properties and relationships; analyzing the object model to associate the received data with an organizational entity and to associate the received data with a plurality of sub-geographic regions of the geographic region; applying a prediction model to the plurality of sub-geographic regions using the object model to determine a predicted performance associated with the organizational entity; and providing a user interface that includes information associated with the predicted performance.
|
10. A method for analyzing organizational entity performance, the method being performed by one or more processors of one or more computers and comprising: receiving data associated with a geographic region, the geographic region including a plurality of distinct merchant stores, wherein the received data is transformed into an object model using a schema map and an ontology, the object model comprising objects, properties and relationships; analyzing the object model to associate the received data with an organizational entity and to associate the received data with a plurality of sub-geographic regions of the geographic region; applying a prediction model to the plurality of sub-geographic regions using the object model to determine a predicted performance associated with the organizational entity; and providing a user interface that includes information associated with the predicted performance. 15. The method of claim 10 further including receiving a placement of a hypothetical entity location of the organizational entity and wherein applying the prediction model further uses the placement of the hypothetical entity location to determine a predicted performance associated with the organization entity.
| 0.612177 |
11. A non-transitory machine-readable storage device comprising computer instructions which, responsive to being executed by a processor, cause the processor to perform operations comprising: detecting in a corrected text message an auto-correction of a target word of a group of words, the target word having a type; detecting an input command at a first communication device requesting a transmission of the corrected text message to a second communication device; responsive to the detecting of the input command, generating a correction alert for presentation at the first communication device indicating the target word that has been auto-corrected; and in response to the presenting of the correction alert, generating an option for presentation at the first communication device for modifying the target word, wherein the transmission of the corrected text message to the second communication device is limited to after the option for modifying is presented at the first communication device, and wherein a type of the correction alert corresponds to the type of the target word.
|
11. A non-transitory machine-readable storage device comprising computer instructions which, responsive to being executed by a processor, cause the processor to perform operations comprising: detecting in a corrected text message an auto-correction of a target word of a group of words, the target word having a type; detecting an input command at a first communication device requesting a transmission of the corrected text message to a second communication device; responsive to the detecting of the input command, generating a correction alert for presentation at the first communication device indicating the target word that has been auto-corrected; and in response to the presenting of the correction alert, generating an option for presentation at the first communication device for modifying the target word, wherein the transmission of the corrected text message to the second communication device is limited to after the option for modifying is presented at the first communication device, and wherein a type of the correction alert corresponds to the type of the target word. 12. The non-transitory machine-readable storage device of claim 11 , wherein the operations further comprise receiving provisioning information indicating a level of auto-correction to be applied for the second communication device and indicating types of alerts to be applied for contact entries stored by the first communication device, wherein the level of auto-correction includes selection from among libraries to be utilized during the auto-correction, wherein the auto-correction is according to the provisioning information, and wherein the presenting of the correction alert is according to a type of alert of the provisioning information that corresponds to the second communication device.
| 0.547074 |
1. A document processing apparatus comprising: an input device; a display device; a processor; a memory device which stores a plurality of instructions, which when executed by the processor, cause the processor to operate with the display device and the input device to: (a) detect video data designation information attached to electronic document data, the electronic document data including: (i) a first element having a first central activation value used to generate an index; (ii) a second element having a second central activation value used to generate said index; and (iii) read out audio attribute information; (b) generate a summary of said electronic document data, wherein said generation of said summary includes spreading said first central activation value to said second central activation value; (c) select video data in accordance with said detected video data designation information; (d) store a categorization model, the categorization model including a plurality of data categories; (e) create an automatic categorization based on any one of said video data and electronic document data in accordance with the categorization model; (f) update the categorization model with the automatic categorization; (g) control an output of said summary of said electronic document data such that said summary of said electronic data being output is automatically progressed based on at least one of a size of a display area and a length of time displayed; (h) control an output of said selected video data in correspondence with the output of said summary of said electronic document data such that said selected video data being output is output in synchronization with said progress of the said operation of outputting said summary of said electronic data; (i) control an output of a read out audio based on read out audio attribute information in said electronic document to synthesize said read out audio; and (j) automatically terminate the output of said video data upon completion of the outputting of said summary of said electronic document data regardless of whether an end of the video data has been reached.
|
1. A document processing apparatus comprising: an input device; a display device; a processor; a memory device which stores a plurality of instructions, which when executed by the processor, cause the processor to operate with the display device and the input device to: (a) detect video data designation information attached to electronic document data, the electronic document data including: (i) a first element having a first central activation value used to generate an index; (ii) a second element having a second central activation value used to generate said index; and (iii) read out audio attribute information; (b) generate a summary of said electronic document data, wherein said generation of said summary includes spreading said first central activation value to said second central activation value; (c) select video data in accordance with said detected video data designation information; (d) store a categorization model, the categorization model including a plurality of data categories; (e) create an automatic categorization based on any one of said video data and electronic document data in accordance with the categorization model; (f) update the categorization model with the automatic categorization; (g) control an output of said summary of said electronic document data such that said summary of said electronic data being output is automatically progressed based on at least one of a size of a display area and a length of time displayed; (h) control an output of said selected video data in correspondence with the output of said summary of said electronic document data such that said selected video data being output is output in synchronization with said progress of the said operation of outputting said summary of said electronic data; (i) control an output of a read out audio based on read out audio attribute information in said electronic document to synthesize said read out audio; and (j) automatically terminate the output of said video data upon completion of the outputting of said summary of said electronic document data regardless of whether an end of the video data has been reached. 5. The document processing apparatus of claim 1 , wherein said video data is still image data.
| 0.567775 |
6. The system of claim 3 , wherein one or more of the aspects of the user interface pertain to any of priority of fields, color contrast, whitespace, alignment, field labels, element labels, redundancy, tool tips, progress indicators, and display resolution.
|
6. The system of claim 3 , wherein one or more of the aspects of the user interface pertain to any of priority of fields, color contrast, whitespace, alignment, field labels, element labels, redundancy, tool tips, progress indicators, and display resolution. 8. The system of claim 6 , wherein one or more of the aspects of the user interface pertain to use of redundant headers in at least one of tables and sections of the user interface.
| 0.969772 |
1. A circuit for receiving and responding to digital bit signals, the circuit comprising: an input stage comprising first and second MOS detector transistors each having a gate, a source and a drain with their gates connected in common to the drain of the first transistor, the sources of the transistors being connected respectively to a first rail and to an input terminal for receiving the digital bit signals; first and second MOS transistors connected as controlled current sources respectively to the drains of the first and second detector transistors, a first small capacitor connected between the drain of the first detector transistor and the first rail, a second capacitor connected between the drain of the second detector transistor and the first rail, the voltage across the second capacitor in the absence of an incoming signal being substantially different from the voltage across the first capacitor; and at least one amplifier stage of a p-channel field effect transistor (FET) and an n-channel FET series connected with common gate input and common drain output, the common gate input of the stage being connected in parallel with the second small capacitor, the output of the amplifier stage switching between the first rail and a second rail potential when the voltage across the second capacitor changes sufficiently in response to the microwave signal such that the output of the amplifier stage produces binary "0" and "1" bits in accordance with the signals.
|
1. A circuit for receiving and responding to digital bit signals, the circuit comprising: an input stage comprising first and second MOS detector transistors each having a gate, a source and a drain with their gates connected in common to the drain of the first transistor, the sources of the transistors being connected respectively to a first rail and to an input terminal for receiving the digital bit signals; first and second MOS transistors connected as controlled current sources respectively to the drains of the first and second detector transistors, a first small capacitor connected between the drain of the first detector transistor and the first rail, a second capacitor connected between the drain of the second detector transistor and the first rail, the voltage across the second capacitor in the absence of an incoming signal being substantially different from the voltage across the first capacitor; and at least one amplifier stage of a p-channel field effect transistor (FET) and an n-channel FET series connected with common gate input and common drain output, the common gate input of the stage being connected in parallel with the second small capacitor, the output of the amplifier stage switching between the first rail and a second rail potential when the voltage across the second capacitor changes sufficiently in response to the microwave signal such that the output of the amplifier stage produces binary "0" and "1" bits in accordance with the signals. 3. The circuit of claim 1 wherein the first and second detector transistors each have a gate width of roughly 40 microns and are closely matched to each other, the first and second capacitors are stray capacitances, and the current through the second detector transistor is somewhat higher than that through the first detector transistor.
| 0.5 |
22. The article of claim 20 , wherein the identifying step further comprises cataloging relevant information about the MQT as the source of statistics.
|
22. The article of claim 20 , wherein the identifying step further comprises cataloging relevant information about the MQT as the source of statistics. 24. The article of claim 22 , further comprising cataloging a characterization of a type of statistics provided by the MQT when the MQT is identified as a source for the statistics.
| 0.861041 |
10. A computing system, comprising: at least one processor; a module stored on a non-transitory computer readable medium including instructions that when executed by the at least one processor cause the at least one processor to: receive a query data point q for classification, wherein the query data point q represents attributes of a user that has accessed a website over a network using a remote computing device; select an arbiter point to perform classification of the query data point q; access a first set of classified data points belonging to a first known classification, wherein the first set of classified data points is based upon first responses to a first type of content by users associated with the first known classification; for the first set of classified data points: for one or more data points in the first set, select a classified data point x c from the first set belonging to the first known classification to form a data point pair (q, x c ) with the query data point q; calculate a tripoint arbitration coefficient for the data point pair based, at least in part, on a first distance between the query data point q and the classified data point x c , a second distance between the query data point q and the arbiter point, and a third distance between the classified data point x c and the arbiter point; and determine a first class-aggregated similarity metric for the query data point q with respect to the first known classification of the first set based, at least in part, on the tripoint arbitration coefficients for data point pairs that include the query data point q and the classified data point x c in the first set, as calculated using the arbiter point; and repeating the selecting, the calculating, and the determining for the query data point q using one or more data points in a second set of classified data points belonging to a second known classification to determine a second class-aggregated similarity metric for the query data point q as being similar to the second known classification, wherein the second set of classified data points is based upon second responses to the first type of content by users associated with the second known classification; classify the user based on at least the query data point q as belonging to the first known classification corresponding to the first responses or the second known classification corresponding to the second responses based on a comparison of the first class-aggregated similarity metric and the second class-aggregated similarity metric of the query data point q; select content from a set of content based on whether the user is classified as belonging to the first known classification corresponding to the first responses or the second known classification corresponding to the second responses, wherein the selected content is for rendering by the website; and transmit the selected content over the network to the remote computing device to render through the website on a display of the remote computing device.
|
10. A computing system, comprising: at least one processor; a module stored on a non-transitory computer readable medium including instructions that when executed by the at least one processor cause the at least one processor to: receive a query data point q for classification, wherein the query data point q represents attributes of a user that has accessed a website over a network using a remote computing device; select an arbiter point to perform classification of the query data point q; access a first set of classified data points belonging to a first known classification, wherein the first set of classified data points is based upon first responses to a first type of content by users associated with the first known classification; for the first set of classified data points: for one or more data points in the first set, select a classified data point x c from the first set belonging to the first known classification to form a data point pair (q, x c ) with the query data point q; calculate a tripoint arbitration coefficient for the data point pair based, at least in part, on a first distance between the query data point q and the classified data point x c , a second distance between the query data point q and the arbiter point, and a third distance between the classified data point x c and the arbiter point; and determine a first class-aggregated similarity metric for the query data point q with respect to the first known classification of the first set based, at least in part, on the tripoint arbitration coefficients for data point pairs that include the query data point q and the classified data point x c in the first set, as calculated using the arbiter point; and repeating the selecting, the calculating, and the determining for the query data point q using one or more data points in a second set of classified data points belonging to a second known classification to determine a second class-aggregated similarity metric for the query data point q as being similar to the second known classification, wherein the second set of classified data points is based upon second responses to the first type of content by users associated with the second known classification; classify the user based on at least the query data point q as belonging to the first known classification corresponding to the first responses or the second known classification corresponding to the second responses based on a comparison of the first class-aggregated similarity metric and the second class-aggregated similarity metric of the query data point q; select content from a set of content based on whether the user is classified as belonging to the first known classification corresponding to the first responses or the second known classification corresponding to the second responses, wherein the selected content is for rendering by the website; and transmit the selected content over the network to the remote computing device to render through the website on a display of the remote computing device. 15. The computing system of claim 10 , wherein the set of arbiter points comprises one or more data points not belonging to the first set of classified data points or the second set of classified data points.
| 0.634574 |
12. A computer-implemented method comprising: receiving a pattern language code having definitions of a number of classes, wherein a definition of a first class of the number of classes includes references to a first key and a second key field, wherein a definition of a second class of the number of classes includes references to a third and a fourth key field, wherein a definition of a third class includes references to a fifth and a sixth key field, wherein a definition of a fourth class includes references to a Seventh and an eighth key field, wherein the first, fifth, and seventh key fields all reference an external object A, wherein the second, fourth, and sixth key fields all reference an external object B, wherein the third key field references an external object C, wherein the eighth key field references an external object D, wherein the first and the seventh key fields establish an extends relationship between the first and fourth classes, and wherein the second and fourth key fields establish an extends relationship between the first and second classes; and compiling the pattern language code to generate an executable, wherein the compiling includes validating the extends relationships between the first and second classes and the first and fourth classes, and replacing the first class with one of the second or fourth classes while compiling; wherein the extends relationship defines a relationship where the second and fourth classes extend the functionality of the first class in the compiled code, and wherein the first class includes characteristics not included in the second and fourth classes and the second and fourth classes include characteristic not included in the first class.
|
12. A computer-implemented method comprising: receiving a pattern language code having definitions of a number of classes, wherein a definition of a first class of the number of classes includes references to a first key and a second key field, wherein a definition of a second class of the number of classes includes references to a third and a fourth key field, wherein a definition of a third class includes references to a fifth and a sixth key field, wherein a definition of a fourth class includes references to a Seventh and an eighth key field, wherein the first, fifth, and seventh key fields all reference an external object A, wherein the second, fourth, and sixth key fields all reference an external object B, wherein the third key field references an external object C, wherein the eighth key field references an external object D, wherein the first and the seventh key fields establish an extends relationship between the first and fourth classes, and wherein the second and fourth key fields establish an extends relationship between the first and second classes; and compiling the pattern language code to generate an executable, wherein the compiling includes validating the extends relationships between the first and second classes and the first and fourth classes, and replacing the first class with one of the second or fourth classes while compiling; wherein the extends relationship defines a relationship where the second and fourth classes extend the functionality of the first class in the compiled code, and wherein the first class includes characteristics not included in the second and fourth classes and the second and fourth classes include characteristic not included in the first class. 13. The computer-implemented method of claim 12 , wherein the external object C is in an ontological relationship with the external object A in order to establish a surrogate relationship, wherein compiling the pattern language code includes validating the surrogate relationship between the first and second classes and the second and third classes, and wherein the surrogate relationship defines a relationship where the second class can functionally replace the first or third classes in the compiled code.
| 0.5 |
12. The method of claim 11 , further comprising automatically gathering data associated with the entity based on, at least in part, an objective, goal, mission, task, or purpose of the entity.
|
12. The method of claim 11 , further comprising automatically gathering data associated with the entity based on, at least in part, an objective, goal, mission, task, or purpose of the entity. 13. The method of claim 12 , further comprising automatically gathering the data associated with the entity from a plurality of sources.
| 0.955909 |
1. A communications device having a multimodal user interface offering a user a choice of input modalities, comprising a speech interface for accessing a speech recognizer, and a graphical user interface, and comprising means for dynamically switching between a foreground state of a speech interface and a background state of a speech interface in accordance with a users input modality.
|
1. A communications device having a multimodal user interface offering a user a choice of input modalities, comprising a speech interface for accessing a speech recognizer, and a graphical user interface, and comprising means for dynamically switching between a foreground state of a speech interface and a background state of a speech interface in accordance with a users input modality. 6. A device according to claim 1 wherein, in the foreground state, audio prompts comprising one of speech prompts, earcons, and both speech prompts and earcons are implemented and full speech based error recovery is implemented, and in the background state, audio prompts comprising earcons replacing speech prompts, and no speech based error recovery are implemented.
| 0.553571 |
1. An apparatus suitable for simultaneously displaying multiple documents, said apparatus comprising: a display device; memory means comprising a plurality of documents, each said document comprising one or more associated attributes stored internally to said document; processor means coupled with said memory means and with said display device, said processor means for displaying a plurality of document display outlines in a workspace, each said document display outline corresponding to one said document; and document rendering means coupled with said memory means, for rendering each said document within a corresponding said document display outline, said document rendering means responsive to said document attributes for restricting a view of said selected document in said workspace by selectively defining a contiguous portion of said corresponding document for display within said corresponding document display outline.
|
1. An apparatus suitable for simultaneously displaying multiple documents, said apparatus comprising: a display device; memory means comprising a plurality of documents, each said document comprising one or more associated attributes stored internally to said document; processor means coupled with said memory means and with said display device, said processor means for displaying a plurality of document display outlines in a workspace, each said document display outline corresponding to one said document; and document rendering means coupled with said memory means, for rendering each said document within a corresponding said document display outline, said document rendering means responsive to said document attributes for restricting a view of said selected document in said workspace by selectively defining a contiguous portion of said corresponding document for display within said corresponding document display outline. 5. The apparatus of claim 1 wherein said processor means displays said document display outlines in a tiled arrangement.
| 0.690104 |
8. A computer-readable medium having stored thereon computer-executable instructions that, when executed by a computer, cause the computer to perform a process comprising: associating each of at least one search concept with at least key phrase and at least one website; for each of at least one query identifying at least one search concept assigning a popularity value to each of the at least one search concept by determining a number of times a query associated with that search concept has occurred; determining a relative popularity measure of each search concept by for each search concept dividing a function of popularity points attributed to the search concept by a function of popularity points attributed to a most popular search concept; determining a preferred search query for each search concept by selecting a key phrase that is unique to that concept and which has a greatest popularity value as compared to other unique key phrases for the search concept; receiving a user query; determining at least one key phrase associated with the user query; and, displaying at least one of at least one search concept and at least one website associated with each of the key phrases associated with the user query based upon the popularity value, the relative popularity measure and the preferred search query for each search concept.
|
8. A computer-readable medium having stored thereon computer-executable instructions that, when executed by a computer, cause the computer to perform a process comprising: associating each of at least one search concept with at least key phrase and at least one website; for each of at least one query identifying at least one search concept assigning a popularity value to each of the at least one search concept by determining a number of times a query associated with that search concept has occurred; determining a relative popularity measure of each search concept by for each search concept dividing a function of popularity points attributed to the search concept by a function of popularity points attributed to a most popular search concept; determining a preferred search query for each search concept by selecting a key phrase that is unique to that concept and which has a greatest popularity value as compared to other unique key phrases for the search concept; receiving a user query; determining at least one key phrase associated with the user query; and, displaying at least one of at least one search concept and at least one website associated with each of the key phrases associated with the user query based upon the popularity value, the relative popularity measure and the preferred search query for each search concept. 10. The computer-readable medium of claim 8 , wherein assigning the popularity value further comprises: updating the respective popularity values of two or more of the search concepts when a plurality of different query phrases match one of a plurality of key phrases associated with the two or more search concepts, wherein the respective popularity values are updated in a manner proportional to the number of times the query phrase has occurred.
