Machine learning for locating information in knowledge graphs
US12360992B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 12, 2021 |
| Grant date | Jul 15, 2025 |
| Priority date | — |
| Expiry date | May 16, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are for using machine learning models to locate information in an organizational graph. A search system may use techniques described herein to determine relevant data (e.g., organizational knowledge) to retrieve from a knowledge graph for input to a machine learning model. The search system may retrieve more relevant data from the knowledge graph through the use of time data that may enable the search system to avoid outdated information. The search system may also limit the data that may be used in determining an answer to a query. By doing so, the search system may be able to answer queries more efficiently (e.g., using less computing resources, less processing power, etc.).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.