AIDOC-AP: An Application Profile for Technical Documentation of AI Systems

We present AIDOC-AP, an application profile for representing technical documentation of AI systems in accordance with technical documentation requirements of the EU AI Act. Our methodology adapts the NeOn-GPT pipeline, an ontology engineering framework powered by large language models (LLMs), and extends it with two steps: (i) LLM-assisted alignment to reference ontologies and (ii) LLM-based iterative coverage evaluation of competency questions. The resource comprises an OWL ontology for AI system lifecycle documentation and an ontology of Annex~IV requirements and competency questions. We validate AIDOC-AP on three pilot use cases from the CERTAIN project spanning distinct AI Act high-risk domains, including an empirical evaluation of competency-question answering over the instantiated knowledge graphs, and publish all artifacts under open licenses. License: CC BY 4.0 DOI: 10.5281/zenodo.17787786 URI: https://w3id.org/aidoc-ap