Do Agents Need Semantic Metadata? A Comparative Study in Agentic Data Retrieval 事件

Do Agents Need Semantic Metadata? A Comparative Study in Agentic Data Retrieval arXiv:2605.28787v1 Announce Type: cross Abstract: In the era of autonomous agents, machine-actionable data is critical for data-driven workflows. For more 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. However, the rise of Large Language Models (LL