Thanks, Bernard.
I get ~5000 instances of rdf:Property (and 1643 of rdfs:Class - and
oddly 5 instances of rdfs:Property), but more than three times as many for:
SELECT (COUNT(?property) AS ?properties)
{
SELECT DISTINCT ?property
WHERE{
{?property rdfs:domain ?domain}
UNION
{?property rdfs:range ?range}
UNION
{?property rdfs:subPropertyOf ?super}
UNION
{?sub rdfs:subPropertyOf ?property}
}
}
I'm guessing, therefore, no inference in this store?
Since OWL-implied properties would require a much more sophisticated
query, is it possible to get the dataset and re-index this with inference?
Barry
On 20/08/2013 18:02, Bernard Vatant wrote:
Hello Barry
I had a reminder today that I never answered the question below, and I am very
late indeed !
Properties and classes of all vocabularies in LOV are aggregated in a triple
store
of which SPARQL endpoint is athttp://lov.okfn.org/endpoint/lov_aggregator
This is quite "raw data" but you should find everything you need in there.
Otherwise can also use the new APIhttp://lov.okfn.org/dataset/lov/api/v1/vocabs
which for each vocabulary provides the prefix and link to the last version
stored.
Hope that helps
Bernard
From: Barry Norton <[email protected]
<mailto:[email protected]?Subject=Re%3A%20YASGUI%3A%20Web-based%20SPARQL%20client%20with%20bells%20%FFn%20wistles&In-Reply-To=%3C51D7F122.5060407%40ontotext.com%3E&References=%3C51D7F122.5060407%40ontotext.com%3E>>
Date: Sat, 06 Jul 2013 11:27:46 +0100
Bernard, does LOV keep a cache of properties and classes?
I'd really like to see resource auto-completion in Web-based tools like
YASGUI, but a cache is clearly needed for the to be feasible.
Barry
