A comprehensive and extensible ontology for systematically modeling fairness notions, metrics, biases, evaluation methods, and scientific provenance in machine learning. This ontology provides researchers, developers, and practitioners with a unified, machine-readable framework to guide the design and assessment of fair AI systems.