Tools and techniques for extracting knowledge from unstructured data retrieved from personal data sources
US10140322B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 11, 2016 |
| Grant date | Nov 27, 2018 |
| Priority date | — |
| Expiry date | Aug 11, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/337
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.