The schema contains classes for representing different aspects of machine learning. This includes representations data, datasets and data/dataset characteristics. Next, it includes representations of algorithms, implementations, parameters of implementations and software. Furthermore, the schema contains representations of models, model characteristics and model evaluations. Finally, the schema has the ability to represent machine learning experiments with different granularity. This includes representations of runs of implementations of algorithms on the lowest level and representation of studies at the highest level.

This ontology is an outcome of the knowlEdge Project — Towards AI powered manufacturing services, processes, and products in an edge-to-cloud-knowledge continuum for humans [in-the-loop] — a project funded by the H2020 Framework Programme of the European Commission under Grant Agreement 957331 and conducted from January 2021 until December 2023.