公开(公告)号：US11100065B2

公开(公告)日：2021-08-24

申请号：US16165242

申请日：2018-10-19

Applicant: salesforce.com, inc.

Inventor： Thierry Donneau-Golencer ,  Rajan Singh ,  Madhu Yarlagadda ,  Corey Hulen ,  Kenneth C. Nitz ,  William Scott Mark

IPC: G06F7/00 ,  G06F16/22 ,  G06F16/335 ,  G06F16/332 ,  G06F16/2452

Abstract: 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.

公开(公告)号：US20190050433A1

公开(公告)日：2019-02-14

申请号：US16165305

申请日：2018-10-19

Applicant: salesforce.com, inc.

Inventor： Thierry Donneau-Golencer ,  Rajan Singh ,  Madhu Yarlagadda ,  Corey Hulen ,  Kenneth C. Nitz ,  William Scott Mark

IPC: G06F17/30

Abstract: 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.

公开(公告)号：US11093467B2

公开(公告)日：2021-08-17

申请号：US16165305

申请日：2018-10-19

Applicant: salesforce.com, inc.

Inventor： Thierry Donneau-Golencer ,  Rajan Singh ,  Madhu Yarlagadda ,  Corey Hulen ,  Kenneth C. Nitz ,  William Scott Mark

IPC: G06F7/00 ,  G06F16/22 ,  G06F16/335 ,  G06F16/332 ,  G06F16/2452

Abstract: 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.

公开(公告)号：US10140322B2

公开(公告)日：2018-11-27

申请号：US15234871

申请日：2016-08-11

Applicant: salesforce.com, inc.

Inventor： Thierry Donneau-Golencer ,  Rajan Singh ,  Madhu Yarlagadda ,  Corey Hulen ,  Kenneth C. Nitz ,  William Scott Mark

IPC: G06F7/00 ,  G06F17/30

Abstract: 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.

公开(公告)号：US20160350342A1

公开(公告)日：2016-12-01

申请号：US15234871

申请日：2016-08-11

Applicant: salesforce.com, inc.

Inventor： Thierry DONNEAU-GOLENCER ,  Rajan Singh ,  Madhu Yarlagadda ,  Corey Hulen ,  Kenneth C. Nitz ,  William Scott Mark

IPC: G06F17/30

CPC classification number: G06F17/30312 ,  G06F17/3043 ,  G06F17/30654 ,  G06F17/30702

Abstract: 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.

公开(公告)号：US20190050432A1

公开(公告)日：2019-02-14

申请号：US16165242

申请日：2018-10-19

Applicant: salesforce.com, inc.

Inventor： Thierry DONNEAU-GOLENCER ,  Rajan Singh ,  Madhu Yarlagadda ,  Corey Hulen ,  Kenneth C. Nitz ,  William Scott Mark

IPC: G06F17/30

Abstract: 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.