Pre-emptive graph search for guided natural language interactions with connected data systems
US12164571B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 8, 2022 |
| Grant date | Dec 10, 2024 |
| Priority date | — |
| Expiry date | Sep 8, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/90332
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed to provide guided natural language interactions with a connected data system, such as a graph database. In various embodiments, natural language input associated with a graph database query associated with a graph data set is received. The natural language input is processed to generate a set of candidate strings. At least a subset of the candidate strings is mapped to an entity in the graph data set. The entity and data comprising the graph data are used set to determine a candidate graph pattern associated with the graph database query. The candidate graph pattern is used to guide a user associated with the natural language input to refine the graph database query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.