Author

Yi-Ming Zhang

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Review Aug 2026

AutoSchema: Live Schema Grounding for Agentic Text-to-Sparql over Heterogeneous Knowledge Graphs

Life science knowledge graphs make large collections of structured data available through SPARQL, but each resource uses its own schema, identifiers, and links. TogoMCP helps language model agents query these resources by providing curated Metadata Interoperability Exchange files. Creating and maintaining these files s...

Yi-Ming Zhang, Koji Tsuda · 0 citations

Jul 2026

SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation

AGA is proposed, a training-free framework that turns property exploration into a schema-constrained grounding operation, and achieves the highest F1 on all nine settings and the highest exact-match accuracy on eight, while reducing empty-result queries across all reported Wikidata settings.

Yi-Ming Zhang, Koji Tsuda · arXiv.org · 0 citations