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Machine Learning Schema Community Group

Mission statement
ML-Schema is a collaborative, community effort with a mission to develop, maintain, and promote standard schemas for data mining and machine learning algorithms, datasets, and experiments.
A targeted status for ML-Schema 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.

Goals of this group

• 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

Sections:

• Use cases