Meiduo Chong

The work introduces EvoOntology, which encapsulates an ontology as an MCP server with schema, content, and tool layers, builds an initial ontology via a builder agent issuing probe queries, and continuously refines it through attribution-guided typed edits admitted only after backbone-conditional paired evaluation, consistently outperforming ReAct baselines and static semantic-layer baselines on three data-agent benchmarks with six LLM backbones.

The work introduces EvoOntology, which encapsulates an ontology as an MCP server with schema, content, and tool layers, builds an initial ontology via a builder agent issuing probe queries, and continuously refines it through attribution-guided typed edits admitted only after backbone-conditional paired evaluation, consistently outperforming ReAct baselines and static semantic-layer baselines on three data-agent benchmarks with six LLM backbones.