DataFunTalk

Oct 1, 2026 · Artificial Intelligence

EvoOntology: Self-Evolving Ontology Boosts Data Agent Accuracy 17.8% While Cutting Tokens 20%

Renmin University's EvoOntology introduces a self-evolving ontology layer for data agents that transforms static semantic layers into runtime services, using execution traces to continuously patch content, tool, and schema layers via a builder agent and evolution agent with validation gates, improving trajectory-wise accuracy by 17.8% and reducing total token usage by 20% across multiple benchmarks.