Tools and techniques for extracting knowledge from unstructured data retrieved from personal data sources

A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved perso...

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Bibliographische Detailangaben
Hauptverfasser: Donneau-Golencer, Thierry, Mark, William Scott, Yarlagadda, Madhu, Nitz, Kenneth C, Hulen, Corey, Singh, Rajan
Format: Patent
Sprache:eng
Schlagworte:
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Beschreibung
Zusammenfassung:A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.