The Machine Learning Schema Community Group has been launched:
This 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. Our 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.
The goals of this group are:
To define a simple shared schema of data mining/ machine learning (DM/ML) algorithms, datasets, and experiments that may be used in many different formats: XML, RDF, OWL, spreadsheet tables.
Collect use cases from the academic community and industry
Use this schema as a basis to align existing DM/ML ontologies and develop more specific ontologies with specific purposes/applications
Prevent a proliferation of incompatible DM/ML ontologies
Turn machine learning algorithms and results into linked open data
Promote the use of this schema, including involving stakeholders like ML tool developers
Apply for funding (e.g. EU COST, UK Research Councils, Horizon2020 Coordination and Support Actions) to organize workshops, and for dissemination
This is a community initiative. This group was originally proposed on 2015-09-28 by Joaquin Vanschoren. The following people supported its creation: Joaquin Vanschoren, Agnieszka Lawrynowicz, Diego Esteves, Panče Panov, Diego Moussallem, Carmen Popoviciu. W3C’s hosting of this group does not imply endorsement of the activities.
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W3C Community Development Team