Deep learning based automatic ontology extraction to detect new domain knowledge
US11868715B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 4, 2021 |
| Grant date | Jan 9, 2024 |
| Priority date | — |
| Expiry date | Mar 21, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/027
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system processes unstructured data to identify a plurality of subsets of text in a set of text in the unstructured data and determines, for a subset from the plurality of subsets, probabilities based on a position of the subset in the set of text, a part of speech (POS) of each word in the subset, and POSs of one or more words on left and right hand sides of the subset, a number of the one or more words being selected based on a length of the set of text. The system generates a feature vector for the subset, the feature vector including the probabilities and additional features of the subset; and classifies, using a classifier, the subset into one of a plurality of classes based on the feature vector for the subset, the plurality of classes representing an ontology of a domain of knowledge.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.