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EvoOntology: A Self-Evolving Ontology Layer for Data Agents

Paper recorded by Signals 4 on 2026-09-14 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-14 on arXiv · recorded by Signals 4 on 2026-09-15

Category: cs.CL · 自然语言处理 · first seen 2026-09-15

Abstract

Data agents aim to fulfill natural-language instructions over heterogeneous data, including tables, files, and databases. However, data agents face a challenging agent-data gap: heterogeneous data resides outside the agent, while the agent can access it (e.g., column names and file paths) only through generic tools. Existing approaches either let agents directly explore raw data sources or inject

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#43 most recent of 186 cs.CL papers we have recorded · ↑ newer: Learning to Coach for Experiential Learning · ↓ older: Enabling Streaming User Transcription in Full-Duplex Speech-to-Speech
Cite this page: EvoOntology: A Self-Evolving Ontology Layer for Data Agents: the #43 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evoontology-a-self-evolving-ontology-layer-for-data-agents.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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