| 0.5 |
1. A computing device for handling spoken requests, the computing device comprising: an audio sensor; a training module to: prompt a user of the computing device for a plurality of neutral scripted requests; capture a first audio signal from the audio sensor comprising the plurality of neutral scripted requests by converting audio from the user from analog to digital format; prompt the user for a plurality of emotional scripted requests; capture a second audio signal from the audio sensor comprising the plurality of emotional scripted requests by converting audio from the user from analog to digital format; identify emotional features of each of the plurality of neutral scripted requests and each of the plurality of emotional scripted requests; and update a baseline emotional feature of a vocal pattern database based on the plurality of neutral scripted requests and the plurality of emotional scripted requests and the identified emotional features of each of the plurality of neutral scripted requests and the plurality of emotional scripted requests; a request analysis module to: receive a user request, the user request to represent a natural language request spoken by the user of the computing device; determine one or more audio features of the user request, wherein the one or more audio features comprises at least one of frequency, amplitude, or timbre; and identify an emotional feature of the user request, the emotional feature comprising a vocal pattern characteristic of the user request associated with one or more human emotions and the one or more audio features of the user request; an emotion recognition module to: compare the identified emotional feature to the baseline emotional feature of the vocal pattern database; and estimate an emotional state of the user request based on the comparison of the identified emotional feature to the baseline feature; and an output module to modulate a natural language response to the user request as a function of the emotional state and the vocal pattern database.
|
1. A computing device for handling spoken requests, the computing device comprising: an audio sensor; a training module to: prompt a user of the computing device for a plurality of neutral scripted requests; capture a first audio signal from the audio sensor comprising the plurality of neutral scripted requests by converting audio from the user from analog to digital format; prompt the user for a plurality of emotional scripted requests; capture a second audio signal from the audio sensor comprising the plurality of emotional scripted requests by converting audio from the user from analog to digital format; identify emotional features of each of the plurality of neutral scripted requests and each of the plurality of emotional scripted requests; and update a baseline emotional feature of a vocal pattern database based on the plurality of neutral scripted requests and the plurality of emotional scripted requests and the identified emotional features of each of the plurality of neutral scripted requests and the plurality of emotional scripted requests; a request analysis module to: receive a user request, the user request to represent a natural language request spoken by the user of the computing device; determine one or more audio features of the user request, wherein the one or more audio features comprises at least one of frequency, amplitude, or timbre; and identify an emotional feature of the user request, the emotional feature comprising a vocal pattern characteristic of the user request associated with one or more human emotions and the one or more audio features of the user request; an emotion recognition module to: compare the identified emotional feature to the baseline emotional feature of the vocal pattern database; and estimate an emotional state of the user request based on the comparison of the identified emotional feature to the baseline feature; and an output module to modulate a natural language response to the user request as a function of the emotional state and the vocal pattern database. 8. The computing device of claim 1 , further comprising a response generation module to determine the natural language response as a function of the emotional state of the user request.
| 0.537591 |
9. A non-transitory computer program product for inputting a textual model having a plurality of elements, the non-transitory computer program product including instructions for causing a computer to implement a method, the method comprising: parsing through the textual model for the plurality of elements; searching for at least one of an element semantic definition, one or more element view definitions corresponding to a semantic definition, and an element view containing diagram definition within the textual model for each of the plurality of elements; generating element reference nodes as placeholders for placement on an internally constructed custom tree; attaching a listener to each of the element reference nodes, wherein the listener is configured to await population of the element reference node with an equivalent unified modeling language semantic element, wherein a listener awaiting population is an awaiting sequenced listener; completing an inheritance hierarchy between the element reference nodes up to a parent node inferred from the diagramming definitions; and resolving awaiting sequenced listeners that are made aware of an awaited unified modeling language value, including dynamically resolving views prior to semantic completion.
|
9. A non-transitory computer program product for inputting a textual model having a plurality of elements, the non-transitory computer program product including instructions for causing a computer to implement a method, the method comprising: parsing through the textual model for the plurality of elements; searching for at least one of an element semantic definition, one or more element view definitions corresponding to a semantic definition, and an element view containing diagram definition within the textual model for each of the plurality of elements; generating element reference nodes as placeholders for placement on an internally constructed custom tree; attaching a listener to each of the element reference nodes, wherein the listener is configured to await population of the element reference node with an equivalent unified modeling language semantic element, wherein a listener awaiting population is an awaiting sequenced listener; completing an inheritance hierarchy between the element reference nodes up to a parent node inferred from the diagramming definitions; and resolving awaiting sequenced listeners that are made aware of an awaited unified modeling language value, including dynamically resolving views prior to semantic completion. 11. The computer program product as claimed in claim 9 wherein the method further comprises in response to encountering the element semantic definition, setting a unified modeling language value in the element reference node.
| 0.552397 |
1. An electronic teaching system comprising: (a) at least two learning centers having a plurality of participant alpha-numeric terminals, each with a common computer and a common communication control unit; (b) a group leader terminal, located within a teacher's center, wherein the group leader terminal includes a keyboard, screen, memory and logic means for displaying multi-character response information from the memory onto the screen; (c) communication distribution means within the teacher's center for communicating with learning centers via a plurality of communication channels; (d) a transmission buffer within the memory of the common computers in the learning centers for continuously transmitting the multi-character responses, and adapted for storing at least the keystrokes of all the participant terminals in the relevant learning center together with terminal identifying information for the keystrokes for at least the time period between successive communications from the communication distribution means; (e) means in the communication channels for transmitting the information from each transmission buffer to the memory of the group leader terminal, the information then being displayed on the screen of the group leader terminal, contemporaneously with the multi-character responses being entered at the participant terminals; and (f) social mode means for coordinating participant terminals within the learning centers to collectively respond to a particular question indicated by the group leader terminal.
|
1. An electronic teaching system comprising: (a) at least two learning centers having a plurality of participant alpha-numeric terminals, each with a common computer and a common communication control unit; (b) a group leader terminal, located within a teacher's center, wherein the group leader terminal includes a keyboard, screen, memory and logic means for displaying multi-character response information from the memory onto the screen; (c) communication distribution means within the teacher's center for communicating with learning centers via a plurality of communication channels; (d) a transmission buffer within the memory of the common computers in the learning centers for continuously transmitting the multi-character responses, and adapted for storing at least the keystrokes of all the participant terminals in the relevant learning center together with terminal identifying information for the keystrokes for at least the time period between successive communications from the communication distribution means; (e) means in the communication channels for transmitting the information from each transmission buffer to the memory of the group leader terminal, the information then being displayed on the screen of the group leader terminal, contemporaneously with the multi-character responses being entered at the participant terminals; and (f) social mode means for coordinating participant terminals within the learning centers to collectively respond to a particular question indicated by the group leader terminal. 2. The system of claim 1, wherein one of the learning centers with a multiplicity of participant terminals is remotely located from the teacher's center.
| 0.573141 |
47. A combination as defined in claim 46, wherein the data characteristic statistics generated by the interrogation processor include a frequency distribution of characters found in the scanned record, a rate of occurrence for each character in the frequency distribution, and an entropy value; and the interrogation processor further comprises: means for completing a stabilization procedure comprising repeating the steps of selecting a current record block for scanning and generating a current set of the data characteristic statistics, selecting a new record block, different from the current block, for scanning and generating a new set of the data characteristic statistics, and comparing the current set of statistics to the new set of statistics, until the entropy value of the new set is below a predetermined entropy threshold and the number of scanned record blocks equals a predetermined scanning limit value, and thereupon storing the new block in an interrogation buffer and storing the set of new data characteristic statistics.
|
47. A combination as defined in claim 46, wherein the data characteristic statistics generated by the interrogation processor include a frequency distribution of characters found in the scanned record, a rate of occurrence for each character in the frequency distribution, and an entropy value; and the interrogation processor further comprises: means for completing a stabilization procedure comprising repeating the steps of selecting a current record block for scanning and generating a current set of the data characteristic statistics, selecting a new record block, different from the current block, for scanning and generating a new set of the data characteristic statistics, and comparing the current set of statistics to the new set of statistics, until the entropy value of the new set is below a predetermined entropy threshold and the number of scanned record blocks equals a predetermined scanning limit value, and thereupon storing the new block in an interrogation buffer and storing the set of new data characteristic statistics. 66. A combination as defined in claim 47, wherein the interrogation processor further includes: (b)(1) means for selecting a sample block from the dataset being compressed by the system-built dictionary as the dataset is recorded to the external storage; (b)(2) means for scanning the selected sample block and applying the system-built dictionary to the sample block and generating data characteristic statistics relating to the sample block data and the data compression outcome; and (b)(3) means for comparing the statistics from the selected sample with statistics from one of the statistics from the dataset.
| 0.785854 |
1. A system comprising: at least one data store configured to maintain profiles of all members, a unstructured data of each of the members, historical data, and a rank model; and at least one server computer that together is configured to: receive from a client device a job posting submitted by a client; receive from a plurality of contractor devices a plurality of proposals submitted by a plurality of contractors regarding the job posting; in response to receiving the plurality of proposals, access the at least one data store to retrieve the unstructured data that is specific to the client and to retrieve the profiles associated with the plurality of contractors who submitted the plurality of proposals; dynamically determine, based on the unstructured data that is specific to the client, a set of parameters that is only pertinent to the client and is to be used by the rank model; for each of the plurality of contractors, determine, based on the rank model using the set of parameters that is only pertinent to the client and based on the profile for a corresponding contractor, a rank score comprising a set of factor scores; and present an ordered listing of the contractors according to the rank scores; and implement a mapping engine configured to: access the at least one data store to retrieve the historical data; and for each of the plurality of contractors, compare the set of factor scores associated with the corresponding contractor to past sets of factor scores that are part of the historical data to determine, based on associated data that are part of the historical data and that are regarding whether respective service providers for the past sets of factor scores had been awarded jobs, a percentage of likelihood of being selected for having the set of factor scores and to, thereby, map the corresponding contractor to one of at least two levels based on the determined percentage of likelihood of being selected.
|
1. A system comprising: at least one data store configured to maintain profiles of all members, a unstructured data of each of the members, historical data, and a rank model; and at least one server computer that together is configured to: receive from a client device a job posting submitted by a client; receive from a plurality of contractor devices a plurality of proposals submitted by a plurality of contractors regarding the job posting; in response to receiving the plurality of proposals, access the at least one data store to retrieve the unstructured data that is specific to the client and to retrieve the profiles associated with the plurality of contractors who submitted the plurality of proposals; dynamically determine, based on the unstructured data that is specific to the client, a set of parameters that is only pertinent to the client and is to be used by the rank model; for each of the plurality of contractors, determine, based on the rank model using the set of parameters that is only pertinent to the client and based on the profile for a corresponding contractor, a rank score comprising a set of factor scores; and present an ordered listing of the contractors according to the rank scores; and implement a mapping engine configured to: access the at least one data store to retrieve the historical data; and for each of the plurality of contractors, compare the set of factor scores associated with the corresponding contractor to past sets of factor scores that are part of the historical data to determine, based on associated data that are part of the historical data and that are regarding whether respective service providers for the past sets of factor scores had been awarded jobs, a percentage of likelihood of being selected for having the set of factor scores and to, thereby, map the corresponding contractor to one of at least two levels based on the determined percentage of likelihood of being selected. 8. The system of claim 1 , wherein the ordered listing of the contractors includes the mapping of each contractor.
| 0.628805 |
14. A method comprising: causing a precursor to be defined as one or more words; receiving text input data; causing the text input data to be displayed; referencing a dictionary containing a plurality of entries, each said entry including an index and a candidate word; selecting, from the dictionary, a list of n-number of candidate words whose index matches the precursor, where n≧1; either: in an instance in which m>n and the precursor comprises two or more words: causing n-number of candidate words from said list of candidate words to be displayed, causing the precursor to be shortened by causing one or more words to be deleted from the precursor, selecting a supplemental list of candidate words from said dictionary whose index matches the shortened precursor, and causing m−n number or less of said supplemental candidate words to be displayed; or, in an instance in which n>m: causing the precursor to be lengthened by causing one or more words to be added to the precursor, selecting an alternate list of candidate words from said dictionary whose index matches the lengthened precursor, and causing m-number or less of candidate words from the alternate list to be displayed; and causing a prompt to be displayed, the prompt enabling a user to either select one of the displayed candidate words or enter a desired word; wherein m comprises a maximum number of candidate words capable of being caused to be displayed.
|
14. A method comprising: causing a precursor to be defined as one or more words; receiving text input data; causing the text input data to be displayed; referencing a dictionary containing a plurality of entries, each said entry including an index and a candidate word; selecting, from the dictionary, a list of n-number of candidate words whose index matches the precursor, where n≧1; either: in an instance in which m>n and the precursor comprises two or more words: causing n-number of candidate words from said list of candidate words to be displayed, causing the precursor to be shortened by causing one or more words to be deleted from the precursor, selecting a supplemental list of candidate words from said dictionary whose index matches the shortened precursor, and causing m−n number or less of said supplemental candidate words to be displayed; or, in an instance in which n>m: causing the precursor to be lengthened by causing one or more words to be added to the precursor, selecting an alternate list of candidate words from said dictionary whose index matches the lengthened precursor, and causing m-number or less of candidate words from the alternate list to be displayed; and causing a prompt to be displayed, the prompt enabling a user to either select one of the displayed candidate words or enter a desired word; wherein m comprises a maximum number of candidate words capable of being caused to be displayed. 23. A computer program product comprising a non-transitory computer-readable medium storing program code configured to, upon execution, cause an apparatus comprising a processor to perform the method according to claim 14 when the program code is executed by the processor.
| 0.673474 |
1. A computer-implemented method for searching data, the method comprising: gathering, using a computing device, a stream of data from an information processing environment; separating the stream of data into a plurality of events, each event including a respective portion of the stream of data; for each event of the plurality of events, determining an associated time stamp representing a time for the event; wherein determining the associated time stamp for an event of the plurality of events comprises time information to use in the time stamp from known times corresponding to portions of the stream of data surrounding the portion of the stream of data included in the event; assigning each event of the plurality of events to a bucket having an associated time range that includes the time represented by the time stamp for the event; receiving a search query that includes a time criterion and a second criterion for selection of events, the second criterion relating to a segment within the events, the segment identified by an extraction rule for extracting a subportion of data from the portion of the stream of data included in an event, the extraction rule using a pattern to identify boundaries of the subportion of data being extracted; identifying one or more buckets that each have an associated time range, at least one time in each associated time range satisfying the time criterion; based on examining events only in the identified one or more buckets, identifying a set of events that match the time criterion and have a segment that matches the second criterion; determining a result based on the set of events; and causing the result to be displayed.
|
1. A computer-implemented method for searching data, the method comprising: gathering, using a computing device, a stream of data from an information processing environment; separating the stream of data into a plurality of events, each event including a respective portion of the stream of data; for each event of the plurality of events, determining an associated time stamp representing a time for the event; wherein determining the associated time stamp for an event of the plurality of events comprises time information to use in the time stamp from known times corresponding to portions of the stream of data surrounding the portion of the stream of data included in the event; assigning each event of the plurality of events to a bucket having an associated time range that includes the time represented by the time stamp for the event; receiving a search query that includes a time criterion and a second criterion for selection of events, the second criterion relating to a segment within the events, the segment identified by an extraction rule for extracting a subportion of data from the portion of the stream of data included in an event, the extraction rule using a pattern to identify boundaries of the subportion of data being extracted; identifying one or more buckets that each have an associated time range, at least one time in each associated time range satisfying the time criterion; based on examining events only in the identified one or more buckets, identifying a set of events that match the time criterion and have a segment that matches the second criterion; determining a result based on the set of events; and causing the result to be displayed. 5. The method of claim 1 , wherein gathering the stream of data comprises employing a script to collect the stream of data and deliver it to a computing device configured for separating the stream of data into the plurality of events.
| 0.750531 |
1. A method, comprising: performing optical character recognition (OCR) on an image of a first document; generating a list of hypotheses mapping the first document to a complementary document using: textual information from the first document, textual information from the complementary document, and predefined business rules; at least one of: correcting OCR errors in the first document, and normalizing data from the complementary document, using at least one of the textual information from the complementary document and the predefined business rules; determining a validity of the first document based on the hypotheses; and outputting an indication of the determined validity.
|
1. A method, comprising: performing optical character recognition (OCR) on an image of a first document; generating a list of hypotheses mapping the first document to a complementary document using: textual information from the first document, textual information from the complementary document, and predefined business rules; at least one of: correcting OCR errors in the first document, and normalizing data from the complementary document, using at least one of the textual information from the complementary document and the predefined business rules; determining a validity of the first document based on the hypotheses; and outputting an indication of the determined validity. 16. A method as recited in claim 1 , wherein the determined validity is used to validate a business transaction.
| 0.687444 |
28. The computer program product of claim 18 , wherein the geographic location indicator defines a regulatory jurisdiction for workers compensation insurance coverage, and the one of the numeric classification codes and the one of the corresponding descriptions of each of the entries define classifications for workers compensation insurance according to predefined rules of the regulatory jurisdiction.
|
28. The computer program product of claim 18 , wherein the geographic location indicator defines a regulatory jurisdiction for workers compensation insurance coverage, and the one of the numeric classification codes and the one of the corresponding descriptions of each of the entries define classifications for workers compensation insurance according to predefined rules of the regulatory jurisdiction. 29. The computer program product of claim 28 , wherein the computer program instructions executed by the computer further cause the computer to implement: displaying the geographic location indicator on the interactive user display; and providing the geographic location indicator as part of the suggestion request using a reduced size code corresponding to the regulatory jurisdiction.
| 0.865006 |
2. A computer implemented method in accordance with claim 1 , wherein problems in said problem domain and said SLT rule for solving problems in said problem domain serve as inputs to a computer implemented automated general purpose tutor delivery system for delivering said content specified to at least one said student, wherein said automated general purpose tutor delivery system makes diagnostic, remedial and mastery decisions independently of the semantics of said to-be-learned SLT rule, wherein said automated general purpose tutor delivery system interacts with each said student using the interface created with said interface creation tool, said delivery method comprising the steps of: a) Receiving the output of said authoring in claim 1 as input, wherein said input includes an SLT rule, at least one problem that can be solved by said SLT rule, attributes for displaying problems on said interface, and a method of interacting with said student, wherein said method includes at least one of and mastery options, delivery options and inferencing methods specifying how tutoring decisions are to be made, b) Selecting a problem and a node in said SLT rule, c) Generating a sub-problem of said problem, wherein said sub-problem is generated by executing said SLT rule up to one of said node in said SLT rule and the top level node in said SLT rule, d) Generating a solution to said sub-problem by completing execution of said SLT rule on said sub-problem, e) Displaying said sub-problem on said interface in accordance with values and attributes assigned to input nodes in said sub-problem and response types of goal nodes in said sub-problem as specified in step e) of claim 1 , f) One of asking a question and presenting instruction on said sub-problem, g) When instruction on said sub-problem is given on said interface, adjusting the mastery status of said student on said node defining said sub-problem as specified in step f) of claim 1 , h) When a question on said sub-problem is displayed on said interface, receiving a response from said student, i) Evaluating said student response by comparing said student response with said solution and one of providing feedback to said student and not providing said feedback, j) Updating said student's status on said node based on said mastery and delivery options and the results of said evaluation of step i), k) One of making and not making inferences as to student status on other nodes based on said updating in accordance with said mastery and delivery options, and l) Repeating steps b) through k) until the student has demonstrated said level of mastery specified in said mastery options received in step a).
