ML-Schema: Exposing the Semantics of Machine Learning with Schemas and Ontologies

14 Jul 2018Gustavo Correa PublioDiego EstevesAgnieszka ŁawrynowiczPanče PanovLarisa SoldatovaTommaso SoruJoaquin VanschorenHamid Zafar

The ML-Schema, proposed by the W3C Machine Learning Schema Community Group, is a top-level ontology that provides a set of classes, properties, and restrictions for representing and interchanging information on machine learning algorithms, datasets, and experiments. It can be easily extended and specialized and it is also mapped to other more domain-specific ontologies developed in the area of machine learning and data mining... (read more)

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