AI RESEARCH
Do Agents Need Semantic Metadata? A Comparative Study in Agentic Data Retrieval
arXiv CS.AI
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ArXi:2605.28787v1 Announce Type: cross In the era of autonomous agents, machine-actionable data is critical for data-driven workflows. For than a decade, semantic metadata like schema.org has anchored the FAIR principles (Findable, Accessible, Interoperable, and Reusable) for machine-actionable data and enabled discovery tools like Google Dataset Search.