|
2. A computer implemented method in accordance with claim 1 , wherein problems in said problem domain and said SLT rule for solving problems in said problem domain serve as inputs to a computer implemented automated general purpose tutor delivery system for delivering said content specified to at least one said student, wherein said automated general purpose tutor delivery system makes diagnostic, remedial and mastery decisions independently of the semantics of said to-be-learned SLT rule, wherein said automated general purpose tutor delivery system interacts with each said student using the interface created with said interface creation tool, said delivery method comprising the steps of: a) Receiving the output of said authoring in claim 1 as input, wherein said input includes an SLT rule, at least one problem that can be solved by said SLT rule, attributes for displaying problems on said interface, and a method of interacting with said student, wherein said method includes at least one of and mastery options, delivery options and inferencing methods specifying how tutoring decisions are to be made, b) Selecting a problem and a node in said SLT rule, c) Generating a sub-problem of said problem, wherein said sub-problem is generated by executing said SLT rule up to one of said node in said SLT rule and the top level node in said SLT rule, d) Generating a solution to said sub-problem by completing execution of said SLT rule on said sub-problem, e) Displaying said sub-problem on said interface in accordance with values and attributes assigned to input nodes in said sub-problem and response types of goal nodes in said sub-problem as specified in step e) of claim 1 , f) One of asking a question and presenting instruction on said sub-problem, g) When instruction on said sub-problem is given on said interface, adjusting the mastery status of said student on said node defining said sub-problem as specified in step f) of claim 1 , h) When a question on said sub-problem is displayed on said interface, receiving a response from said student, i) Evaluating said student response by comparing said student response with said solution and one of providing feedback to said student and not providing said feedback, j) Updating said student's status on said node based on said mastery and delivery options and the results of said evaluation of step i), k) One of making and not making inferences as to student status on other nodes based on said updating in accordance with said mastery and delivery options, and l) Repeating steps b) through k) until the student has demonstrated said level of mastery specified in said mastery options received in step a). 12. A computer implemented method in accordance with claim 2 wherein step j) of updating said student's status further comprises: a) When said student's response on a node is correct, one of providing positive feedback to said student and not providing said feedback, b) When said mastery options have been met, setting the student's status to known, c) When said student's response for a node is incorrect, setting the Student's status on said node to unknown and one of providing corrective feedback to said student and not providing said feedback to said student.
| 0.670743 |
1. A Method for career matching assessment, comprising: creating an electronic questionnaire for a selected job opening on a server network device with one or more processors, the electronic questionnaire including: (1) a plurality of non-self assessment questions for a plurality of job seekers that are answered by the plurality jobs seekers as if the plurality of job seekers are actually an employer offering the selected job opening instead of the plurality of job seekers seeking the selected job opening, (2) a plurality of general questions that focus on different aspects of a working environment and working relationships and do not access any underlying personality traits of the plurality of job seekers and (3) a plurality of indirect questions including photographs for the selected job opening for assessing characteristics of the plurality of job seekers that are difficult to verbalize; making the electronic questionnaire available to a plurality of job seeker network devices with one or more processors via communications network from the server network device; receiving a plurality of completed electronic questionnaires on the server network via the communications network for the selected job opening, wherein the plurality of completed electronic questionnaires measure attributes of models of working environments, problem solving, communication and inter-personal skills related to job performance and job satisfaction for the selected job opening and wherein the plurality of completed electronic questionnaires included electronic questionnaires completed by the employer and the plurality of job seekers; creating an electronic profile for the employer and a plurality of electronic profiles for the of plurality of job seekers based on responses in the plurality of completed electronic questionnaires; invoking a matching process to assess an amount of overlap between the plurality of electronic profiles of the plurality of job seekers and the employer; creating an electronic priority list from the assessed amount of overlap to list job seeker candidates in rank order for the selected job opening most desirable to the employer, wherein the priority list includes a prediction of job performance, job satisfaction and long term job retention for the job seeker candidates for the selected job opening for the employer; and presenting automatic notification of the electronic priority list on the server network device for the employer so a most desirable job seeker candidates for the selected job opening can be determined.
|
1. A Method for career matching assessment, comprising: creating an electronic questionnaire for a selected job opening on a server network device with one or more processors, the electronic questionnaire including: (1) a plurality of non-self assessment questions for a plurality of job seekers that are answered by the plurality jobs seekers as if the plurality of job seekers are actually an employer offering the selected job opening instead of the plurality of job seekers seeking the selected job opening, (2) a plurality of general questions that focus on different aspects of a working environment and working relationships and do not access any underlying personality traits of the plurality of job seekers and (3) a plurality of indirect questions including photographs for the selected job opening for assessing characteristics of the plurality of job seekers that are difficult to verbalize; making the electronic questionnaire available to a plurality of job seeker network devices with one or more processors via communications network from the server network device; receiving a plurality of completed electronic questionnaires on the server network via the communications network for the selected job opening, wherein the plurality of completed electronic questionnaires measure attributes of models of working environments, problem solving, communication and inter-personal skills related to job performance and job satisfaction for the selected job opening and wherein the plurality of completed electronic questionnaires included electronic questionnaires completed by the employer and the plurality of job seekers; creating an electronic profile for the employer and a plurality of electronic profiles for the of plurality of job seekers based on responses in the plurality of completed electronic questionnaires; invoking a matching process to assess an amount of overlap between the plurality of electronic profiles of the plurality of job seekers and the employer; creating an electronic priority list from the assessed amount of overlap to list job seeker candidates in rank order for the selected job opening most desirable to the employer, wherein the priority list includes a prediction of job performance, job satisfaction and long term job retention for the job seeker candidates for the selected job opening for the employer; and presenting automatic notification of the electronic priority list on the server network device for the employer so a most desirable job seeker candidates for the selected job opening can be determined. 2. The method of claim 1 further comprising a computer readable medium have stored therein instructions for causing one or more processors to execute the steps of the method.
| 0.695693 |
6. A system for mapping hierarchical data from a relational table comprising: a schema for a hierarchical data structure wherein the schema defines a hierarchical relationship of data elements; processing means for identifying from the schema a node within the hierarchical data structure corresponding to a column in the relational table; processing means for determining that an element of the data elements in the schema is associated with an indicator that specifies the element as a hidden element; processing means for copying data from the relational table to the hierarchical data structure, wherein the copied data excludes the hidden element; and processing means for storing the hierarchical data structure that includes the copied data in a computer-readable storage medium.
|
6. A system for mapping hierarchical data from a relational table comprising: a schema for a hierarchical data structure wherein the schema defines a hierarchical relationship of data elements; processing means for identifying from the schema a node within the hierarchical data structure corresponding to a column in the relational table; processing means for determining that an element of the data elements in the schema is associated with an indicator that specifies the element as a hidden element; processing means for copying data from the relational table to the hierarchical data structure, wherein the copied data excludes the hidden element; and processing means for storing the hierarchical data structure that includes the copied data in a computer-readable storage medium. 7. The system as recited in claim 6 wherein the hierarchical data structure comprises an extensible markup language (XML) document.
| 0.5 |
5. A method of validating EDI documents comprising: providing an inventory of all rules, the inventory including a common set of rules for the plurality of entities dynamically adjusting said inventory of all rules based upon the entity specific rules where the entity specific rules are derived from a plurality of companion guides, each companion guide associated with one of the plurality of entities; creating a rules analyzer to analyze the content of companion guides and to build an organizer of companion guide rules where each companion guide is associated with one of the plurality of entities; employing the organizer of companion guide rules to add companion guide rules to the inventory of rules; creating a profiles engine to create a current rule set for each of said plurality of entities; creating a companion guide profile for each of the plurality of entities where each companion guide profile indicates that entity's companion guide rules and provides pointers to the rules in the inventory of rules that are associated with the current rule set of that entity, and creating a runtime checker engine to validate EDI documents by comparing each EDI document to the current rule set associated with a corresponding one of the plurality of entities, by forwarding the EDI document to the corresponding one of the plurality of entities if the EDI document matches its current rule set, wherein the EDI document is validated and by returning the EDI document to the sender if the EDI document does not match the current rule set, wherein the EDI document is invalidated.
|
5. A method of validating EDI documents comprising: providing an inventory of all rules, the inventory including a common set of rules for the plurality of entities dynamically adjusting said inventory of all rules based upon the entity specific rules where the entity specific rules are derived from a plurality of companion guides, each companion guide associated with one of the plurality of entities; creating a rules analyzer to analyze the content of companion guides and to build an organizer of companion guide rules where each companion guide is associated with one of the plurality of entities; employing the organizer of companion guide rules to add companion guide rules to the inventory of rules; creating a profiles engine to create a current rule set for each of said plurality of entities; creating a companion guide profile for each of the plurality of entities where each companion guide profile indicates that entity's companion guide rules and provides pointers to the rules in the inventory of rules that are associated with the current rule set of that entity, and creating a runtime checker engine to validate EDI documents by comparing each EDI document to the current rule set associated with a corresponding one of the plurality of entities, by forwarding the EDI document to the corresponding one of the plurality of entities if the EDI document matches its current rule set, wherein the EDI document is validated and by returning the EDI document to the sender if the EDI document does not match the current rule set, wherein the EDI document is invalidated. 17. The method of claim 5 further comprising using the rules analyzer and a companion guide analyzer to analyze the contents of each rule in the companion guide to determine whether the content of a companion rule is identical to another rule in the inventory of rules, or similar to another rule in the inventory of rules, or not found in another rule in the inventory of rules.
| 0.529536 |
11. A method of providing user communications, the method comprising: providing over a network an application software program for installation on a mobile computing device associated with a user; providing, by a computer system comprising a computing device and a network interface, a communication service to a web document of the user, wherein the communication service facilitates communications from a visitor to the user web document to the user; receiving, from a first visitor at the computer system, a communication request to communicate with the user via a communication interface displayed in association with the user web document, the communication interface including a text entry field configured to receive a text message from the first visitor for the user; causing, at least in part by the communication service, at least a first system to transmit a text message entered by the first visitor into the text entry field to the user mobile computing device, the user mobile computing device having the application software program installed thereon, without the first visitor providing, and without revealing to the first visitor, a mobile communication device phone address of the user; determining by the computer system if the user has a first account; and if the user does not have a first account, requesting that the user provide at least a first type of registration information prior to enabling the application software program to be installed on the user mobile computing device.
|
11. A method of providing user communications, the method comprising: providing over a network an application software program for installation on a mobile computing device associated with a user; providing, by a computer system comprising a computing device and a network interface, a communication service to a web document of the user, wherein the communication service facilitates communications from a visitor to the user web document to the user; receiving, from a first visitor at the computer system, a communication request to communicate with the user via a communication interface displayed in association with the user web document, the communication interface including a text entry field configured to receive a text message from the first visitor for the user; causing, at least in part by the communication service, at least a first system to transmit a text message entered by the first visitor into the text entry field to the user mobile computing device, the user mobile computing device having the application software program installed thereon, without the first visitor providing, and without revealing to the first visitor, a mobile communication device phone address of the user; determining by the computer system if the user has a first account; and if the user does not have a first account, requesting that the user provide at least a first type of registration information prior to enabling the application software program to be installed on the user mobile computing device. 18. The method as defined in claim 11 , wherein the application software program is provided via a software download to the mobile communication device of the user.
| 0.793939 |
1. A system that facilitates data handling, comprising: a component that receives data, wherein the data is a message sent to a user from another user; and a data manager that determines an intent of the data, wherein the data manager determines a probability of the determined intent, the data manager reformulates at least a subset of the data based on the intent, and automatically presents the reformulated data to the user, the data manager upon determination that the intent is a task that the user is to perform and that the determined probability of the intent being a task exceeds a user defined threshold, automatically reformulates the subset of data into a specific task assignment and adds the task assignment to the user's task list.
|
1. A system that facilitates data handling, comprising: a component that receives data, wherein the data is a message sent to a user from another user; and a data manager that determines an intent of the data, wherein the data manager determines a probability of the determined intent, the data manager reformulates at least a subset of the data based on the intent, and automatically presents the reformulated data to the user, the data manager upon determination that the intent is a task that the user is to perform and that the determined probability of the intent being a task exceeds a user defined threshold, automatically reformulates the subset of data into a specific task assignment and adds the task assignment to the user's task list. 11. The system of claim 1 , further comprising performing an action based on the intent, the action comprising at least one of automatically responding to a question; returning requested information; activating a device; scheduling a meeting; recasting a project; audibly notifying a user; visually notifying the user; inserting an item into the user's schedule; contacting the user; or adding the item to the user's to do list.
| 0.5 |
12. The system of claim 11 , wherein the program instructions to search the plurality of created tuples to identify one or more tuples that match the received topic further comprise: program instructions to identify a third tuple of the plurality of created tuples, the third tuple having a subject that matches the object of the first tuple; and program instructions to identify a fourth tuple of the plurality of created tuples, the fourth tuple having an object that matches the subject of the second tuple.
|
12. The system of claim 11 , wherein the program instructions to search the plurality of created tuples to identify one or more tuples that match the received topic further comprise: program instructions to identify a third tuple of the plurality of created tuples, the third tuple having a subject that matches the object of the first tuple; and program instructions to identify a fourth tuple of the plurality of created tuples, the fourth tuple having an object that matches the subject of the second tuple. 14. The system of claim 12 , wherein the program instructions to generate a summary of the document comprising the sentences that correspond to the one or more identified tuples that match the topic comprise: program instructions to generate a summary comprising sentences corresponding to the first tuple, the second tuple, the third tuple, and the fourth tuple of the plurality of created tuples.
| 0.912691 |
1. A method for associating documents with searchable metadata, the method comprising: receiving as input at least one text document; and operating at least one programmed processor to perform acts of creating metadata to be associated with the at least one text document, the metadata comprising at least one text keyword, the creating comprising extracting a set of one or more data elements from text of the at least one text document, the set of one or more data elements comprising at least one keyword that appears in the text of the at least one text document; normalizing said set of data elements to create a set of normalized data elements, wherein the normalizing comprises, for a first keyword of the at least one keyword, determining at least one other keyword similar to the first keyword, the at least one other keyword not being a keyword appearing in the text of the at least one text document, and adding the at least one other keyword to the set of normalized data elements; identifying at least one previously-validated keyword that is associated as metadata with at least one previously-stored text document, the at least one previously-stored text document not being one of the at least one text document, the at least one previously-validated keyword not being in the set of normalized data elements; merging said set of normalized data elements with the at least one previously-validated keyword to form a preliminary set of data elements; presenting said preliminary set of data elements for review by a user; and receiving user input validating a validated set of data elements; and in response to the user input validating the validated set of data elements, storing the at least one text document and storing the validated set of data elements as the metadata, the metadata being associated with the at least one text document such that the at least one text document may be located through a search for any data element included in the validated set of data elements.
|
1. A method for associating documents with searchable metadata, the method comprising: receiving as input at least one text document; and operating at least one programmed processor to perform acts of creating metadata to be associated with the at least one text document, the metadata comprising at least one text keyword, the creating comprising extracting a set of one or more data elements from text of the at least one text document, the set of one or more data elements comprising at least one keyword that appears in the text of the at least one text document; normalizing said set of data elements to create a set of normalized data elements, wherein the normalizing comprises, for a first keyword of the at least one keyword, determining at least one other keyword similar to the first keyword, the at least one other keyword not being a keyword appearing in the text of the at least one text document, and adding the at least one other keyword to the set of normalized data elements; identifying at least one previously-validated keyword that is associated as metadata with at least one previously-stored text document, the at least one previously-stored text document not being one of the at least one text document, the at least one previously-validated keyword not being in the set of normalized data elements; merging said set of normalized data elements with the at least one previously-validated keyword to form a preliminary set of data elements; presenting said preliminary set of data elements for review by a user; and receiving user input validating a validated set of data elements; and in response to the user input validating the validated set of data elements, storing the at least one text document and storing the validated set of data elements as the metadata, the metadata being associated with the at least one text document such that the at least one text document may be located through a search for any data element included in the validated set of data elements. 20. The method according to claim 1 , wherein normalizing said set of data elements further comprises adding the first data element to the set of normalized data elements.
| 0.587252 |
8. A computer-implemented method to enable a visual contextual search, the method comprising: receiving a selection area with user-defined boundaries encompassing a portion of a graphical user interface (GUI) of a computer application, wherein the selection area is drawn by a user of the GUI while the GUI is running; determining a set of help topics that are related to one or more GUI elements of the GUI that are displayed within the selection area defined by the user; and displaying for the user on the computer display a results section comprising one or more help topics in the set of help topics associated with the selection area defined by the user and a visual map of the GUI defining an association between the one or more help topics and the one or more GUI elements.
|
8. A computer-implemented method to enable a visual contextual search, the method comprising: receiving a selection area with user-defined boundaries encompassing a portion of a graphical user interface (GUI) of a computer application, wherein the selection area is drawn by a user of the GUI while the GUI is running; determining a set of help topics that are related to one or more GUI elements of the GUI that are displayed within the selection area defined by the user; and displaying for the user on the computer display a results section comprising one or more help topics in the set of help topics associated with the selection area defined by the user and a visual map of the GUI defining an association between the one or more help topics and the one or more GUI elements. 11. The method of claim 8 , further comprising associating help topics with an area of the GUI in response to the user adding a help topic to the results section, and for disassociating a help topic with an area of the GUI in response to the user removing a help topic from the results section.
| 0.688226 |
31. A method responsive to a user generated natural language speech utterance, comprising: receiving, at a speech unit connected to a computer device on a vehicle, a natural language speech utterance from a user, wherein the speech unit converts the received natural language speech utterance into an electronic signal; recognizing, at a speech recognition engine connected to the computer device on the vehicle, at least one of words or phrases from the electronic signal, wherein the speech recognition engine uses at least data received from a plurality of domain agents to recognize the words or phrases, wherein the data used by the speech recognition engine includes a plurality of dictionary and phrase entries that are dynamically updated based on at least a history of a current dialog and one or more prior dialogs associated with the user; determining, at a parser connected to the computer device on the vehicle, a context for the natural language speech utterance; selecting, at the parser connected to the computer device on the vehicle, at least one of the plurality of domain agents based on the determined context; transforming, at the parser connected to the computer device on the vehicle, the recognized words or phrases into at least one of a question or a command, wherein the at least one question or command is formulated in a grammar that the selected domain agent uses to process the formulated question or command; and forwarding the formulated question or command to an agent architecture connected to the computer device on the vehicle, wherein the agent architecture communicatively couples services of each of an agent manager, a system agent, the plurality of domain agents, and an agent library that includes one or more utilities that can be used by the system agent and the plurality of domain agents, wherein the selected domain agent uses the communicatively coupled services to create a response to the formulated question or command and format the response for presentation to the user.
|
31. A method responsive to a user generated natural language speech utterance, comprising: receiving, at a speech unit connected to a computer device on a vehicle, a natural language speech utterance from a user, wherein the speech unit converts the received natural language speech utterance into an electronic signal; recognizing, at a speech recognition engine connected to the computer device on the vehicle, at least one of words or phrases from the electronic signal, wherein the speech recognition engine uses at least data received from a plurality of domain agents to recognize the words or phrases, wherein the data used by the speech recognition engine includes a plurality of dictionary and phrase entries that are dynamically updated based on at least a history of a current dialog and one or more prior dialogs associated with the user; determining, at a parser connected to the computer device on the vehicle, a context for the natural language speech utterance; selecting, at the parser connected to the computer device on the vehicle, at least one of the plurality of domain agents based on the determined context; transforming, at the parser connected to the computer device on the vehicle, the recognized words or phrases into at least one of a question or a command, wherein the at least one question or command is formulated in a grammar that the selected domain agent uses to process the formulated question or command; and forwarding the formulated question or command to an agent architecture connected to the computer device on the vehicle, wherein the agent architecture communicatively couples services of each of an agent manager, a system agent, the plurality of domain agents, and an agent library that includes one or more utilities that can be used by the system agent and the plurality of domain agents, wherein the selected domain agent uses the communicatively coupled services to create a response to the formulated question or command and format the response for presentation to the user. 51. The method according to claim 31 , further comprising: determining that the recognized words or phrases include at least one predetermined panic or emergency words or phrases indicating that a crime is occurring; and summoning help to the vehicle over one or more communication links in response to the recognized words or phrases including the at least one predetermined panic or emergency words or phrases indicating that the crime is occurring.
| 0.567205 |
12. The method of claim 11 in which generating the aliasing file comprises: extracting names from the database file; normalizing the extracted names; and applying a language lexicon to the normalized extracted names.
|
12. The method of claim 11 in which generating the aliasing file comprises: extracting names from the database file; normalizing the extracted names; and applying a language lexicon to the normalized extracted names. 13. The method of claim 12 in which generating the aliasing file further comprises storing multiple normalized extracted names that map to a single concept in the aliasing file.
