Machine learning using knowledge graphs
US12072918B1 · kind B1 · utility
2Cited by
18References
17Claims
0Family size
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Key dates
| Filing date | Dec 28, 2021 |
| Grant date | Aug 27, 2024 |
| Priority date | — |
| Expiry date | Aug 18, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method may include retrieving, over a network device, data from a data source, the data formatted according to a relational database schema; converting, using at least one processor, the data from the data source into a knowledge graph; training, using the at least one processor, a neural network using triples from the knowledge graph, wherein a loss function of the neural network is based on a distance between a true triple from the knowledge graph and a corrupt triple; and after the training, storing weights of a hidden layer of the neural network as a vector space representation of entities in the knowledge graph.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.