Methods for representing and storing data in a graph data structure using artificial intelligence
US11520828B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 24, 2020 |
| Grant date | Dec 6, 2022 |
| Priority date | — |
| Expiry date | Mar 30, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method for representing and storing data in an extendable graph data structure using artificial intelligence includes obtaining business requirements data, business workflow data, and dictionary data. A relationship between one or more entities in the obtained business requirement data and the business workflow data is identified using the obtained dictionary data and applying a natural language processing technique and topic based trend identification from existing entities and associated attributes. An extendable graph data structure represented by an enriched adjacency matrix for the identified relationship between the one or more entities is generated and stored. One or more trends are identified using the stored graph data structure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.