In the proposed knowledge graph expansion workflow, high-confidence predictions are automatically injected into the knowledge graph, while low-confidence predictions are reviewed by domain experts who validate results, insert new relations, provide feedback by adding new data to the training set, assess data quality, and identify potential disambiguation mistakes.

Authors

• Person: Not available Organization: Frontiers
  Combining large language models with enterprise knowledge graphs

Sources

• Combining large language models with enterprise knowledge graphs www.frontiersin.org Frontiers via serper

Referenced by nodes (1)

• Knowledge Graph concept