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Community & Business Groups

Machine Learning Schema Community Group

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

Note: Community Groups are proposed and run by the community. Although W3C hosts these conversations, the groups do not necessarily represent the views of the W3C Membership or staff.

drafts / licensing info

name
ML Schema Core Specification

Chairs, when logged in, may publish draft and final reports. Please see report requirements.

Publish Reports

ML Schema community on GitHub

Dear ML Schema participants,

We are using GitHub to coordinate the creation of ML Schema: https://github.com/ML-Schema/core

There you can find the latest information, working guidelines, conference call times, and the issues that we are currently working on. We will still publish reports regularly here on W3C, but we use GitHub for day to day work.

I’m looking forward to seeing you there. Please let me know if you have more questions about ML Schema or how to contribute.

Sincerely,

Joaquin Vanschoren

Call for Participation in Machine Learning Schema Community Group

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


In order to join the group, you will need a W3C account. Please note, however, that W3C Membership is not required to join a Community Group.

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.

The group must now choose a chair. Read more about how to get started in a new group and good practice for running a group.

We invite you to share news of this new group in social media and other channels.

If you believe that there is an issue with this group that requires the attention of the W3C staff, please email us at site-comments@w3.org

Thank you,
W3C Community Development Team