Developing object ontologies and data usage models using machine learning
US11748395B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 25, 2021 |
| Grant date | Sep 5, 2023 |
| Priority date | — |
| Expiry date | Aug 17, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An enterprise ontology, an application data usage model, and/or cross-application data dependencies may be developed using artificial intelligence. Using pattern recognition and/or information extraction techniques, the artificial intelligence may analyze application source code to identify common DDL or SQL statements to formulate an ontology and/or a usage model for the application. A plurality of application ontologies and/or data usage models may be used to build a semantic hub. The semantic hub may be analyzed to identify data redundancies, data use frequency, potential data quality challenges, and/or data dependencies between applications to produce a data abstraction model that allows legacy applications to communicate with one or more data stores.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.