AUTOMATIC CONTEXT DISCOVERY
An analysis module, when triggered by a synchronization framework when a new data item is added to a project data store, runs a series of analysis feature extractors on the new content. An analysis may be conducted, and features of interest may be extracted from the data item. The analysis utilizes...
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| creator | LUDWIG, JONATHAN, C CALDWELL, NICHOLAS CHITRAPU, ARUN O'KEEFE, COURTNEY, ANNE HORST, PAULUS, WILLEM, TER WALVEKAR, MUKTA, PRAMOD CHILAKAMARRI, VENKAT, PRADEEP CHILDS, BENJAMIN, EDWARD DIMMICK, STEVEN CARPIO, DIEGO, PEREZ DEL POWELL, KEVIN KOHLMEIER, BERNHARD, SJ AZZAM, SALIHA SHAH, JIGNESH SHARMA, ASHISH KUO, SHIUN-ZU MANIS, KIMBERLY PHAN, TU, HUY |
| description | An analysis module, when triggered by a synchronization framework when a new data item is added to a project data store, runs a series of analysis feature extractors on the new content. An analysis may be conducted, and features of interest may be extracted from the data item. The analysis utilizes natural language processing, as well as other technologies, to provide an automatic or semi-automatic extraction of information. The extracted features of interest are saved as metadata within the project data store, and are associated with the data item from which it was extracted. The analysis module may be utilized to discover additional information that may be gleaned from content that is already in the project data store. |
| format | Patent |
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An analysis may be conducted, and features of interest may be extracted from the data item. The analysis utilizes natural language processing, as well as other technologies, to provide an automatic or semi-automatic extraction of information. The extracted features of interest are saved as metadata within the project data store, and are associated with the data item from which it was extracted. The analysis module may be utilized to discover additional information that may be gleaned from content that is already in the project data store.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | AUTOMATIC CONTEXT DISCOVERY |
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