FAIRsharing record for: Intelligence Task Ontology and Knowledge Graph

This FAIRsharing record describes: The Intelligence Task Ontology and Knowledge Graph (ITO) provides comprehensive, curated and interlinked data of artificial intelligence tasks, benchmarks, AI performance metrics, benchmark results and research papers. ITO ontology aims to support 1) Manual curation of AI task classification hierarchies and performance metrics, enabling more precise analyses; 2) Representing data as a graph, facilitating network-based query and analysis; 3) Allowing for easy integration and enrichment with external data, as well as simple extensibility for modeling related knowledge domains from other domains; 4) Allowing for automated deductive inference and automated knowledge base consistency checking; 5) Allowing for ongoing, collaborative expert curation of underlying ontological models. ITO aims to enable precise and network-based analyses of the global landscape of AI tasks and capabilities based on technologies that allow for easy integration and enrichment with external data, automated inference and continuous, collaborative expert curation of underlying ontological models.