Efforts in previous research of the LeoLOD team members on representation of data mining algorithms, workflows and experiments as well as the research done in LeoLOD on extending DMOP ontology and re-use of a provenance vocabulary may now have a better impact.
Together with Joaquin Vanschoren (Eindhoven University of Technology), Pance Panov (Jozef Stefan Institute), and Diego Esteves (AKSW group, University of Leipzig) as co-chairs, as well as other colleagues, among them Larisa Soldatova (Brunel University), and Tommasu Soru (AKSW group, University of Leipzig) Agnieszka Ławrynowicz established a new W3C Machine Learning Schema Community Group.

The group represents a collaborative, community effort with a mission to develop, maintain, and promote standard schemas for data mining and machine learning algorithms, datasets, and experiments.
The target is a community agreed schema as a basis for ontology development projects, markup languages and data exchange standards; and an extension model for the schema in the area of data mining and machine learning.