| 0.906414 |
8. The bone anchor assembly of claim 1 , wherein the closure structure has a corresponding continuous helically wound structure engageable with the discontinuous helically wound guide and advancement structure.
|
8. The bone anchor assembly of claim 1 , wherein the closure structure has a corresponding continuous helically wound structure engageable with the discontinuous helically wound guide and advancement structure. 11. The bone anchor assembly of claim 8 , wherein the closure structure remains spaced apart from the insert when the bone anchor assembly is in a locked configuration.
| 0.958041 |
9. A non-transitory data processor readable medium storing data processor code that, when loaded into a data processing device, adapts the device to perform a method of processing multi-modal communications, the data processor readable medium comprising: code for intercepting a plurality of incoming text based messages; code for converting each incoming text based message into a single text format shared by each of said plurality of incoming text based messages; code for intercepting a plurality of incoming audio based messages; code for converting each incoming audio based message into said single text format; code for parsing each of the converted plurality of incoming text based messages and each of the converted incoming audio based messages into a list of keywords; code for analyzing the list of keywords for each message to generate a respective vector of at least one keyword for each message, wherein said vector is based on a path distance in a semantic hierarchical tree of a dictionary; code for calculating a similarity distance between the messages based on their respective vectors of keywords; and code for clustering into topical message clusters based upon the calculated similarity distances.
|
9. A non-transitory data processor readable medium storing data processor code that, when loaded into a data processing device, adapts the device to perform a method of processing multi-modal communications, the data processor readable medium comprising: code for intercepting a plurality of incoming text based messages; code for converting each incoming text based message into a single text format shared by each of said plurality of incoming text based messages; code for intercepting a plurality of incoming audio based messages; code for converting each incoming audio based message into said single text format; code for parsing each of the converted plurality of incoming text based messages and each of the converted incoming audio based messages into a list of keywords; code for analyzing the list of keywords for each message to generate a respective vector of at least one keyword for each message, wherein said vector is based on a path distance in a semantic hierarchical tree of a dictionary; code for calculating a similarity distance between the messages based on their respective vectors of keywords; and code for clustering into topical message clusters based upon the calculated similarity distances. 12. The data processor readable medium of claim 9 , further comprising code for displaying the clustered messages as a list of context threads.
| 0.568386 |
2. The method of claim 1 , wherein the note is one of selected document content or a user created note.
|
2. The method of claim 1 , wherein the note is one of selected document content or a user created note. 4. The method of claim 2 , wherein the selected document content is at least one of a sentence, paragraph, page, image, or a form-field.
| 0.926502 |
16. The method of claim 15 , further comprising the activated application creating a secondary window proximal to the primary window and populating the secondary window with the dynamically translated idiom.
|
16. The method of claim 15 , further comprising the activated application creating a secondary window proximal to the primary window and populating the secondary window with the dynamically translated idiom. 17. The method of claim 16 , further comprising the activated application closing the secondary window upon detection of movement of the indicia away from the phrase.
| 0.896341 |
21. The system of claim 19 , wherein invoking the server-administered function is triggered by the text message having a self-addressed routing direction.
|
21. The system of claim 19 , wherein invoking the server-administered function is triggered by the text message having a self-addressed routing direction. 27. The system of claim 21 , wherein the network controller is configured to route the received text message to another address in the event that a determination identifies that: registration is not sought from the device used to compile the text message; or registration of the device for the service has not previously occurred; or an address header of the text message does not contain a looped routing direction.
| 0.917881 |
3. A mobile video playback device comprising: an operating system executing in memory of a computer configured to playback podcasts stored in the mobile video playback device; a datastore of essential words; a speech recognition engine; and, speed podcasting logic executing under management of the operating system comprising program code enabled to receive a podcast of particular subject matter, speech recognize an audio portion of the received podcast into a transcript of both essential and non-essential words, the essential words comprising nouns and verbs directed to the particular subject matter, the non-essential words comprising articles, adverbs and adjectives not essential to the particular subject matter, to parse each word of the transcript, filter the transcript to exclude non-essential words leaving only essential words comprising nouns and verbs, and compare the parsed words remaining in the filtered transcript with a set of essential words in a data store so as to identify each of the essential word speech recognized and present in the transcript, to process each word parsed in the transcript and matched to an essential word in the data store to index a corresponding audio segment of the audio portion of the podcast, to select a playback speed for speed podcasting the received podcast, to determine a rating corresponding to the selected playback speed, and to play back each indexed audio segment corresponding to an essential word in the speech recognized transcript matched to a word in the data store and having a rating higher than the determined rating, while excluding from playback all audio segments not indexed to an essential word in the speech recognized transcript and all audio segments indexed to an essential word having a rating lower than the determined rating.
|
3. A mobile video playback device comprising: an operating system executing in memory of a computer configured to playback podcasts stored in the mobile video playback device; a datastore of essential words; a speech recognition engine; and, speed podcasting logic executing under management of the operating system comprising program code enabled to receive a podcast of particular subject matter, speech recognize an audio portion of the received podcast into a transcript of both essential and non-essential words, the essential words comprising nouns and verbs directed to the particular subject matter, the non-essential words comprising articles, adverbs and adjectives not essential to the particular subject matter, to parse each word of the transcript, filter the transcript to exclude non-essential words leaving only essential words comprising nouns and verbs, and compare the parsed words remaining in the filtered transcript with a set of essential words in a data store so as to identify each of the essential word speech recognized and present in the transcript, to process each word parsed in the transcript and matched to an essential word in the data store to index a corresponding audio segment of the audio portion of the podcast, to select a playback speed for speed podcasting the received podcast, to determine a rating corresponding to the selected playback speed, and to play back each indexed audio segment corresponding to an essential word in the speech recognized transcript matched to a word in the data store and having a rating higher than the determined rating, while excluding from playback all audio segments not indexed to an essential word in the speech recognized transcript and all audio segments indexed to an essential word having a rating lower than the determined rating. 8. The device of claim 3 , wherein the program code of the speed podcasting logic enabled to speech recognize the audio portion of the selected podcast comprises program code to produce a transcript of the audio portion of the selected podcast.
| 0.6752 |
10. The system of claim 1 , wherein the cloud based system in operation compares a measured sensor signal from a sensor to a threshold level.
|
10. The system of claim 1 , wherein the cloud based system in operation compares a measured sensor signal from a sensor to a threshold level. 12. The system of claim 10 , wherein the feedback system or subsystem in operation provides that when the measured sensor signal does not equal or exceed the threshold level, the measured sensor signal or is adjusted until the measured sensor signal falls within a desired range of an expected threshold level.
| 0.809309 |
3. The method of claim 1 , wherein the identified data type, the source application, the target application, and a usage frequency of the target application are in a record in a launcher table, wherein the launcher table comprises at least one record including the record, each record of the at least one record comprising a respective data type, a respective source application in which a respective string matching the respective data type is selected by a respective user, a respective target application associated with a respective combination of the respective data type and the respective source application, and a respective usage frequency of the respective target application.
|
3. The method of claim 1 , wherein the identified data type, the source application, the target application, and a usage frequency of the target application are in a record in a launcher table, wherein the launcher table comprises at least one record including the record, each record of the at least one record comprising a respective data type, a respective source application in which a respective string matching the respective data type is selected by a respective user, a respective target application associated with a respective combination of the respective data type and the respective source application, and a respective usage frequency of the respective target application. 4. The method of claim 3 , wherein said identifying the target application comprises: identifying, from the launcher table, at least one matching record previously associated with the identified data type; prompting, upon determining that more than one record in the launcher table is identified from said identifying, the user to select the target application among a respective target application of the more than one identified record; and responsive to said prompting, receiving a second command that selects the target application among the respective target application of the more than one identified record.
| 0.787701 |
2. The method according to claim 1 , further comprising: setting up a context in a debugger for debugging the anomaly.
|
2. The method according to claim 1 , further comprising: setting up a context in a debugger for debugging the anomaly. 3. The method according to claim 2 , wherein setting up a context in a debugger comprises: displaying a waveform of misbehaved signals associated with the anomaly in a waveform window; and centering the waveform window around a simulation time at which the anomaly is detected.
| 0.866731 |
9. A computer system for providing context through a scripting-type programming language to data included in a Session Initiation Protocol (SIP) message comprising: a processor; and a memory comprising machine readable instructions that when executed by the processor, cause the system to provide one or more contexts through a scripting-type computer programming language, wherein each of the one or more contexts functions as a pointer to a particular pre-defined portion of a SIP message, wherein each context is a pointer that references the memory location of the respective portion of data that it is associated with; provide one or more rules of an ingress profile and one or more rules of an egress profile, wherein the one or more rules of the ingress profile are different than the one or more rules of the egress profile, and wherein each of the one or more rules includes at least one trigger and at least one action; receive a series of SIP messages, wherein each SIP message in the series belongs to a same SIP message flow; after a particular SIP message in the series is received, parse the particular message to identify whether the particular message includes any portion of data that can be referenced via one or more contexts; for each respective portion of data that can be referenced via a context, associate a respective context with each respective portion of data such that the respective portion of data can be referenced by the context; determine whether the at least one action of any of the one or more rules of the ingress profile or the one or more rules of the egress profile is triggered by the SIP message; and using the one or more contexts, apply, to the series of SIP messages, the one or more rules of the ingress profile or the one or more rules of the egress profile for which the at least one action is triggered.
|
9. A computer system for providing context through a scripting-type programming language to data included in a Session Initiation Protocol (SIP) message comprising: a processor; and a memory comprising machine readable instructions that when executed by the processor, cause the system to provide one or more contexts through a scripting-type computer programming language, wherein each of the one or more contexts functions as a pointer to a particular pre-defined portion of a SIP message, wherein each context is a pointer that references the memory location of the respective portion of data that it is associated with; provide one or more rules of an ingress profile and one or more rules of an egress profile, wherein the one or more rules of the ingress profile are different than the one or more rules of the egress profile, and wherein each of the one or more rules includes at least one trigger and at least one action; receive a series of SIP messages, wherein each SIP message in the series belongs to a same SIP message flow; after a particular SIP message in the series is received, parse the particular message to identify whether the particular message includes any portion of data that can be referenced via one or more contexts; for each respective portion of data that can be referenced via a context, associate a respective context with each respective portion of data such that the respective portion of data can be referenced by the context; determine whether the at least one action of any of the one or more rules of the ingress profile or the one or more rules of the egress profile is triggered by the SIP message; and using the one or more contexts, apply, to the series of SIP messages, the one or more rules of the ingress profile or the one or more rules of the egress profile for which the at least one action is triggered. 11. The computer system of claim 9 , wherein the machine readable instructions when executed by the processor further cause the system to: define one or more variables, where each variable is configured to store state data based on the SIP message flow; and modify the one or more variables based on accessing data referenced by a particular context.
| 0.506266 |
32. A code-portion-handling tool as claimed in claim 13 , wherein the at least one processor is further operable to convert said candidate code portion in said abstracted form into its corresponding input form.
|
32. A code-portion-handling tool as claimed in claim 13 , wherein the at least one processor is further operable to convert said candidate code portion in said abstracted form into its corresponding input form. 33. A code-portion-handling tool as claimed in claim 32 , wherein the at least one processor is operable to manipulate said candidate code portion in dependence upon said implementation, and wherein the at least one processor is operable to carry out such conversion before or after such manipulation has been performed on the candidate code portion.
| 0.926327 |
1. A method for use in connection with delivering assets to users of a broadcast network, the broadcast network primarily involving synchronized distribution of broadcast content to multiple users, the method comprising: receiving a broadcast content stream at a UED of a network user; receiving a subset of assets at the UED in conjunction with the broadcast content stream, the subset of assets identified by a network interface upstream in the broadcast network with respect to the UED by: monitoring textual information associated with said broadcast content stream; calculating a goodness of fit value for each of the assets according to a matching between the textual information and textual constraints associated with the assets; and identifying the subset of assets as having the highest respective goodness of fit values; determining targeting criteria corresponding to each of the subset of assets; selecting, at the UED, one of the subset of assets for an asset delivery spot as a function of the targeting criteria; and delivering the selected one of the subset of assets via the UED during the asset delivery spot.
|
1. A method for use in connection with delivering assets to users of a broadcast network, the broadcast network primarily involving synchronized distribution of broadcast content to multiple users, the method comprising: receiving a broadcast content stream at a UED of a network user; receiving a subset of assets at the UED in conjunction with the broadcast content stream, the subset of assets identified by a network interface upstream in the broadcast network with respect to the UED by: monitoring textual information associated with said broadcast content stream; calculating a goodness of fit value for each of the assets according to a matching between the textual information and textual constraints associated with the assets; and identifying the subset of assets as having the highest respective goodness of fit values; determining targeting criteria corresponding to each of the subset of assets; selecting, at the UED, one of the subset of assets for an asset delivery spot as a function of the targeting criteria; and delivering the selected one of the subset of assets via the UED during the asset delivery spot. 6. The method of claim 1 , wherein selecting one of the subset of the identified assets for a predetermined asset delivery spot further comprises: selecting an asset having a higher goodness of fit value.
| 0.63949 |
6. The system of claim 1 , wherein the voice to text module further comprises classification circuitry configured to cause the voice to text server to classify the textual information in said message so as to provide a message description, and to transmit said message description in said second signal.
|
6. The system of claim 1 , wherein the voice to text module further comprises classification circuitry configured to cause the voice to text server to classify the textual information in said message so as to provide a message description, and to transmit said message description in said second signal. 7. The system of claim 6 , wherein said voice to text circuitry is further configured to cause said voice to text server to include said message description as metadata within or associated with said message.
| 0.878187 |
15. The search engine of claim 10 , wherein the image is presented in a view window which encloses at least a portion of text and at least a portion of non-text.
|
15. The search engine of claim 10 , wherein the image is presented in a view window which encloses at least a portion of text and at least a portion of non-text. 16. The search engine of claim 15 , wherein the non-text comprises at least one of a graph, signature, chart, embedded image, equation or other non-textual visual element.
| 0.915329 |
15. A system for searching a relatively large set of content items in response to unresolved keystroke entry by a user from a keypad with overloaded keys in which a given key is in fixed association with a plurality of alphabetical and numerical symbols and the entry has relatively few keystrokes so that a subset of targeted content item results is quickly presented, the system comprising: a collection of subsets of content items associated with corresponding strings of one or more unresolved keystrokes for overloaded keys, the subsets of content items being ranked and associated with the content items based on an ordering criteria so that the subsets of content items are directly mapped to the corresponding strings of unresolved keystrokes; and a computer memory comprising instructions for causing a computer system to: receive a first unresolved keystroke from a user, wherein one of the plurality of alphabetical and numerical symbols in fixed association with the first unresolved keystroke is a symbol the user is using to search for desired content items select and present the subset of content items that is associated with the first unresolved keystroke based on the direct mapping of unresolved keystrokes to the subsets of content items; subsequent to receiving the first unresolved keystroke, receive subsequent unresolved keystrokes from the user and form a string of unresolved keystrokes including the first unresolved keystroke and the subsequent unresolved keystrokes in the order received; and select and present the subset of content items that is associated with the string of unresolved keystrokes received based on the direct mapping of unresolved keystrokes to the subsets of content items; wherein at least one of selecting and presenting the subset of content items that is associated with the first unresolved keystroke and selecting and presenting the subset of content items that is associated with the string of unresolved keystrokes selects the subset of content items using a data structure or a term intersection process or a combination thereof, the data structure including a first storage structure and a second storage structure, the first storage structure including a plurality of subsets of content items, each subset being associated with a corresponding string of unresolved keystrokes, wherein using the data structure to select a subset of content items includes returning the subset of content items of the first storage structure that is associated with the string of unresolved keystrokes entered by the user and retrieving additional content items from the second storage structure if the desired content items are not present in the first storage structure.
|
15. A system for searching a relatively large set of content items in response to unresolved keystroke entry by a user from a keypad with overloaded keys in which a given key is in fixed association with a plurality of alphabetical and numerical symbols and the entry has relatively few keystrokes so that a subset of targeted content item results is quickly presented, the system comprising: a collection of subsets of content items associated with corresponding strings of one or more unresolved keystrokes for overloaded keys, the subsets of content items being ranked and associated with the content items based on an ordering criteria so that the subsets of content items are directly mapped to the corresponding strings of unresolved keystrokes; and a computer memory comprising instructions for causing a computer system to: receive a first unresolved keystroke from a user, wherein one of the plurality of alphabetical and numerical symbols in fixed association with the first unresolved keystroke is a symbol the user is using to search for desired content items select and present the subset of content items that is associated with the first unresolved keystroke based on the direct mapping of unresolved keystrokes to the subsets of content items; subsequent to receiving the first unresolved keystroke, receive subsequent unresolved keystrokes from the user and form a string of unresolved keystrokes including the first unresolved keystroke and the subsequent unresolved keystrokes in the order received; and select and present the subset of content items that is associated with the string of unresolved keystrokes received based on the direct mapping of unresolved keystrokes to the subsets of content items; wherein at least one of selecting and presenting the subset of content items that is associated with the first unresolved keystroke and selecting and presenting the subset of content items that is associated with the string of unresolved keystrokes selects the subset of content items using a data structure or a term intersection process or a combination thereof, the data structure including a first storage structure and a second storage structure, the first storage structure including a plurality of subsets of content items, each subset being associated with a corresponding string of unresolved keystrokes, wherein using the data structure to select a subset of content items includes returning the subset of content items of the first storage structure that is associated with the string of unresolved keystrokes entered by the user and retrieving additional content items from the second storage structure if the desired content items are not present in the first storage structure. 23. The system of claim 15 wherein at least one of receiving a first unresolved keystroke from the user, selecting and presenting the subset of content items that is associated with the first unresolved keystroke, receiving subsequent unresolved keystrokes from the user and forming a string of unresolved keystrokes, and selecting and presenting the subset of content items that is associated with the string of unresolved keystrokes occurs on said device operated by said user.
| 0.500651 |
20. The method of claim 17 further comprising the steps of receiving said transmission block; using said error detecting code and the words of said odd and even sub-blocks to detect errors which may be present in the sub-blocks; selectively delaying the words in said odd sub-block and in said even sub-block to de-interleave said odd information and error-correcting words and to de-interleave said even information and error-correcting words; using the at least one de-interleaved odd error-correcting word to correct odd information words which have been detected as being erroneous and using the at least one de-interleaved even error-correcting word to correct even information words which have been detected as being erroneous; approximating a correct odd or even information word to replace an uncorrectable information word by interpolating adjacent correct even or odd information words, respectively; and recovering a corrected sequence of information words.
|
20. The method of claim 17 further comprising the steps of receiving said transmission block; using said error detecting code and the words of said odd and even sub-blocks to detect errors which may be present in the sub-blocks; selectively delaying the words in said odd sub-block and in said even sub-block to de-interleave said odd information and error-correcting words and to de-interleave said even information and error-correcting words; using the at least one de-interleaved odd error-correcting word to correct odd information words which have been detected as being erroneous and using the at least one de-interleaved even error-correcting word to correct even information words which have been detected as being erroneous; approximating a correct odd or even information word to replace an uncorrectable information word by interpolating adjacent correct even or odd information words, respectively; and recovering a corrected sequence of information words. 21. The method of claim 20 wherein each received odd and even sub-block is a Q sub-block formed of a Q-parity word interleaved with a P sub-block and even P sub-block is formed of a P-parity word and information words which have been selectively delayed to form interleaved words; and wherein said steps of de-interleaving and error-correcting comprise selectively delaying the words in said odd Q sub-block and in said even Q sub-block to de-interleave said odd information words, said Q-parity word and said P-parity word of each odd Q sub-block and to de-interleave said even information words, said Q-parity word and said P-parity word of each even Q sub-block; using the odd Q-parity word to correct odd information and P-parity words which have been detected as being erroneous so as to form a corrected odd P sub-block and using the even Q-parity word to correct those even information and P-parity words which have been detected as being erroneous so as to form a corrected even P sub-block; selectively delaying the words in said corrected odd P sub-block and in said corrected even P sub-block to de-interleave said odd information and P-parity words of said odd P sub-block and to de-interleave said even information and P-parity words of said even P sub-block; and using the odd P-parity word to correct those de-interleaved odd information words which remain erroneous and using the even P-parity word to correct those de-interleaved even information words which remain erroneous.
