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AutoSchemaKG is a knowledge graph construction framework that combines schema generation via conceptualization with automatic knowledge graph completion. It automatically generates schemas and completes the graph to improve structure, coverage, and quality. The project targets addressing challenges in building high-quality knowledge graphs.
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AutoSchemaKG : An academic/open-source framework built for schema induction.
AutoSchemaKG / Research Frameworks : Academic and experimental frameworks implementing automated schema induction