Re: [ANN] Machine Learning Schema Core Specification

Hi Agnieszka

Now that we have an ontology,
the question raises of where are, or will be I guess, the LOD data for ML.

The site
http://ml-schema.github.io/documentation/
mentions
www.openml.org
and http://wasota.aksw.org/

but these sites are down ...

2016-10-18 2:32 GMT+02:00 Agnieszka Ławrynowicz <
agnieszka.lawrynowicz@cs.put.poznan.pl>:

> We are happy to announce the availability of
>
>            ***Machine Learning Schema Core Specification*** release
> October 17, 2016
>
> a simple shared schema that provides a set of classes, properties, and
> restrictions that can be used to represent and interchange information on
> data mining and machine learning algorithms, datasets, and experiments.
>
> This lightweight schema may be used as a basis for ontology development
> projects, markup languages and data exchange standards. In particular, it
> aims to align existing machine learning ontologies and to support
> development of more specific ontologies with specific
> purposes/applications. The main purpose is to increase interoperability by
> preventing a proliferation of incompatible machine learning ontologies as
> well as to provide a high-level standard to represent machine learning
> data.
>
> The schema also defines a relationship between machine learning algorithms
> and their single executions and experiments and studies encompassing them.
> It aims at stimulating the development of standards in order to achieve
> high level of interoperability among scientific experiments concerning
> machine learning. By facilitating the metadata interchange process, the ML
> Schema may foster reproducible research. Another goal of ML Schema related
> to interoperability and reproducible research is to facilitate turning
> machine learning algorithms and results into linked open data.
>
> The further information may be found at:
> http://ml-schema.github.io/documentation/
>
> Let us know how you would like to use ML Schema:
> https://github.com/ML-Schema/core/wiki/UseCases
>
> Regards and cheers,
> The W3C ML Schema Community Group
>
> Website:
> https://www.w3.org/community/ml-schema
>
> Github:
> https://github.com/ML-Schema/core
>
> Twitter
> https://twitter.com/ml_schema
>
>
>


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