| 0.5 |
32. A method in accordance with claim 1 wherein: processing the text with the computer comprises identifying categories of information therein; and further comprising quantifying information in each of the categories and determining the psychological state of the person from the quantified information.
|
32. A method in accordance with claim 1 wherein: processing the text with the computer comprises identifying categories of information therein; and further comprising quantifying information in each of the categories and determining the psychological state of the person from the quantified information. 33. A method in accordance with claim 32 wherein: the determined psychological state is one to which a response should be taken and the output communication contains the response to be taken.
| 0.807143 |
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.
|
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. 3. The system recited in claim 1 wherein the processor is further configured to: receive and process batch requests for unknown URL requests for processing by the web domain classifier from one or more security devices associated with one or more of the first plurality of subscribers.
| 0.588175 |
15. A computer program product comprising a non-transitory computer-readable storage medium containing computer program code for performing the steps: providing for display a plurality of options for selecting a sponsored story specification for generating a sponsored story in an online social networking system, the sponsored story comprising promoting a story selected from an organic activity stream of stories in the online social networking system; providing for display one or more entities in the online social networking system for use in generating the sponsored story specification related to one of the entities; receiving a first user input selecting a target entity from the one or more entities as a first criterion for the sponsored story specification; providing for display one or more interactions for use in generating the sponsored story specification, each interaction comprising information about a user action with the selected entity taken in the online social networking system; receiving a second user input selecting a target interaction comprising a user action with the selected entity taken in the online social networking system as a second criterion for the sponsored story; generating, by a computer processor, a new sponsored story specification, the sponsored story specification specifying the first and second criteria for identifying, from the organic activity stream of stories in the online social networking system, one or more stories describing the selected interaction taken on the selected target entity in the online social networking system; and receiving input activating the new sponsored story specification.
|
15. A computer program product comprising a non-transitory computer-readable storage medium containing computer program code for performing the steps: providing for display a plurality of options for selecting a sponsored story specification for generating a sponsored story in an online social networking system, the sponsored story comprising promoting a story selected from an organic activity stream of stories in the online social networking system; providing for display one or more entities in the online social networking system for use in generating the sponsored story specification related to one of the entities; receiving a first user input selecting a target entity from the one or more entities as a first criterion for the sponsored story specification; providing for display one or more interactions for use in generating the sponsored story specification, each interaction comprising information about a user action with the selected entity taken in the online social networking system; receiving a second user input selecting a target interaction comprising a user action with the selected entity taken in the online social networking system as a second criterion for the sponsored story; generating, by a computer processor, a new sponsored story specification, the sponsored story specification specifying the first and second criteria for identifying, from the organic activity stream of stories in the online social networking system, one or more stories describing the selected interaction taken on the selected target entity in the online social networking system; and receiving input activating the new sponsored story specification. 18. The computer program product of claim 15 , wherein the interaction comprises posting a page, posting a link, updating a status, commenting on an item, or checking in at a location.
| 0.755501 |
12. The method of claim 11 , wherein: neurolinguistically analyzing the first text sequence comprises: extracting elements from the first text sequence; and conducting a first comparison by comparing the elements extracted from the first text sequence to predetermined elements associated with cognitive motivation orientations; wherein the first statistical information is derived from the first comparison; the method further comprising determining, based on the first statistical information, a first dominant cognitive motivation orientation set, the first dominant cognitive motivation orientation set being expressed within the first text sequence; wherein the message subsumes the first statistical information by subsuming the first dominant cognitive motivation orientation set.
|
12. The method of claim 11 , wherein: neurolinguistically analyzing the first text sequence comprises: extracting elements from the first text sequence; and conducting a first comparison by comparing the elements extracted from the first text sequence to predetermined elements associated with cognitive motivation orientations; wherein the first statistical information is derived from the first comparison; the method further comprising determining, based on the first statistical information, a first dominant cognitive motivation orientation set, the first dominant cognitive motivation orientation set being expressed within the first text sequence; wherein the message subsumes the first statistical information by subsuming the first dominant cognitive motivation orientation set. 21. The method of claim 12 , wherein: the message is a response to the first text sequence, the response being automatically dynamically generated based on the first dominant cognitive motivation orientation set.
| 0.823219 |
7. An apparatus configured to create a natural language grammar set of data based on an input text string, the apparatus comprising: a processor configured to tag the input text string, examine the input text string for at least one first set of substitutions based on content of the input text string, and determine whether the input text string is a substring of a previously tagged input text string by comparing the input text string to a previously tagged input text string, wherein the substring determination operation determines whether the input text string is wholly included in the previously tagged input text string, wherein if the input text string is determined to be a substring of a previously tagged input text string, then determine whether the input text string and the at least one additional input text string share a common pre-assigned tag identifier stored in a memory location, and wherein if the input text string and the at least one additional input text string share the common pre-assigned tag identifier stored in the memory location, then eliminate at least one of the input text string and the at least one additional input text string from the natural language grammar.
|
7. An apparatus configured to create a natural language grammar set of data based on an input text string, the apparatus comprising: a processor configured to tag the input text string, examine the input text string for at least one first set of substitutions based on content of the input text string, and determine whether the input text string is a substring of a previously tagged input text string by comparing the input text string to a previously tagged input text string, wherein the substring determination operation determines whether the input text string is wholly included in the previously tagged input text string, wherein if the input text string is determined to be a substring of a previously tagged input text string, then determine whether the input text string and the at least one additional input text string share a common pre-assigned tag identifier stored in a memory location, and wherein if the input text string and the at least one additional input text string share the common pre-assigned tag identifier stored in the memory location, then eliminate at least one of the input text string and the at least one additional input text string from the natural language grammar. 10. The apparatus of claim 7 , further comprising: a memory location configured to store a pre-assigned tag identifier.
| 0.620831 |
8. One or more computer-readable storage media storing computer-executable instructions that when executed on a computer perform a method of modifying a system representation, the media storing one or more instructions for: simultaneously providing, using the computer: a first representation of a system, and a second representation of the system; receiving a user action associated with the first or second representation; analyzing: the first representation, and the second representation; automatically determining, using the computer, a first set of modifications for modifying one of the first or second representation, the first set of modifications determined: live based on the user action, and based on the analyzing; displaying, on a display device, the first set of modifications within the one of the first or second representation; and the first representation is one of: a graphical model of the system implemented in a graphical modeling environment, and code related to the system implemented in a text-based environment; and the second representation is the other of: the graphical model of the system, and the code related to the system.
|
8. One or more computer-readable storage media storing computer-executable instructions that when executed on a computer perform a method of modifying a system representation, the media storing one or more instructions for: simultaneously providing, using the computer: a first representation of a system, and a second representation of the system; receiving a user action associated with the first or second representation; analyzing: the first representation, and the second representation; automatically determining, using the computer, a first set of modifications for modifying one of the first or second representation, the first set of modifications determined: live based on the user action, and based on the analyzing; displaying, on a display device, the first set of modifications within the one of the first or second representation; and the first representation is one of: a graphical model of the system implemented in a graphical modeling environment, and code related to the system implemented in a text-based environment; and the second representation is the other of: the graphical model of the system, and the code related to the system. 11. The computer-readable storage media of claim 8 , wherein the analyzing includes: performing syntactic and/or semantic analysis of the second representation.
| 0.58465 |
1. A system for consuming job information stored on a spool storage by a spooling module, the system comprising: a processing unit; and memory accessible to the processing unit, the memory comprising: logic configured to consume a data structure that specifies the job information from the spool storage, wherein the data structure defines a plurality of nodes organized into a hierarchical arrangement representing different aspects of the job information; first filter logic configured to process the job information when the job information conforms to the data structure and generate a first output result that conforms to the data structure; second filter logic configured to process the job information when the job information conforms to the data structure and generate a second output result that partially conforms to the data structure; and third filter logic configured to process the job information when the job information is arranged according to a non-structured format; wherein the first filter logic processes the job information while maintaining the data structure specifying the job information to generate the first output result for a first target entity, the first target entity configured to recognize and process the job information when arranged according to the data structure, wherein the second filter logic processes the job information to generate the second output result for a second target entity, the second target entity configured to recognize and process the job information when arranged at least partially according to the data structure, and wherein the third filter logic processes the job information when the job information is arranged according to a non-structured format to generate a third output result for a third target entity, the third target entity configured to recognize and process the job information when arranged according to the non-structured format.
|
1. A system for consuming job information stored on a spool storage by a spooling module, the system comprising: a processing unit; and memory accessible to the processing unit, the memory comprising: logic configured to consume a data structure that specifies the job information from the spool storage, wherein the data structure defines a plurality of nodes organized into a hierarchical arrangement representing different aspects of the job information; first filter logic configured to process the job information when the job information conforms to the data structure and generate a first output result that conforms to the data structure; second filter logic configured to process the job information when the job information conforms to the data structure and generate a second output result that partially conforms to the data structure; and third filter logic configured to process the job information when the job information is arranged according to a non-structured format; wherein the first filter logic processes the job information while maintaining the data structure specifying the job information to generate the first output result for a first target entity, the first target entity configured to recognize and process the job information when arranged according to the data structure, wherein the second filter logic processes the job information to generate the second output result for a second target entity, the second target entity configured to recognize and process the job information when arranged at least partially according to the data structure, and wherein the third filter logic processes the job information when the job information is arranged according to a non-structured format to generate a third output result for a third target entity, the third target entity configured to recognize and process the job information when arranged according to the non-structured format. 14. The system of claim 1 , wherein the logic for consuming comprises logic configured to consume at least one sequence node that functions to bind together at least two aspects of the job information.
| 0.500516 |
1. A method comprising: concatenating one or more electrical digital signals representing binary expressions of individual ones of characters of a first character expression in a first binary string, said characters of said first character expression representing a first numerical value of a first numerical expression represented by a concatenation of said individual ones of characters of said first character expression according to a non-binary position-value notation; concatenating one or more electrical digital signals representing binary expressions of individual ones of characters of a second character expression in a second binary string, said characters of said second character expression representing a second numerical value of a second numerical expression represented by a concatenation of said individual ones of characters of said second character expression according to said non-binary position-value notation; and determining a relationship between said first and second numerical values based, at least in part, on said first and second binary strings.
|
1. A method comprising: concatenating one or more electrical digital signals representing binary expressions of individual ones of characters of a first character expression in a first binary string, said characters of said first character expression representing a first numerical value of a first numerical expression represented by a concatenation of said individual ones of characters of said first character expression according to a non-binary position-value notation; concatenating one or more electrical digital signals representing binary expressions of individual ones of characters of a second character expression in a second binary string, said characters of said second character expression representing a second numerical value of a second numerical expression represented by a concatenation of said individual ones of characters of said second character expression according to said non-binary position-value notation; and determining a relationship between said first and second numerical values based, at least in part, on said first and second binary strings. 15. The method of claim 1 , wherein said binary expressions of said characters comprise eight bit strings selected from a mapping of eight bit strings to characters, said eight bit strings comprising a partial ordering of said strings with respect to an ordering of a sequence of said characters.
| 0.583277 |
15. A data input method comprising: executing a client-side script module that is stored within the user's computer, that is a list of commands that are embedded in the Hypertext Markup Language code defining a web page and can be executed by or within the browser; generating and displaying on a web page a graphical data input field sensing user entry in the graphical data input field of a character sequence including at least one character; associating an ordered set of data containing at least two selection lists, each one of said at least two selection lists including at least two character strings; associating at least two character strings from said at least two selection lists wherein each character string of said at least two selection lists is separated by a delimiter from an adjacent character string of said at least two selection lists; searching sequentially and character-by-character each character string of one of said at least two selection lists according to each user-entered character for a character match; searching as needed sequentially and character-by-character each character string of each remaining list of said at least two selection lists according to each user entered character for a character match; matching each character sequence with each character string of said at least two selection lists; sensing an acceptance action by the user, reflecting the current user selected choice.
|
15. A data input method comprising: executing a client-side script module that is stored within the user's computer, that is a list of commands that are embedded in the Hypertext Markup Language code defining a web page and can be executed by or within the browser; generating and displaying on a web page a graphical data input field sensing user entry in the graphical data input field of a character sequence including at least one character; associating an ordered set of data containing at least two selection lists, each one of said at least two selection lists including at least two character strings; associating at least two character strings from said at least two selection lists wherein each character string of said at least two selection lists is separated by a delimiter from an adjacent character string of said at least two selection lists; searching sequentially and character-by-character each character string of one of said at least two selection lists according to each user-entered character for a character match; searching as needed sequentially and character-by-character each character string of each remaining list of said at least two selection lists according to each user entered character for a character match; matching each character sequence with each character string of said at least two selection lists; sensing an acceptance action by the user, reflecting the current user selected choice. 20. A data input method as in claim 15 defining the delimiter as a space.
| 0.891785 |
15. A communication system comprising: a memory configured to store a user-configurable representation of reality, comprising a multi-level model framework of a complex system comprising a plurality of ontologically organized cells, each ontologically organized cell comprising a relationship to at least one other ontologically organized cell at a different level of the multi-level model framework, and, and a multi-scale representation defining instructions for generating a plurality of observable elements based on the multi-level model framework, each observable element having at least one attribute modifiable based on at least one of: (i) a value of an ontologically organized cell, (ii) the relationship between a first ontologically organized cell and a second ontologically organized cell, and (iii) a status of an ontologically organized cell in the context of the multi-level model framework; and wherein the representation of reality is provided on a display and generated based at least in part on a series of settings input by a user; a toolset allowing the user to alter a criterion, wherein the criterion at least in part contributes to the representation of reality, and wherein the toolset further comprises: a series of selectable semiotic pattern schemes, and a series of selectable semiotic ontological frameworks; and a software engine, implemented on a computer with a processor configured to receive the user-altered criterion and automatically propagate the user-altered criterion throughout the representation of reality.
|
15. A communication system comprising: a memory configured to store a user-configurable representation of reality, comprising a multi-level model framework of a complex system comprising a plurality of ontologically organized cells, each ontologically organized cell comprising a relationship to at least one other ontologically organized cell at a different level of the multi-level model framework, and, and a multi-scale representation defining instructions for generating a plurality of observable elements based on the multi-level model framework, each observable element having at least one attribute modifiable based on at least one of: (i) a value of an ontologically organized cell, (ii) the relationship between a first ontologically organized cell and a second ontologically organized cell, and (iii) a status of an ontologically organized cell in the context of the multi-level model framework; and wherein the representation of reality is provided on a display and generated based at least in part on a series of settings input by a user; a toolset allowing the user to alter a criterion, wherein the criterion at least in part contributes to the representation of reality, and wherein the toolset further comprises: a series of selectable semiotic pattern schemes, and a series of selectable semiotic ontological frameworks; and a software engine, implemented on a computer with a processor configured to receive the user-altered criterion and automatically propagate the user-altered criterion throughout the representation of reality. 19. The system of claim 15 , wherein the software engine through the computer with the processor, is configured to connect to a network and is further configured to, using the network connection, organize and store a generated representation of reality based on the series of setting input by, and the user-altered criterion received from, an individual user or multiple users.
| 0.5 |
8. A computer program product for generating and implementing intuitively comfortable frames of task appropriate frames of reference for multiple dimensions of context constraints for related sets of objects within an integrated development environment (IDE), the computer program product comprising a non-transitory computer readable storage medium having program code embodied therewith, the program code readable and executable by a processor to perform a method comprising: identifying a first hierarchical set of context constraints for a first object, wherein the first hierarchical set of context constraints for the first object includes multiple facets of context, and wherein the multiple facets of context comprise an operational environment context describing an operating system and hardware platform that must be used by the first object; depicting the first hierarchical set of context constraints for the first object on the IDE, wherein the first hierarchical set of context constraints is depicted by utilizing a visual metaphor selected by a user, wherein the visual metaphor selected by the user is a hierarchical stack of planes and pillars, wherein a top plane represents a top context for the first object, wherein a pillar connects the top plane to a lower plane that represents a lower context for the first object, and wherein the lower context supports the top context just as the lower plane supports the top plane via the pillar; receiving a first zoom-in input from the user, wherein the first zoom-in input is for a first context constraint in the first hierarchical set of context constraints; in response to receiving the first zoom-in input, placing the IDE in mention mode, wherein use of the first hierarchical set of context constraints against the first object is disabled while the IDE is in mention mode; in response to the IDE being placed in mention mode, displaying detail of the first context constraint on the IDE; and receiving changes to the first context constraint that are input by the user from the IDE to create a modified first context constraint on the first object.
|
8. A computer program product for generating and implementing intuitively comfortable frames of task appropriate frames of reference for multiple dimensions of context constraints for related sets of objects within an integrated development environment (IDE), the computer program product comprising a non-transitory computer readable storage medium having program code embodied therewith, the program code readable and executable by a processor to perform a method comprising: identifying a first hierarchical set of context constraints for a first object, wherein the first hierarchical set of context constraints for the first object includes multiple facets of context, and wherein the multiple facets of context comprise an operational environment context describing an operating system and hardware platform that must be used by the first object; depicting the first hierarchical set of context constraints for the first object on the IDE, wherein the first hierarchical set of context constraints is depicted by utilizing a visual metaphor selected by a user, wherein the visual metaphor selected by the user is a hierarchical stack of planes and pillars, wherein a top plane represents a top context for the first object, wherein a pillar connects the top plane to a lower plane that represents a lower context for the first object, and wherein the lower context supports the top context just as the lower plane supports the top plane via the pillar; receiving a first zoom-in input from the user, wherein the first zoom-in input is for a first context constraint in the first hierarchical set of context constraints; in response to receiving the first zoom-in input, placing the IDE in mention mode, wherein use of the first hierarchical set of context constraints against the first object is disabled while the IDE is in mention mode; in response to the IDE being placed in mention mode, displaying detail of the first context constraint on the IDE; and receiving changes to the first context constraint that are input by the user from the IDE to create a modified first context constraint on the first object. 9. The computer program product of claim 8 , wherein the method further comprises: depicting a second hierarchical set of context constraints required for a second object, wherein the second hierarchical set of context constraints is depicted by utilizing the visual metaphor selected by the user on the IDE, and wherein the second hierarchical set of context constraints partially overlaps with the first hierarchical set of context constraints; receiving a second zoom-in input from the user, wherein the second zoom-in input is for a second context constraint in the second hierarchical set of context constraints, and wherein the second zoom-in input causes detail of the second context constraint to be displayed on the IDE; and receiving changes to the second context constraint that are input by the user from the IDE to create a modified second context constraint on the second object.
| 0.638733 |
1. A method for recommending television programming to a user, comprising: monitoring, using a processor within user television equipment, which television programming is being viewed by the user; automatically identifying, using the processor, a currently viewed program based on the monitoring, wherein the currently viewed program has a plurality of program attributes each included within a respective attribute category; determining that a user has selected an attribute category of actor as a criterion for recommending programs; automatically identifying an actor who performs in the currently viewed program responsive to determining that the user has selected the attribute category of actor as a criterion for recommending programs; and recommending using the processor, another program having an actor that matches the identified actor of the currently viewed program.
