RDF Knowledge Graph

RDF knowledge graphs (KGs) are structured data representations using Resource Description Framework (RDF) triples, aiming to organize and interconnect information from diverse sources for improved knowledge discovery and reasoning. Current research focuses on enhancing KG creation efficiency through automated processes and optimized data mapping, as well as leveraging KGs for fact-checking and enriching information from sources like ChatGPT, improving accuracy and providing provenance. The resulting KGs find applications in various fields, including scientific literature analysis, semantic search, and the development of more robust and reliable AI systems.