Interacting with ontology-based databases using machine learning
US12405983B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 27, 2024 |
| Grant date | Sep 2, 2025 |
| Priority date | — |
| Expiry date | Mar 27, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system is programmed to train or fine-tune a large language model (LLM) for converting a user query in natural language to database queries for accessing a set of databases where data related to an ontology is stored. The set of databases includes a graph database and stores metadata and actual data of the ontology. The system is further programed to receive a specific user query exploring links between objects in the ontology and leads to updates to the ontology. The system is programmed to then execute the LLM to obtain a set of database queries, including one or more graph queries. Furthermore, the system is programmed to submit the set of databased queries to the set of databases, which implements the updates to the ontology. The system is then programmed to receive data query results and transmit them in response to the specific user query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.