|
1. A method for recommending television programming to a user, comprising: monitoring, using a processor within user television equipment, which television programming is being viewed by the user; automatically identifying, using the processor, a currently viewed program based on the monitoring, wherein the currently viewed program has a plurality of program attributes each included within a respective attribute category; determining that a user has selected an attribute category of actor as a criterion for recommending programs; automatically identifying an actor who performs in the currently viewed program responsive to determining that the user has selected the attribute category of actor as a criterion for recommending programs; and recommending using the processor, another program having an actor that matches the identified actor of the currently viewed program. 4. The method of claim 1 , further comprising determining whether the user has selected at least one attribute category of program title, program duration, program genre, program channel, scheduled program duration, program rating, and program content rating as a criterion for recommending programs.
| 0.549873 |
1. A system comprising: a CPU, a computer readable memory and a computer readable storage media; a taxonomy component configured to provide one or more normalized labels; and a classification tool configured to automatically classify data across an enterprise system using the one or more normalized labels, the classification tool comprising: a lexical name matching component that analyzes data without a normalized label, determines a name that is assigned to the data, and compares the name assigned to the data to the one or more normalized labels, wherein if the name appears in the one or more normalized labels, then the one or more normalized labels with the name is added to a list of suggested normalized labels for the data; a lineage analysis component that analyzes data movement operations to determine if data in one or more locations is the same, wherein if the data is the same, only in different locations, then the lineage analysis component assigns a same normalized label to all instances of the data without a normalized label; a content analysis component that analyzes 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 assigned to the data originally without the normalized label; and a data access log mining component that analyzes access logs to determine data that a certain group of users is accessing, wherein the data access log mining component assigns a same normalized label to instances of the data that the certain group of users is determined to be accessing, wherein the CPU is configured to provide the one or more normalized labels and to classify the data via the taxonomy component and the classification tool.
|
1. A system comprising: a CPU, a computer readable memory and a computer readable storage media; a taxonomy component configured to provide one or more normalized labels; and a classification tool configured to automatically classify data across an enterprise system using the one or more normalized labels, the classification tool comprising: a lexical name matching component that analyzes data without a normalized label, determines a name that is assigned to the data, and compares the name assigned to the data to the one or more normalized labels, wherein if the name appears in the one or more normalized labels, then the one or more normalized labels with the name is added to a list of suggested normalized labels for the data; a lineage analysis component that analyzes data movement operations to determine if data in one or more locations is the same, wherein if the data is the same, only in different locations, then the lineage analysis component assigns a same normalized label to all instances of the data without a normalized label; a content analysis component that analyzes 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 assigned to the data originally without the normalized label; and a data access log mining component that analyzes access logs to determine data that a certain group of users is accessing, wherein the data access log mining component assigns a same normalized label to instances of the data that the certain group of users is determined to be accessing, wherein the CPU is configured to provide the one or more normalized labels and to classify the data via the taxonomy component and the classification tool. 4. The system of claim 1 , wherein one or more policies are assigned to the one or more normalized labels.
| 0.724954 |
19. A method of processing text intervals, comprising: extracting a first proposition from a first text interval; providing a plurality of semantic roles, wherein each role of the plurality of roles defines a different semantic relationship between at least two words; generating a first proposition tree from the first proposition, wherein the first proposition tree comprises at least one node connected to other nodes by at least one edge, wherein each node is respectively associated with at least one word from the first proposition; assigning at least one of the plurality of roles to the at least one edge; determining a first similarity value between the first text interval and a second text interval based on a comparison of the first proposition tree and a second proposition tree corresponding to the second text interval, wherein the second text interval is different from the first text interval and at least one of the first text interval and the second text interval comprises natural language; and selectively outputting, using a processor, the second text interval based the first similarity value.
|
19. A method of processing text intervals, comprising: extracting a first proposition from a first text interval; providing a plurality of semantic roles, wherein each role of the plurality of roles defines a different semantic relationship between at least two words; generating a first proposition tree from the first proposition, wherein the first proposition tree comprises at least one node connected to other nodes by at least one edge, wherein each node is respectively associated with at least one word from the first proposition; assigning at least one of the plurality of roles to the at least one edge; determining a first similarity value between the first text interval and a second text interval based on a comparison of the first proposition tree and a second proposition tree corresponding to the second text interval, wherein the second text interval is different from the first text interval and at least one of the first text interval and the second text interval comprises natural language; and selectively outputting, using a processor, the second text interval based the first similarity value. 23. The method of claim 19 , comprising associating, for at least one node in the first proposition tree, a word having a relationship to the at least one node to form a first augmented proposition tree.
| 0.62717 |
16. A data storage system for storing at least one file generated by a distributed application in a parallel computing system, wherein said file comprises a plurality of sub-files, comprising: a hardware processing device for obtaining a user specification of semantic information related to said file; determining semantically meaningful sub-file boundaries for said plurality of sub-files based on said semantic information; and for providing said semantic information as a data structure description to a data formatting library write function, wherein said semantic information is dependent upon a content of said file; and a memory for storing said semantic information related to said file with additional metadata related to said file and with one or more of said sub-files using said determined semantically meaningful sub-file boundaries in one or more storage nodes of said parallel computing system.
|
16. A data storage system for storing at least one file generated by a distributed application in a parallel computing system, wherein said file comprises a plurality of sub-files, comprising: a hardware processing device for obtaining a user specification of semantic information related to said file; determining semantically meaningful sub-file boundaries for said plurality of sub-files based on said semantic information; and for providing said semantic information as a data structure description to a data formatting library write function, wherein said semantic information is dependent upon a content of said file; and a memory for storing said semantic information related to said file with additional metadata related to said file and with one or more of said sub-files using said determined semantically meaningful sub-file boundaries in one or more storage nodes of said parallel computing system. 18. The data storage system of claim 16 , wherein said sub-files are replicated based on said semantically meaningful boundaries.
| 0.623913 |
8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed on the processor, perform operations comprising: training a spoken dialog system using task-independent call-types of a previous application; recognizing a user utterance using the spoken dialog system, to yield a recognized user utterance; determining an acceptance threshold and a rejection threshold based on an entity referenced in the recognized user utterance; classifying the recognized user utterance, to yield a classification, where the classification meets one of: the rejection threshold, the acceptance threshold, and both the rejection threshold and the acceptance threshold; when the classification meets the acceptance threshold acting according to a call-type associated with the classification; and when the classification meets the rejection threshold, and does not meet the acceptance threshold, transcribing the recognized user utterance and using the recognized user utterance for further training of the spoken dialog system.
|
8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed on the processor, perform operations comprising: training a spoken dialog system using task-independent call-types of a previous application; recognizing a user utterance using the spoken dialog system, to yield a recognized user utterance; determining an acceptance threshold and a rejection threshold based on an entity referenced in the recognized user utterance; classifying the recognized user utterance, to yield a classification, where the classification meets one of: the rejection threshold, the acceptance threshold, and both the rejection threshold and the acceptance threshold; when the classification meets the acceptance threshold acting according to a call-type associated with the classification; and when the classification meets the rejection threshold, and does not meet the acceptance threshold, transcribing the recognized user utterance and using the recognized user utterance for further training of the spoken dialog system. 9. The system of claim 8 , wherein when the classification does not meet the rejection threshold, the user utterance comprises a task-specific call-type.
| 0.556988 |
18. The method of claim 1 further comprising: receiving a first set of electronic questionnaires designed to measure attributes of models of working environments, problem solving, communication and inter-personal skills related to job performance and job satisfaction completed by the employer for the selected job opening on the server network device via the communications network from the employer, wherein the first set of electronic questionnaires include questions related to internal and external dimension factors of the employer; receiving a second set of electronic questionnaires designed to measure attributes of models of working environments, problem solving, communication and inter-personal skills related to job performance and job satisfaction completed by the employer for the selected job opening on the server network device via the communications network from the plurality of job seekers, wherein the second set of electronic questionnaires include questions related to internal and external dimension factors of the plurality of job seekers; creating a profile for the employer and the plurality of job seekers based on responses in the first and second electronic questionnaires, wherein the profile is created on the basis of answers to questions that assess external and internal dimension factors of the employer and the plurality of job seekers; invoking the matching process to assesses an amount of overlap between the profiles of the plurality of job seekers and the employer; and creating an electronic priority list of job seekers in rank order for the selected job opening from the accessed amount of overlap most desirable to the employer; and presenting the electronic priority list on the server network device for the employer so the employer make select a desirable job seeker for the selected job opening.
|
18. The method of claim 1 further comprising: receiving a first set of electronic questionnaires designed to measure attributes of models of working environments, problem solving, communication and inter-personal skills related to job performance and job satisfaction completed by the employer for the selected job opening on the server network device via the communications network from the employer, wherein the first set of electronic questionnaires include questions related to internal and external dimension factors of the employer; receiving a second set of electronic questionnaires designed to measure attributes of models of working environments, problem solving, communication and inter-personal skills related to job performance and job satisfaction completed by the employer for the selected job opening on the server network device via the communications network from the plurality of job seekers, wherein the second set of electronic questionnaires include questions related to internal and external dimension factors of the plurality of job seekers; creating a profile for the employer and the plurality of job seekers based on responses in the first and second electronic questionnaires, wherein the profile is created on the basis of answers to questions that assess external and internal dimension factors of the employer and the plurality of job seekers; invoking the matching process to assesses an amount of overlap between the profiles of the plurality of job seekers and the employer; and creating an electronic priority list of job seekers in rank order for the selected job opening from the accessed amount of overlap most desirable to the employer; and presenting the electronic priority list on the server network device for the employer so the employer make select a desirable job seeker for the selected job opening. 19. The method of claim 18 further comprising a computer readable medium have stored therein instructions for causing one or more processors to execute the steps of the method.
| 0.779143 |
2. The method of claim 1 , further comprising the steps of: choosing a desired personality type for the target personality; and selecting one or more appropriate conversational personalities with which the target personality should communicate, based on the desired personality type for the target personality.
|
2. The method of claim 1 , further comprising the steps of: choosing a desired personality type for the target personality; and selecting one or more appropriate conversational personalities with which the target personality should communicate, based on the desired personality type for the target personality. 3. The method of claim 2 , wherein the step of allowing an at least one communicating entity to interact with the target personality further comprises the steps of: implementing an at least one teacher personality in memory on the at least one computing device, each teacher personality configured for transmitting to the target personality a set of pre-defined conversational inputs so that the target personality may learn how to appropriately respond to the conversational inputs through interacting with and receiving appropriate responses from the at least one conversational personality; and selecting an appropriate teacher personality with which the target personality should communicate, based on the desired personality type for the target personality.
| 0.883787 |
10. A computer-implemented method for providing access to a knowledge base, comprising: converting a natural language question to an internal query that represents an interpretation of the natural language question and has an internal format compatible with structured data of the knowledge base, the structured data representing first knowledge; computing one or more responses to the natural language question by processing the internal query with reference to the structured data, wherein the one or more responses include second knowledge derived from the first knowledge in response to the internal query, the second knowledge not being stored in the knowledge base prior to receipt of the natural language question; and generating a definitive natural language answer corresponding to at least one of the one or more responses.
|
10. A computer-implemented method for providing access to a knowledge base, comprising: converting a natural language question to an internal query that represents an interpretation of the natural language question and has an internal format compatible with structured data of the knowledge base, the structured data representing first knowledge; computing one or more responses to the natural language question by processing the internal query with reference to the structured data, wherein the one or more responses include second knowledge derived from the first knowledge in response to the internal query, the second knowledge not being stored in the knowledge base prior to receipt of the natural language question; and generating a definitive natural language answer corresponding to at least one of the one or more responses. 13. The method of claim 10 wherein the second knowledge is derived from the first knowledge by inference.
| 0.880909 |
8. A non-transitory, computer-readable medium comprising computer-executable instructions for determining whether a call has reached a live party or a machine, that when executed, cause a call handler that is handling the call to: analyze a cadence of audio of the call; establish a call leg to a speech analytics system so that the speech analytics system can analyze the audio of the call over the call leg to detect one or more keywords; make a first determination that the call has reached the live party or the machine based on the cadence of the audio; receive an event from the speech analytics system as a result of the speech analytics system detecting a particular keyword in the audio of the call; upon receiving the event, make a second determination that the call has reached the live party or the machine based on the particular keyword detected in the audio of the call; and connect the call with a second live party so that the second live party can converse with the live party reached on the call in response to the first and second determinations indicating the call has reached the live party.
|
8. A non-transitory, computer-readable medium comprising computer-executable instructions for determining whether a call has reached a live party or a machine, that when executed, cause a call handler that is handling the call to: analyze a cadence of audio of the call; establish a call leg to a speech analytics system so that the speech analytics system can analyze the audio of the call over the call leg to detect one or more keywords; make a first determination that the call has reached the live party or the machine based on the cadence of the audio; receive an event from the speech analytics system as a result of the speech analytics system detecting a particular keyword in the audio of the call; upon receiving the event, make a second determination that the call has reached the live party or the machine based on the particular keyword detected in the audio of the call; and connect the call with a second live party so that the second live party can converse with the live party reached on the call in response to the first and second determinations indicating the call has reached the live party. 12. The non-transitory, computer-readable medium of claim 8 , wherein the computer-executable instructions are configured to cause the call handler to connect the call with the second live party in response to the first determination indicating the call has reached the machine and the second determination indicating the call has reached the live party.
| 0.531037 |
8. The system of claim 6 , wherein the processor is further configured to design-facilitate the minimal valid graph and the transformation rules.
|
8. The system of claim 6 , wherein the processor is further configured to design-facilitate the minimal valid graph and the transformation rules. 9. The system of claim 8 , wherein the processor is further configured to design-facilitate using non-terminal symbol design tools to generate intermediate transformation results.
| 0.948027 |
1. A method for processing files containing fields which are defined by COBOL (i.e., COmmon Business Oriented Language) language record descriptions that contain elementary items that specify data items that include a varying length characteristic, the method comprising: providing COBOL language record descriptions that contain elementary items that specify variable length elementary data items that include a varying length characteristic and a plurality of subfields including a data item length subfield; and compiling and processing the COBOL language record descriptions to create at least one of a compiled specification and compiled data wherein the subfields are treated as a single composite field and wherein the length subfield is automatically set to a varying value which represents the varying length of the variable length elementary data item during the step of processing the compiled record descriptions.
|
1. A method for processing files containing fields which are defined by COBOL (i.e., COmmon Business Oriented Language) language record descriptions that contain elementary items that specify data items that include a varying length characteristic, the method comprising: providing COBOL language record descriptions that contain elementary items that specify variable length elementary data items that include a varying length characteristic and a plurality of subfields including a data item length subfield; and compiling and processing the COBOL language record descriptions to create at least one of a compiled specification and compiled data wherein the subfields are treated as a single composite field and wherein the length subfield is automatically set to a varying value which represents the varying length of the variable length elementary data item during the step of processing the compiled record descriptions. 7. The method as claimed in claim 1 , wherein the data item is a graphic data item.
| 0.61296 |
1. A method for developing a corpora of context-based phrase translations for translating one or more sections of one or more applications, from a source language to a target language, the method comprising: storing a plurality of text phrases present on the one or more sections; storing a plurality of screen shot images of the one or more sections in accordance with a pre-defined condition; storing a timestamp associated with each of said text phrases and each of said screen shot images; and combining the plurality of text phrases and the plurality of screen shot images based on said timestamps, to translate said text phrases to generate the corpora of context-based phrase translations, wherein the above steps are executed by a microprocessor.
|
1. A method for developing a corpora of context-based phrase translations for translating one or more sections of one or more applications, from a source language to a target language, the method comprising: storing a plurality of text phrases present on the one or more sections; storing a plurality of screen shot images of the one or more sections in accordance with a pre-defined condition; storing a timestamp associated with each of said text phrases and each of said screen shot images; and combining the plurality of text phrases and the plurality of screen shot images based on said timestamps, to translate said text phrases to generate the corpora of context-based phrase translations, wherein the above steps are executed by a microprocessor. 6. The method of claim 1 further comprising storing a position of the plurality of text phrases on the one or more sections.
| 0.751546 |
1. A method, comprising: identifying one or more structures recurring across multiple model files, wherein each model file comprises information relating to one or more neurosynaptic cores; for each recurring structure identified, generating a corresponding reusable compositional prototype, wherein each reusable compositional prototype comprises one or more metadata tags and a set of pre-defined rules, and each rule identifies one or more modifications for a neurosynaptic network; maintaining a library including each reusable compositional prototype generated; in response to receiving one or more search parameters, searching the library based on the one or more search parameters; selecting at least one reusable compositional prototype with at least one metadata tag satisfying the one or more search parameters; and instantiating one or more components of the network and connectivity between the one or more components based on one or more rules included in the at least one selected reusable compositional prototype, thereby decreasing time associated with developing and debugging the network and increasing accuracy of the network.
|
1. A method, comprising: identifying one or more structures recurring across multiple model files, wherein each model file comprises information relating to one or more neurosynaptic cores; for each recurring structure identified, generating a corresponding reusable compositional prototype, wherein each reusable compositional prototype comprises one or more metadata tags and a set of pre-defined rules, and each rule identifies one or more modifications for a neurosynaptic network; maintaining a library including each reusable compositional prototype generated; in response to receiving one or more search parameters, searching the library based on the one or more search parameters; selecting at least one reusable compositional prototype with at least one metadata tag satisfying the one or more search parameters; and instantiating one or more components of the network and connectivity between the one or more components based on one or more rules included in the at least one selected reusable compositional prototype, thereby decreasing time associated with developing and debugging the network and increasing accuracy of the network. 2. The method of claim 1 , wherein the one or more rules control one or more of the following: adding a neurosynaptic program to the network, adding a sub-network to the network, adding a connection in the network, adding a neuron in the network, changing one or more parameters of the network, applying a reusable compositional prototype, and enhancing functionality of the network.
| 0.666506 |
11. A system comprising: a processor; a memory; a delegate module configured to delegate a task associated with an identified portion of a first data content object to a particular user; an event module configured to determine one or more events performed on content within the identified portion of the first data content object, the one or more events being performed by a first user using a data-content-object processing application; a history buffer module configured to store one or more event indications identifying the one or more events, at least one of the one or more event indications including metadata indicating first-user interaction with the content within the identified portion of the first data content object; an event notification module configured to retrieve a notification threshold condition associated with the particular user, the notification threshold condition defining criteria for determining which of the one or more event indications are relevant to the particular user and for determining based on the one or more event indications relevant to the particular user whether to send a notification to the particular user, at least one of the criteria requiring that the relevancy of at least one of the one or more events be determined based on an interaction with the identified portion of the first data content object by the particular user, wherein the interaction is that the particular user previously commented on the identified portion of the first data content object; and a criterion module configured to use the criteria to determine which of the one or more event indications are relevant to the particular user, where the relevant historical event indications are determined based on which event indications in the history buffer correspond to the identified portion of the first data object delegated to the particular user, and to use the criteria to determine whether the one or more event indications relevant to the particular user satisfies the notification threshold condition; the event notification module further being configured to generate the notification for the particular user when the notification threshold condition is satisfied.
|
11. A system comprising: a processor; a memory; a delegate module configured to delegate a task associated with an identified portion of a first data content object to a particular user; an event module configured to determine one or more events performed on content within the identified portion of the first data content object, the one or more events being performed by a first user using a data-content-object processing application; a history buffer module configured to store one or more event indications identifying the one or more events, at least one of the one or more event indications including metadata indicating first-user interaction with the content within the identified portion of the first data content object; an event notification module configured to retrieve a notification threshold condition associated with the particular user, the notification threshold condition defining criteria for determining which of the one or more event indications are relevant to the particular user and for determining based on the one or more event indications relevant to the particular user whether to send a notification to the particular user, at least one of the criteria requiring that the relevancy of at least one of the one or more events be determined based on an interaction with the identified portion of the first data content object by the particular user, wherein the interaction is that the particular user previously commented on the identified portion of the first data content object; and a criterion module configured to use the criteria to determine which of the one or more event indications are relevant to the particular user, where the relevant historical event indications are determined based on which event indications in the history buffer correspond to the identified portion of the first data object delegated to the particular user, and to use the criteria to determine whether the one or more event indications relevant to the particular user satisfies the notification threshold condition; the event notification module further being configured to generate the notification for the particular user when the notification threshold condition is satisfied. 14. The system of claim 11 , wherein the first data content object relates to a user, a group of users, a tag configured to associate with another data content object, or a project.
