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agent-data gap

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papersTODAY 04:00 UTC

EvoOntology Proposes Self-Evolving Ontology Layer for Data Agents

A new arXiv paper introduces EvoOntology, a layer designed to help data agents work across heterogeneous sources such as tables, files, and databases. The authors frame the problem as an "agent-data gap," where relevant data sits outside the agent while the agent can only reach limited context. The proposed ontology layer is meant to evolve alongside the data so agents can better interpret and query it.

agents/ontology/research/data-agents