Entity resolution and identity management in big, noisy, and/or unstructured data
US10180969B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 22, 2017 |
| Grant date | Jan 15, 2019 |
| Priority date | — |
| Expiry date | Mar 22, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/288
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an environment containing big data, noisy data, and/or unstructured data, it is desirable to identify an entity referenced by input data. The entity can be identified by generating records corresponding to characteristics of the entity based on the input data. These records can be merged when it is determined that more than one record corresponds to the same entity. By doing so it is possible to more easily identify and classify information related to an entity, though such information may have been obtained in a manner that might otherwise be deemed unstructured or noisy. The method can be applied across large sets of data (“big data”) to obtain meaning from data that may otherwise be unclassifiable to a human observer.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.