| 0.546404 |
13. Apparatus for determining a regular grid pattern from a surface coded pattern that comprises the regular grid pattern interleaved with a further data carrying pattern wherein the surface coded pattern is subject to perspective distortion, the apparatus comprising: an imaging system arranged to capture an electronic image of the ceded surface coded pattern; and a data processor arranged to execute machine readable instructions to: extract a set of straight line hypotheses from the surface coded pattern by identifying a plurality of surface pattern points that are co-linear to one another, identifying sets of the plurality of surface pattern points that are co-linear to one another, deleting sets of the plurality of surface pattern points that have a cross-ratio value outside a predetermined range, and fitting a line hypothesis to sets of the plurality of surface pattern points that have a cross-ratio value within the predetermined range; cluster the straight line hypotheses by orientation; for each cluster, extract a set of line pencil hypotheses; generate a set of regular grid hypotheses from pairs of the line pencil hypotheses; and determine a regular grid hypothesis closest to a true regular grid.
|
13. Apparatus for determining a regular grid pattern from a surface coded pattern that comprises the regular grid pattern interleaved with a further data carrying pattern wherein the surface coded pattern is subject to perspective distortion, the apparatus comprising: an imaging system arranged to capture an electronic image of the ceded surface coded pattern; and a data processor arranged to execute machine readable instructions to: extract a set of straight line hypotheses from the surface coded pattern by identifying a plurality of surface pattern points that are co-linear to one another, identifying sets of the plurality of surface pattern points that are co-linear to one another, deleting sets of the plurality of surface pattern points that have a cross-ratio value outside a predetermined range, and fitting a line hypothesis to sets of the plurality of surface pattern points that have a cross-ratio value within the predetermined range; cluster the straight line hypotheses by orientation; for each cluster, extract a set of line pencil hypotheses; generate a set of regular grid hypotheses from pairs of the line pencil hypotheses; and determine a regular grid hypothesis closest to a true regular grid. 17. The apparatus according to claim 13 , further comprising machine readable instructions to: select a pair of line pencil hypotheses to form a regular grid hypothesis; and determine which of the straight line hypotheses associated with the selected line pencil hypotheses conform to the regular grid hypothesis.
| 0.611829 |
1. A conversational processing method performed in an information processing apparatus capable of processing digital signals, the method comprising: extracting a referential expression from an input sentence; generating an intermediate referential expression representing modifying relations among words constituting the extracted referential expression; and searching an object corresponding to the generated intermediate referential expression within a preconfigured object search range, wherein the referential expression includes at least one word or a sentence including a combination of words used for explaining an object instructed by a user, the object indicating a thing or a person on which an operation is performed, wherein the intermediate referential expression is a form of graph or tree including a plurality of nodes, wherein the graph or the tree represents modifying relations among words constituting the extracted referential expression, and wherein an uppermost node represents a name of the object indicated by the user and lower nodes represent properties of the object or represents a modifier modifying the uppermost node or forming a relation between two other nodes.
|
1. A conversational processing method performed in an information processing apparatus capable of processing digital signals, the method comprising: extracting a referential expression from an input sentence; generating an intermediate referential expression representing modifying relations among words constituting the extracted referential expression; and searching an object corresponding to the generated intermediate referential expression within a preconfigured object search range, wherein the referential expression includes at least one word or a sentence including a combination of words used for explaining an object instructed by a user, the object indicating a thing or a person on which an operation is performed, wherein the intermediate referential expression is a form of graph or tree including a plurality of nodes, wherein the graph or the tree represents modifying relations among words constituting the extracted referential expression, and wherein an uppermost node represents a name of the object indicated by the user and lower nodes represent properties of the object or represents a modifier modifying the uppermost node or forming a relation between two other nodes. 3. The method of claim 1 , wherein: in the searching, among object properties included within the object search range, object properties which do not form relations with other objects are constructed as a monadic relation table, and object properties which form relations with other object are constructed as a dyadic relation table.
| 0.508415 |
3. The method of claim 1 , wherein the generating further comprises creating a list of each of the identified at least one reference and the corresponding HTML equivalent thereto.
|
3. The method of claim 1 , wherein the generating further comprises creating a list of each of the identified at least one reference and the corresponding HTML equivalent thereto. 4. The method of claim 3 , wherein the replacing further comprises replacing the at least one reference with the generated HTML equivalent corresponding thereto based on the list.
| 0.94382 |
1. A computer-implemented method of generating a user's social network model, the method comprising: receiving a set of documents associated with a user; accessing the user's contact data, the contact data identifying a plurality of entities; analyzing the documents, using the contact data, to identify references to entities therein; identifying relationships among the referenced entities; determining a strength of a first relationship between a first entity and a second entity responsive to a volume of documents in which both the first entity and the second entity appear, wherein the first and second entities are a subset of the referenced entities; building a social network model for the user responsive to the identified relationships among the referenced entities and the strength of the first relationship; storing the social network model; receiving a new document associated with the user; identifying, in the new document, a reference to an ambiguous entity; performing name disambiguation using the social network model to determine which of at least two candidate entities from the social network model is an intended entity for the ambiguous entity; identifying other entities referenced by the new document; and updating the social network model by modifying relationship strengths in the social network model between the intended entity and the other entities referenced by the new document.
|
1. A computer-implemented method of generating a user's social network model, the method comprising: receiving a set of documents associated with a user; accessing the user's contact data, the contact data identifying a plurality of entities; analyzing the documents, using the contact data, to identify references to entities therein; identifying relationships among the referenced entities; determining a strength of a first relationship between a first entity and a second entity responsive to a volume of documents in which both the first entity and the second entity appear, wherein the first and second entities are a subset of the referenced entities; building a social network model for the user responsive to the identified relationships among the referenced entities and the strength of the first relationship; storing the social network model; receiving a new document associated with the user; identifying, in the new document, a reference to an ambiguous entity; performing name disambiguation using the social network model to determine which of at least two candidate entities from the social network model is an intended entity for the ambiguous entity; identifying other entities referenced by the new document; and updating the social network model by modifying relationship strengths in the social network model between the intended entity and the other entities referenced by the new document. 3. The method of claim 1 , wherein the referenced entities comprise people.
| 0.684721 |
4. A text inputting device according to claims 1 or 2 wherein said first means includes a combined KANA and alphabetic keyboard and means for selectively inputting KANA characters or alphabetic characters as said characters of said first kind.
|
4. A text inputting device according to claims 1 or 2 wherein said first means includes a combined KANA and alphabetic keyboard and means for selectively inputting KANA characters or alphabetic characters as said characters of said first kind. 15. A text inputting device according to claim 4 wherein said fifth means comprises means for controlling said display means to display mnemonic codes which correspond with each of the candidate characters of the second kind during the display of said candidate characters prior to selection of one of said displayed candidate characters of the second kind by said operator-operable selection means.
| 0.91274 |
51. The at least one tangible computer readable medium of claim 34 , wherein generating the second of the at least two search queries further comprises performing speech recognition on the voice input using a language model different from the second language model.
|
51. The at least one tangible computer readable medium of claim 34 , wherein generating the second of the at least two search queries further comprises performing speech recognition on the voice input using a language model different from the second language model. 52. The at least one tangible computer readable medium of claim 51 , wherein the language model different from the second language model is a topic-specific language model.
| 0.93165 |
27. A computer system for verification analysis comprising: a memory which stores instructions; one or more processors coupled to the memory wherein the one or more processors are configured to: obtain a design description including set of constraints wherein the set of constraints includes a multiplication constraint; analyze the set of constraints to identify the multiplication constraint; perform factorization to produce factoring values that solve the multiplication constraint, wherein the factorization is performed on an overflow representation of the number; and solve a design problem within the design description based on the factoring values.
|
27. A computer system for verification analysis comprising: a memory which stores instructions; one or more processors coupled to the memory wherein the one or more processors are configured to: obtain a design description including set of constraints wherein the set of constraints includes a multiplication constraint; analyze the set of constraints to identify the multiplication constraint; perform factorization to produce factoring values that solve the multiplication constraint, wherein the factorization is performed on an overflow representation of the number; and solve a design problem within the design description based on the factoring values. 29. The system of claim 27 wherein the one or more processors are further configured to loop through the factoring values until one or more values are determined which satisfy other constraints.
| 0.658205 |
1. A computer-implemented method, comprising: a. receiving a search term comprising a plurality of word units; b. conducting a search for an instance of the search term in a set of target data to be searched beginning at a target stream, the search including: i. selecting a first word unit in the search term as a selected search word unit, and selecting a corresponding word unit in the target stream as a selected target word unit; ii. comparing the selected search word unit with the selected target word unit and providing a match result indicative of whether a sufficient matching level is achieved, wherein when the selected target word unit is recognized handwritten word having alternates, comparing includes evaluating the alternates; and iii. determining based on the match result whether the search term sufficiently matches the target stream, and 1. if so, considering the search a success with respect to the target stream and advancing to step (C), and 2. if not, determining whether additional word units in the search stream need to be compared to determine whether the search term sufficiently matches the target stream, and a. if so, selecting a next word unit in the search term as the selected search word unit, and selecting a next corresponding word unit in the target stream as the selected target word unit and returning to step (B) (ii); and b. if not, considering the search a failure with respect to the target stream and advancing to step (C); and (C) returning information indicative of the success or failure of the search and concluding the search with respect to the target stream.
|
1. A computer-implemented method, comprising: a. receiving a search term comprising a plurality of word units; b. conducting a search for an instance of the search term in a set of target data to be searched beginning at a target stream, the search including: i. selecting a first word unit in the search term as a selected search word unit, and selecting a corresponding word unit in the target stream as a selected target word unit; ii. comparing the selected search word unit with the selected target word unit and providing a match result indicative of whether a sufficient matching level is achieved, wherein when the selected target word unit is recognized handwritten word having alternates, comparing includes evaluating the alternates; and iii. determining based on the match result whether the search term sufficiently matches the target stream, and 1. if so, considering the search a success with respect to the target stream and advancing to step (C), and 2. if not, determining whether additional word units in the search stream need to be compared to determine whether the search term sufficiently matches the target stream, and a. if so, selecting a next word unit in the search term as the selected search word unit, and selecting a next corresponding word unit in the target stream as the selected target word unit and returning to step (B) (ii); and b. if not, considering the search a failure with respect to the target stream and advancing to step (C); and (C) returning information indicative of the success or failure of the search and concluding the search with respect to the target stream. 10. The method of claim 1 wherein a corresponding word unit in the target stream has alternates, and wherein evaluating the alternates includes determining whether the search word unit exactly matches one of the alternates of the target word unit.
| 0.519177 |
10. A method for encoding video data, the method comprising: encoding pictures of a video sequence to generate a coded video sequence comprising the encoded pictures; and signaling timing parameters for the coded video sequence by directly signaling a condition for signaling a number of clock ticks corresponding to a difference of picture order count (POC) values equal to 1 in at least one of a video parameter set (VPS) syntax structure referenced by the coded video sequence and a sequence parameter set (SPS) syntax structure referenced by the coded video sequence.
|
10. A method for encoding video data, the method comprising: encoding pictures of a video sequence to generate a coded video sequence comprising the encoded pictures; and signaling timing parameters for the coded video sequence by directly signaling a condition for signaling a number of clock ticks corresponding to a difference of picture order count (POC) values equal to 1 in at least one of a video parameter set (VPS) syntax structure referenced by the coded video sequence and a sequence parameter set (SPS) syntax structure referenced by the coded video sequence. 17. The method of claim 10 , further comprising: generating a coded bitstream comprising a sequence of bits that forms a representation of the encoded pictures, wherein the timing parameters at least in part define a video buffering model of a coded picture buffer and a decoded picture buffer for verifying conformance of the coded bitstream.
| 0.646859 |
13. A system comprising: one or more processors; a database having one or more tables; an Extensible Markup Language (XML) file corresponding to a database table comprising business data within the database, wherein the XML file: identifies fields within the database table; and includes queries that are performable on the database table in response to user input; one or more data objects generated by parsing the XML file and basing the one or more data objects on information parsed from the XML file, wherein each of the generated one or more data objects are associated with the XML file, at least one of the generated one or more data objects are implementable for preparing a user interface screen for the database datable corresponding to the XML file, and at least one of the generated one or more data objects includes: the included queries that are performable on the database table in response to user input; and instructions for executing data operations on the database table corresponding to the XML file; one or more non-transitory computer-readable storage media storing computer readable instructions that when executed by the processors cause the processors to manage the database using: a receiving module configured to receive an input command from a user for executing a data operation on the database table; and a function module configured for processing the input command for maintaining the database table, the function module comprising: an identification module configured for identifying from among a plurality of XML files, the XML file corresponding to the database table as identified in the input command, a screen preparation module configured to prepare a user interface screen suitable for enabling the user to perform the data operation identified in the input command, wherein the user interface screen is prepared by utilizing data within one or more selected data objects associated with the XML file, and selection of the one or more selected objects is based on the data operation identified in the input command; and a query processing module configured to respond to the data operation identified in the input command by executing a query for maintaining the database table wherein the executed query is generated based on query information within the XML file corresponding to the database table identified within the input command.
|
13. A system comprising: one or more processors; a database having one or more tables; an Extensible Markup Language (XML) file corresponding to a database table comprising business data within the database, wherein the XML file: identifies fields within the database table; and includes queries that are performable on the database table in response to user input; one or more data objects generated by parsing the XML file and basing the one or more data objects on information parsed from the XML file, wherein each of the generated one or more data objects are associated with the XML file, at least one of the generated one or more data objects are implementable for preparing a user interface screen for the database datable corresponding to the XML file, and at least one of the generated one or more data objects includes: the included queries that are performable on the database table in response to user input; and instructions for executing data operations on the database table corresponding to the XML file; one or more non-transitory computer-readable storage media storing computer readable instructions that when executed by the processors cause the processors to manage the database using: a receiving module configured to receive an input command from a user for executing a data operation on the database table; and a function module configured for processing the input command for maintaining the database table, the function module comprising: an identification module configured for identifying from among a plurality of XML files, the XML file corresponding to the database table as identified in the input command, a screen preparation module configured to prepare a user interface screen suitable for enabling the user to perform the data operation identified in the input command, wherein the user interface screen is prepared by utilizing data within one or more selected data objects associated with the XML file, and selection of the one or more selected objects is based on the data operation identified in the input command; and a query processing module configured to respond to the data operation identified in the input command by executing a query for maintaining the database table wherein the executed query is generated based on query information within the XML file corresponding to the database table identified within the input command. 19. The system of claim 13 , further comprising a caching module configured for caching a plurality of objects corresponding to data present in the XML file, wherein the data corresponds to one or more commands associated with the table.
| 0.515765 |
1. At least one computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a computer system, cause the computer system to perform a method comprising: receiving at least one natural language input query; defining at least one term occurrence-level constraint applicable to the input query; identifying at least one fact requested in the input query; instantiating at least one iterator to traverse at least one fact index to identify at least one candidate fact that is responsive to the input query; traversing the iterator through at least a portion of the fact index; receiving at least one candidate fact from the iterator, wherein the candidate fact includes at least one term occurrence; applying the term occurrence-level constraint to the term occurrence; and selecting the candidate fact for inclusion in search results for the input query, based at least in part on applying the term occurrence-level constraint to the term occurrence.
|
1. At least one computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a computer system, cause the computer system to perform a method comprising: receiving at least one natural language input query; defining at least one term occurrence-level constraint applicable to the input query; identifying at least one fact requested in the input query; instantiating at least one iterator to traverse at least one fact index to identify at least one candidate fact that is responsive to the input query; traversing the iterator through at least a portion of the fact index; receiving at least one candidate fact from the iterator, wherein the candidate fact includes at least one term occurrence; applying the term occurrence-level constraint to the term occurrence; and selecting the candidate fact for inclusion in search results for the input query, based at least in part on applying the term occurrence-level constraint to the term occurrence. 10. The storage medium of claim 1 , further comprising instructions for instantiating at least a further iterator to perform at least one fact-level operation on the candidate fact and at least a second candidate fact, wherein the further iterator is for communicating with the iterator.
| 0.690924 |
1. A method for enforcing a nonconforming web service policy document, the method comprising: receiving, by a web service computer system, from a web service client computer system, a request for a conforming web service policy document, wherein: the conforming web service policy document is required to conform to the web service description language; the conforming web service policy document specifies security requirements between the web service computer and the web service client computer system; generating, by the web service computer system, dynamically in response to the request from the web service client computer system, the conforming web service policy document using the nonconforming web service policy document, wherein: the nonconforming web service policy document expressed in the web service description language and comprising at least one element conforming to web service description language and at least one element not conforming to the web service description language including at least a generating function unsupported by the web service description language that is used to generate a conforming document based on the request and the nonconforming web service policy document, the generating function comprising at least a silent element for identifying if another element should be included in the conforming document; the nonconforming web service policy document specifies security requirements between the web service computer and the web service client computer system; the nonconforming web service policy document is stored on the web service computer system; the content of the conforming web service policy document is generated from the nonconforming web service policy document at least partially based on a context of the web service client computer system; transmitting, by the web service computer system, to the web service client computer system, the conforming web service policy document; and enforcing, by the web service computer system, with the web service client computer system, security requirements specified in the nonconforming web service policy document, wherein: the nonconforming web service policy document comprises an enforcing function unsupported by the web service description language that is used to affect how web service policies are processed by the web service, the enforcing function comprising at least one of: a sequence element for identifying an order in which assertions are to be evaluated, or a guard element for specifying which elements to enforce based on a context of the client; the enforcing function that is unsupported by the web service description language is utilized for enforcement of the conforming web service policy document by the web service computer system; and the conforming web service policy document comprises sufficient information for the web service client computer system to comply with the security requirements specified in nonconforming web service policy document.
|
1. A method for enforcing a nonconforming web service policy document, the method comprising: receiving, by a web service computer system, from a web service client computer system, a request for a conforming web service policy document, wherein: the conforming web service policy document is required to conform to the web service description language; the conforming web service policy document specifies security requirements between the web service computer and the web service client computer system; generating, by the web service computer system, dynamically in response to the request from the web service client computer system, the conforming web service policy document using the nonconforming web service policy document, wherein: the nonconforming web service policy document expressed in the web service description language and comprising at least one element conforming to web service description language and at least one element not conforming to the web service description language including at least a generating function unsupported by the web service description language that is used to generate a conforming document based on the request and the nonconforming web service policy document, the generating function comprising at least a silent element for identifying if another element should be included in the conforming document; the nonconforming web service policy document specifies security requirements between the web service computer and the web service client computer system; the nonconforming web service policy document is stored on the web service computer system; the content of the conforming web service policy document is generated from the nonconforming web service policy document at least partially based on a context of the web service client computer system; transmitting, by the web service computer system, to the web service client computer system, the conforming web service policy document; and enforcing, by the web service computer system, with the web service client computer system, security requirements specified in the nonconforming web service policy document, wherein: the nonconforming web service policy document comprises an enforcing function unsupported by the web service description language that is used to affect how web service policies are processed by the web service, the enforcing function comprising at least one of: a sequence element for identifying an order in which assertions are to be evaluated, or a guard element for specifying which elements to enforce based on a context of the client; the enforcing function that is unsupported by the web service description language is utilized for enforcement of the conforming web service policy document by the web service computer system; and the conforming web service policy document comprises sufficient information for the web service client computer system to comply with the security requirements specified in nonconforming web service policy document. 2. The method for enforcing the nonconforming web service policy document of claim 1 , wherein the enforcing function unsupported by the web service description language further includes an enforce element that indicates whether an element in the nonconforming web service policy document is to be enforced by the web service computer system.
