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Learn how Large Language Models can be used to repair and improve Knowledge Graphs through this 28-minute research presentation from Lyon1 University and CNRS LIRIS. Explore the empirical study "Graph Repairs with Large Language Models" conducted by Hrishikesh Terdalkar, Angela Bonifati, and Andrea Mauri, which demonstrates practical applications of AI agents in knowledge graph maintenance and correction. Discover methodologies for leveraging LLMs to identify and fix inconsistencies, missing information, and structural issues within knowledge graphs, with specific focus on real-world applications including Apple MacBook-related data structures. Gain insights into the intersection of natural language processing and graph databases, understanding how modern AI research is advancing automated knowledge graph curation and repair processes.
