Neural-based ontology generation and refinement
US11520986B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 24, 2020 |
| Grant date | Dec 6, 2022 |
| Priority date | — |
| Expiry date | Jan 28, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the present disclosure relate to neural-based ontology generation and refinement. A set of input data can be received. A set of entities can be extracted from the set of input data using a named-entity recognition (NER) process, each entity having a corresponding label, the corresponding labels making up a label set. The label set can be compared to concepts in a set of reference ontologies. Labels that match to concepts in the set of reference ontologies can be selected as a candidate concept set. Relations associated with the candidate concepts within the set of reference ontologies can be identified as a candidate relation set. An ontology can then be generated using the candidate concept set and candidate relation set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.