| 0.580448 |
7. The method of claim 1 , further comprising: highlighting the determined one or more updates to the section of content in the electronic document; and enabling a user to selectively incorporate the highlighted determined one or more updates into the section of content in the electronic document.
|
7. The method of claim 1 , further comprising: highlighting the determined one or more updates to the section of content in the electronic document; and enabling a user to selectively incorporate the highlighted determined one or more updates into the section of content in the electronic document. 8. The method of claim 7 , wherein highlighting the determined one or more updates to the section of content in the electronic document is made in the form of redlined text.
| 0.872588 |
1. A method for creating a web page in multiple languages, the method comprising: accessing, by a processor, a data-descriptive meta-language representation of a web page; in response to accessing, searching, by the processor, said data-descriptive meta-language representation for a translatable content item; after locating said translatable content item, accessing, by the processor, a translation task repository for translations corresponding to said translatable content item; in response to accessing: if said translations, or said translatable content item, are not found in the translation task repository, adding, by the processor, a translation request to the translation task repository, and generating, by the processor, a multilingual data-descriptive meta-language representation of the web page using the data-descriptive meta-language representation of the web page and data from the translation task repository, wherein the multilingual data-descriptive meta-language representation includes a plurality of translations for said translatable content item and selection logic for selection of ones of said plurality of translations included in the multilingual data-descriptive meta-language representation; and converting, by the processor, said multilingual data-descriptive meta-language representation into an executable file for said web page, wherein said executable file includes said selection logic to generate said web page using selected ones of said translations; determining, by the processor, if the translation task repository has been modified; and in response to determining that the translation task repository has been modified, again accessing the translation task repository for translations corresponding to said translatable content item and generating an updated multilingual data-descriptive meta-language representation of the web page.
|
1. A method for creating a web page in multiple languages, the method comprising: accessing, by a processor, a data-descriptive meta-language representation of a web page; in response to accessing, searching, by the processor, said data-descriptive meta-language representation for a translatable content item; after locating said translatable content item, accessing, by the processor, a translation task repository for translations corresponding to said translatable content item; in response to accessing: if said translations, or said translatable content item, are not found in the translation task repository, adding, by the processor, a translation request to the translation task repository, and generating, by the processor, a multilingual data-descriptive meta-language representation of the web page using the data-descriptive meta-language representation of the web page and data from the translation task repository, wherein the multilingual data-descriptive meta-language representation includes a plurality of translations for said translatable content item and selection logic for selection of ones of said plurality of translations included in the multilingual data-descriptive meta-language representation; and converting, by the processor, said multilingual data-descriptive meta-language representation into an executable file for said web page, wherein said executable file includes said selection logic to generate said web page using selected ones of said translations; determining, by the processor, if the translation task repository has been modified; and in response to determining that the translation task repository has been modified, again accessing the translation task repository for translations corresponding to said translatable content item and generating an updated multilingual data-descriptive meta-language representation of the web page. 5. The method of claim 1 wherein said translatable content item comprises at least one of: a content-descriptive tag; and text.
| 0.5 |
1. A method performed by at least one processor, the method comprising: accessing a document containing a plurality of facts; detecting a chronological value for each of the plurality of facts contained in the document; detecting a subject reference for each of the plurality of facts contained in the document, wherein the subject reference includes at least one of a person, a place, an object, or an event; determining an identity of the subject reference for each of the plurality of facts from a context in the document and a detection rule; and assembling the plurality of facts into a record based on the determined identity and the chronological value for each of the plurality of facts.
|
1. A method performed by at least one processor, the method comprising: accessing a document containing a plurality of facts; detecting a chronological value for each of the plurality of facts contained in the document; detecting a subject reference for each of the plurality of facts contained in the document, wherein the subject reference includes at least one of a person, a place, an object, or an event; determining an identity of the subject reference for each of the plurality of facts from a context in the document and a detection rule; and assembling the plurality of facts into a record based on the determined identity and the chronological value for each of the plurality of facts. 4. The method of claim 1 wherein the chronological value includes a relative chronology term and the method further comprises converting the relative chronology term into a date based on the relative chronology term and a reference point.
| 0.675115 |
13. The media of claim 10 , wherein the first function outputs a first return value and the second function outputs a second return value.
|
13. The media of claim 10 , wherein the first function outputs a first return value and the second function outputs a second return value. 14. The media of claim 13 , wherein the implementation of the first function converts the second return value of the second function to the data type specified by the first return value of the first function, the first return value specified by the first interface.
| 0.876845 |
1. A data recording and reproducing apparatus comprising: a memory; a signal processor which captures images, processes the captured images to generate image data, and generates an image file comprising the image data; a speech recognition unit which recognizes first speech, which is related to the image data, and converts the first speech into first text data; a controller which generates first metadata using the first text data and adds the generated first metadata to the image file, wherein the controller generates a folder having a name based on the first text data and wherein the controller stores the image file in the folder having the name based on the first text data; and a storage unit which stores the generated image file a display unit which displays an image from the captured images represented by the image data included in the image file or displays the first metadata along with the image, wherein the first metadata comprises a description tag which is generated using the first text data and a keyword tag which is generated by extracting keywords from the first text data, and wherein, when newly input second speech is converted into second text data by the speech recognition unit while the images stored in the image file are displayed on the display unit, the controller generates second metadata from the second text data and compares if the second metadata is different with the first metadata in the image file, and if the second metadata is different from the first metadata in the image file, the controller adds the second metadata to the first metadata in the image file.
|
1. A data recording and reproducing apparatus comprising: a memory; a signal processor which captures images, processes the captured images to generate image data, and generates an image file comprising the image data; a speech recognition unit which recognizes first speech, which is related to the image data, and converts the first speech into first text data; a controller which generates first metadata using the first text data and adds the generated first metadata to the image file, wherein the controller generates a folder having a name based on the first text data and wherein the controller stores the image file in the folder having the name based on the first text data; and a storage unit which stores the generated image file a display unit which displays an image from the captured images represented by the image data included in the image file or displays the first metadata along with the image, wherein the first metadata comprises a description tag which is generated using the first text data and a keyword tag which is generated by extracting keywords from the first text data, and wherein, when newly input second speech is converted into second text data by the speech recognition unit while the images stored in the image file are displayed on the display unit, the controller generates second metadata from the second text data and compares if the second metadata is different with the first metadata in the image file, and if the second metadata is different from the first metadata in the image file, the controller adds the second metadata to the first metadata in the image file. 2. The apparatus of claim 1 , wherein, if the first speech is input to the speech recognition unit to be converted into the first text data when no image data is displayed on the display unit, the controller generates a folder having a name based on the first text data.
| 0.67119 |
1. One or more computer-readable storage media devices having computer-readable instructions thereon which, when executed, implement a method comprising: presenting a user interface that enables a user to create a tag that is to be used to tag one or more digital objects; defining the tag using the user interface; strongly typing the tag by providing a unique ID that is associated with an individual or group of people, wherein the tag is configured to associate a changeable property with the unique ID, the changeable property being a name, wherein different names associated with a same unique ID are automatically resolved to the same unique ID independent of a user resolving the different names; using the tag to present multiple user-selectable communication options to the user that the user can select, via a cursor, to cause initiation of a communication with a tagged entity, responsive to the user interacting with the one or more digital objects; and presenting the tag in a navigation tree that is displayed on the user interface and which includes a tag node that is expandable to expose a list of previously created tags.
|
1. One or more computer-readable storage media devices having computer-readable instructions thereon which, when executed, implement a method comprising: presenting a user interface that enables a user to create a tag that is to be used to tag one or more digital objects; defining the tag using the user interface; strongly typing the tag by providing a unique ID that is associated with an individual or group of people, wherein the tag is configured to associate a changeable property with the unique ID, the changeable property being a name, wherein different names associated with a same unique ID are automatically resolved to the same unique ID independent of a user resolving the different names; using the tag to present multiple user-selectable communication options to the user that the user can select, via a cursor, to cause initiation of a communication with a tagged entity, responsive to the user interacting with the one or more digital objects; and presenting the tag in a navigation tree that is displayed on the user interface and which includes a tag node that is expandable to expose a list of previously created tags. 7. The one or more computer-readable storage media devices of claim 1 , wherein the unique ID comprises an email address.
| 0.614469 |
7. A device, comprising a processing module embodied as one or more computer program products stored in non-transitory machine-readable media, said processing module being configured for processing of extensible markup language (XML) data by use of a finite state automaton, wherein: said XML data is based on a predetermined XML schema; said finite state automaton comprises states and transitions, said states and transitions being arranged based on said predetermined XML schema; at least one transition of said transitions, which refers to an element or attribute of said XML schema comprises a variable length binary code, said variable length binary code being arranged to code said element or attribute of said XML schema; at least one transition comprises a fixed length binary code as a further binary code, said fixed length binary code being arranged to code said element or attribute of said XML schema; wherein said fixed length binary code represents a code according to a first binary XML format; wherein said variable length binary code represents a code according to a second binary XML format and wherein said finite state automaton is generated by: generating a first finite state automaton according to said first binary XML format by use of said XML schema; generating a second finite state automaton according to said second binary XML format by use of said XML schema; identifying element and attribute transitions of same elements and attributes in both the first finite state automaton and the second finite state automaton; concatenating the fixed length binary codes in said second finite state automaton assigned to code transitions or said second finite state automaton; and wherein the variable length binary code results from a concatenation of the fixed length binary codes.
|
7. A device, comprising a processing module embodied as one or more computer program products stored in non-transitory machine-readable media, said processing module being configured for processing of extensible markup language (XML) data by use of a finite state automaton, wherein: said XML data is based on a predetermined XML schema; said finite state automaton comprises states and transitions, said states and transitions being arranged based on said predetermined XML schema; at least one transition of said transitions, which refers to an element or attribute of said XML schema comprises a variable length binary code, said variable length binary code being arranged to code said element or attribute of said XML schema; at least one transition comprises a fixed length binary code as a further binary code, said fixed length binary code being arranged to code said element or attribute of said XML schema; wherein said fixed length binary code represents a code according to a first binary XML format; wherein said variable length binary code represents a code according to a second binary XML format and wherein said finite state automaton is generated by: generating a first finite state automaton according to said first binary XML format by use of said XML schema; generating a second finite state automaton according to said second binary XML format by use of said XML schema; identifying element and attribute transitions of same elements and attributes in both the first finite state automaton and the second finite state automaton; concatenating the fixed length binary codes in said second finite state automaton assigned to code transitions or said second finite state automaton; and wherein the variable length binary code results from a concatenation of the fixed length binary codes. 8. The device according to claim 7 , said device comprising a transmitting module, said transmitting module being operable to transmit XML data processed by said processing module.
| 0.574448 |
48. A method for decoding a text subtitle stream downloaded from an external source, the method comprising: loading the text subtitle stream into a subtitle loading buffer, the text subtitle stream including a style segment defining region styles and one or more presentation segments, each presentation segment including presentation information and text data for at least one region; parsing the text subtitle stream into composition information, rendering information, and the text data for each region; storing the parsed composition and rendering information in a first buffer, and further storing the text data in a second buffer, the text data including one or more text strings for each region; rendering the text strings stored in the second buffer into a bitmap object for each region according to the rendering information, and storing the rendered bitmap object into a third buffer; and composing the stored bitmap object in a graphics plane for each region according to the composition information.
|
48. A method for decoding a text subtitle stream downloaded from an external source, the method comprising: loading the text subtitle stream into a subtitle loading buffer, the text subtitle stream including a style segment defining region styles and one or more presentation segments, each presentation segment including presentation information and text data for at least one region; parsing the text subtitle stream into composition information, rendering information, and the text data for each region; storing the parsed composition and rendering information in a first buffer, and further storing the text data in a second buffer, the text data including one or more text strings for each region; rendering the text strings stored in the second buffer into a bitmap object for each region according to the rendering information, and storing the rendered bitmap object into a third buffer; and composing the stored bitmap object in a graphics plane for each region according to the composition information. 56. The method of claim 48 , wherein the composition information includes at least a portion of region style information specifying one of the region styles defined by the style segment.
| 0.86234 |
19. A device for processing video data comprising: a memory configured to store the video data; and a processor in communication with the memory and configured to: receive a coded video sequence comprising encoded pictures of a video sequence; receive timing parameters for the coded video sequence that include a condition for signaling a number of clock ticks corresponding to a difference of picture order count (POC) values equal to 1 directly in at least one of a video parameter set (VPS) syntax structure referenced by the coded video sequence and a sequence parameter set (SPS) syntax structure referenced by the coded video sequence; and process the coded video sequence according to the timing parameters.
|
19. A device for processing video data comprising: a memory configured to store the video data; and a processor in communication with the memory and configured to: receive a coded video sequence comprising encoded pictures of a video sequence; receive timing parameters for the coded video sequence that include a condition for signaling a number of clock ticks corresponding to a difference of picture order count (POC) values equal to 1 directly in at least one of a video parameter set (VPS) syntax structure referenced by the coded video sequence and a sequence parameter set (SPS) syntax structure referenced by the coded video sequence; and process the coded video sequence according to the timing parameters. 23. The device of claim 19 , wherein the condition does not include a dependency on a syntax element in a hypothetical reference decoder (HRD) parameters syntax structure of the VPS syntax structure or the SPS syntax structure.
| 0.634975 |
12. A computer-implemented system for assessing speech pronunciation, comprising: a processor; a non-transitory computer-readable memory comprising instructions for causing the processor to perform steps including: receiving speech for analysis via a computer-readable storage medium; performing automatic speech recognition on speech using a processor to generate word hypotheses for the speech, the word hypotheses identifying a set words recognized by an automated speech recognizer in the speech using one or more data processors; performing time alignment between the speech and the word hypotheses using the automatic speech recognizer to associate the word hypotheses with corresponding sounds of the speech; calculating statistics regarding individual words and phonemes of the word hypotheses using the processor based on said alignment; calculating a plurality of features for use in assessing pronunciation of the speech based on the statistics using the processor; and calculating an assessment score based on one or more of the calculated features.
|
12. A computer-implemented system for assessing speech pronunciation, comprising: a processor; a non-transitory computer-readable memory comprising instructions for causing the processor to perform steps including: receiving speech for analysis via a computer-readable storage medium; performing automatic speech recognition on speech using a processor to generate word hypotheses for the speech, the word hypotheses identifying a set words recognized by an automated speech recognizer in the speech using one or more data processors; performing time alignment between the speech and the word hypotheses using the automatic speech recognizer to associate the word hypotheses with corresponding sounds of the speech; calculating statistics regarding individual words and phonemes of the word hypotheses using the processor based on said alignment; calculating a plurality of features for use in assessing pronunciation of the speech based on the statistics using the processor; and calculating an assessment score based on one or more of the calculated features. 13. The system of claim 12 , wherein the steps further comprise excluding words not reliably recognized in generating the word hypotheses from contributing to the assessment score.
| 0.812738 |
17. A non-transitory computer-readable program medium storing instructions that when executed by a processor of a computer system cause the computer system to: gather, with one or more accelerometers, first driving skill data during two or more driving sessions of a first student driver, wherein the first driving skill data includes at least one of first acceleration data, first braking data, or first steering data, and wherein the first driving skill data includes at least one of a first timestamp or a first location stamp, generate two or more driving session reports corresponding to the two or more driving sessions including calculating, for each of the two or more driving sessions, at least one of a first student driver acceleration skill score based on the first acceleration data, a first student driver braking skill score based on the first braking data, or a first student driver steering skill score based on the first steering data, cause the two or more driving session reports to be displayed to a driving instructor, in response to the display of the two or more driving session reports, receive comments from the driving instructor about at least one of the two or more driving sessions of the first student driver, gather, with the one or more accelerometers, second driving skill data during a secondary driving session of a second student driver, wherein the second driving skill data includes at least one of second acceleration data, second braking data, or second steering data and wherein the second driving skill data includes at least one of a second timestamp or a second location stamp, generate a second driving session report including calculating at least one of a second student driver acceleration skill score based on the second acceleration data, a second student driver braking skill score based on the second braking data, or a second student driver steering skill score based on the second steering data, store, on the non-transitory computer-readable medium, at least one of: (i) the two or more driving session reports corresponding to the first student driver along with the received comments from the driving instructor, or (ii) the second driving session report.
|
17. A non-transitory computer-readable program medium storing instructions that when executed by a processor of a computer system cause the computer system to: gather, with one or more accelerometers, first driving skill data during two or more driving sessions of a first student driver, wherein the first driving skill data includes at least one of first acceleration data, first braking data, or first steering data, and wherein the first driving skill data includes at least one of a first timestamp or a first location stamp, generate two or more driving session reports corresponding to the two or more driving sessions including calculating, for each of the two or more driving sessions, at least one of a first student driver acceleration skill score based on the first acceleration data, a first student driver braking skill score based on the first braking data, or a first student driver steering skill score based on the first steering data, cause the two or more driving session reports to be displayed to a driving instructor, in response to the display of the two or more driving session reports, receive comments from the driving instructor about at least one of the two or more driving sessions of the first student driver, gather, with the one or more accelerometers, second driving skill data during a secondary driving session of a second student driver, wherein the second driving skill data includes at least one of second acceleration data, second braking data, or second steering data and wherein the second driving skill data includes at least one of a second timestamp or a second location stamp, generate a second driving session report including calculating at least one of a second student driver acceleration skill score based on the second acceleration data, a second student driver braking skill score based on the second braking data, or a second student driver steering skill score based on the second steering data, store, on the non-transitory computer-readable medium, at least one of: (i) the two or more driving session reports corresponding to the first student driver along with the received comments from the driving instructor, or (ii) the second driving session report. 20. The non-transitory computer-readable program medium of claim 17 , storing further instructions that when executed by the processor cause the computer system to: gather, with the one or more image capture devices, student driver gaze skill data during the two or more driving sessions of the first student driver, wherein the student driver gaze skill data includes a plurality of gaze location logs, the plurality of gaze location logs including at least one of a respective timestamp or a respective location stamp; and wherein the instructions to generate the two or more driving session reports include instructions to calculate a gaze location distribution and to calculate one of more of a mirror checking score, a gaze fixation score, or a scanning frequency score.
| 0.51243 |
1. A method comprising: determining to store a spatial document index for a corpus of documents, wherein the spatial document index indexes documents in the corpus according to spatial references found within the documents; determining to store a plurality of spatial keyword document indexes for the corpus of documents, wherein the spatial keyword document indexes are derived from the spatial document index, are for a different keyword, and indexes those documents among the corpus that are responsive to that keyword; and intersecting a portion of the spatial document index and selected indexes among the plurality of spatial keyword document indexes to identify a result set of those documents from among the corpus of documents that are responsive to a query.
|
1. A method comprising: determining to store a spatial document index for a corpus of documents, wherein the spatial document index indexes documents in the corpus according to spatial references found within the documents; determining to store a plurality of spatial keyword document indexes for the corpus of documents, wherein the spatial keyword document indexes are derived from the spatial document index, are for a different keyword, and indexes those documents among the corpus that are responsive to that keyword; and intersecting a portion of the spatial document index and selected indexes among the plurality of spatial keyword document indexes to identify a result set of those documents from among the corpus of documents that are responsive to a query. 11. The method of claim 1 , wherein the spatial document index and at least one of the spatial keyword document indexes comprise nodes within corresponding tree data structures, said method further comprising: identifying those indexes among the spatial keyword document indexes that are responsive to said one or more keywords, the identified indexes being said selected ones of the plurality of spatial keyword document indexes; and to generate said portion of the spatial document index, trimming away all nodes from the spatial document index that correspond to coordinates outside of a region bounded by the spatial information.
| 0.5 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.