SOURCE-LINKED INTELLIGENCE
AGENT-O: A Semantic Agent Card Framework for Interoperable and Governed Healthcare AI Agents
AGENT-O is a modular ontology framework that defines a semantic Agent Card for representing health-oriented AI agent systems and supports assessment of reporting completeness in scientific publications. AGENT-O was developed as an OWL 2/RDF ontology covering runtime, models, workflow, tools, clinical use, evaluation, provenance, governance, and reporting assessment. Evaluation included ontology inventory, OWL-RL reasoning, three SHACL suites, 12 SPARQL competency queries, three cases, and model-assisted reporting-completeness assessment of 279 papers across five dimensions. The ontology contai
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-28T13:59:03.000Z
First collected: 2026-09-21T08:02:06.831Z. This is not the publication date.