RE: Python notebook scratchpad towards mapping a schema.org dataset description into DCAT

Thanks, Dan.



The SPARQL queries we have defined are on GH:



https://github.com/ec-jrc/dcat-ap-to-schema-org/tree/master/sparql



Documentation of the mappings is available at:



https://ec-jrc.github.io/dcat-ap-to-schema-org/



Andrea



----
Andrea Perego, Ph.D.
Scientific / Technical Project Officer
European Commission DG JRC
Directorate B - Growth and Innovation
Unit B6 - Digital Economy
Via E. Fermi, 2749 - TP 262
21027 Ispra VA, Italy

https://ec.europa.eu/jrc/

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The views expressed are purely those of the writer and may
not in any circumstances be regarded as stating an official
position of the European Commission.

________________________________
From: Dan Brickley [danbri@google.com]
Sent: 25 October 2018 18:01
To: Dataset Exchange Working Group
Cc: Eric Prud'hommeaux
Subject: Python notebook scratchpad towards mapping a schema.org dataset description into DCAT


Following today's discussion, and guided by Simon's term level mappings, I've set up a quick Python notebook on Google Colab using rdflib and sparql, which explores use of SPARQL CONSTRUCT to map the scheme flavour into something like DCAT.

It works with a very basic core, but I haven't figured out what can be done around options (e.g. mapping schema:license to dct:license and what happens if that term isn't used...). Should it be one complex query or several of them, ... or look to other mechanisms like shex mappings instead?

https://colab.research.google.com/drive/1FKoN3HR69vqVN3fVH36E3MRkB7wSXGEt has all I've managed so far, feedback/edits welcomed...

Dan