Combining chemical structure data with unstructured data for predictive analytics in a cognitive system
US11093842B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 13, 2018 |
| Grant date | Aug 17, 2021 |
| Priority date | — |
| Expiry date | Apr 28, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16C20/80
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
According to embodiments of the present invention, an entity may be represented by an unstructured feature vector comprising a plurality of features extracted from unstructured data using semantic analysis and a structural feature vector comprising a plurality of features from chemical structure data. A similarity matrix may be used to compare entities and generate a similarity score, based on both the unstructured feature vector and the structural feature vector for each entity. In some aspects, a user may enter a query (from which a chemical structural feature vector is dynamically generated) to compare against entities having unstructured and/or structural feature vectors, stored in a database.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.