Automatic Knowledge Graph Extension by Aligning Entity Types Across Multiple Sources

This study proposes a framework for automatically extending a reference knowledge graph by extracting and integrating relevant concepts from multiple candidate knowledge graphs, overcoming the challenge of semantic heterogeneity through an entity type recognition method.