- From: Dan Brickley via GitHub <sysbot+gh@w3.org>
- Date: Fri, 26 Oct 2018 12:10:03 +0000
- To: public-dxwg-wg@w3.org
my notes from yesterday towards a mapping tested by applying it to turning Google Dataset Search documentation into DCAT RDF is in https://twitter.com/danbri/status/1055787656318214144
The [python notebook](https://colab.sandbox.google.com/drive/1FKoN3HR69vqVN3fVH36E3MRkB7wSXGEt) runs a SPARQL CONTEXT query, based on consulting @dr-shorthair 's term mappings:
```
PREFIX s: <http://schema.org/>
PREFIX dcat: <http://www.w3.org/ns/dcat#>
PREFIX dct: <http://purl.org/dc/terms/>
CONSTRUCT {
?d a dcat:Dataset ; dct:title ?t ; dct:description ?desc .
?d dcat:distribution [a dcat:Distribution ; dct:format ?ef ] .
?d dct:license ?lic .
?d dct:temporal ?tempC .
} WHERE {
?d a s:Dataset; s:name ?t ; s:description ?desc .
?d s:distribution [ s:encodingFormat ?ef ] .
OPTIONAL {
?d s:license ?lic .
}
OPTIONAL {
?d s:temporalCoverage ?tempC .
}
}
```
It would be interesting to get at least one such query blessed by the WG. One motivation for doing so would be to communicate to Google what the WG thinks a DCAT version of a particular example ought to look like.
This is in the opposite direction to https://ec-jrc.github.io/dcat-ap-to-schema-org/#formal-definition-sparql-mapping-properties-dataset but the same basic approach.
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Received on Friday, 26 October 2018 12:10:10 UTC