AUTOMATIC CONTEXT DISCOVERY

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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Bibliographische Detailangaben
Hauptverfasser: 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
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
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
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Beschreibung
Zusammenfassung: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.