Automated entity correlation and classification across heterogeneous datasets
US10915233B2 · kind B2 · utility
3Cited by
10References
26Claims
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Key dates
| Filing date | Sep 24, 2015 |
| Grant date | Feb 9, 2021 |
| Priority date | — |
| Expiry date | Jul 19, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2200/24
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure describes techniques for entity classification and data enrichment of data sets. A data enrichment system is disclosed that can extract, repair, and enrich datasets, resulting in more precise entity resolution and classification for purposes of subsequent indexing and clustering. Disclosed techniques may include performing entity recognition to identify segments of interest that relate to an entity. Related data may be analyzed for classification, which can be used to transform the data for enrichment to its users.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.