EvoOntology: a self-evolving ontology layer bridges the agent-data gap
RUC-DataLab · hf · 2026-09-21
RUC-DataLab introduces EvoOntology, a self-evolving ontology layer for data agents struggling with heterogeneous data (tables, files, databases).
- Ontology is packaged as an MCP server with schema, content and tool layers that agents can query at runtime
- A builder agent constructs the ontology autonomously
- A self-evolution loop refines it via attribution-guided typed edits, accepted only after backbone-conditional paired evaluation
Across three data-agent benchmarks and four LLM backbones, EvoOntology consistently beats strong baselines and prior semantic-layer approaches. Code is open source at github.com/ruc-datalab/EvoOntology.
Related event: RUC Team Proposes EvoOntology to Close the Agent-Data Gap(2 posts)→
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