- From: Vladimir Alexiev via GitHub <sysbot+gh@w3.org>
- Date: Mon, 12 Mar 2018 13:17:24 +0000
- To: public-dxwg-wg@w3.org
@dr-shorthair I agree that QB can be used to represent dataset statistics. It's important not to muddy the waters by confusing: - the use of DCAT to represent *stats datasets* (eg StatDCAT-AP) - vs the use of QB to represent *dataset stats* > Challenge... how the rdf:Property object described using QB is mapped to the structure of a dataset - Agree: as #161 says "The real challenge is how to do it for other datasets." But I also see other challenges: - how to harmonize this "DCAT using QB" with VOID because VOID is very prevalent for RDF datasets - how to capture specific subsets, eg (see #161) "startup companies in Italy". AFAIK VOID can't express this (class/property partitions don't fix a property **value**) but maybe some VOID extensions can. And I think that qb:DSDs/slices can express it > for those instances such as spreadsheets etc where elements do not natively have URI names. But see CSVW. The future DCAT should interplay with such RDFization standards... -- GitHub Notification of comment by VladimirAlexiev Please view or discuss this issue at https://github.com/w3c/dxwg/issues/88#issuecomment-372305849 using your GitHub account
Received on Monday, 12 March 2018 13:17:26 UTC