- From: Kingsley Idehen <kidehen@openlinksw.com>
- Date: Wed, 19 Mar 2014 16:28:28 -0400
- To: public-linked-json@w3.org
- Message-ID: <5329FDEC.6040901@openlinksw.com>
On 3/19/14 12:56 PM, Jerven Bolleman wrote: > UniProt is one of the largest life science databases, linked to more than another 150 databases. It has had an RDF serialisation since 2005 and now a JSON-LD one as well. > This is now public, but not yet announced. One can see an example herehttp://www.uniprot.org/uniprot/P77967.jsonld and a simpler one > http://www.uniprot.org/taxonomy/9606.jsonld > > It is very similar to our other RDF serializations, except for evidence tagging (provenance of an annotation). In the RDF/XML & Turtle this is done with reification and in JSON-LD with graphs. Vapour Report: 1. http://linkeddata.uriburner.com:8000/vapour?uri=http%3A%2F%2Fwww.uniprot.org%2Ftaxonomy%2F9606.jsonld&acceptJsonLD=1&validateRDF=1&defaultResponse=dontmind&userAgent=vapour.sourceforge.net -- this is the option whereby the system tries to understand what the document describes i.e., the relation that associates the document with the entity it describes 2. http://linkeddata.uriburner.com:8000/vapour?uri=http%3A%2F%2Fwww.uniprot.org%2Ftaxonomy%2F9606.jsonld&acceptJsonLD=1&defaultResponse=dontmind&userAgent=vapour.sourceforge.net -- basic test of the JSON-LD 3. http://linkeddata.uriburner.com/describe/?url=http%3A%2F%2Flinkeddata.uriburner.com%2Fproxy-iri%2F3b94e50ec48850849f8e83294a939c0e2bec5c14 -- via URIBurner which can process generic JSON and apply some sense-making heuristics based on document content and containment relations . Hope that helps :-) -- Regards, Kingsley Idehen Founder & CEO OpenLink Software Company Web: http://www.openlinksw.com Personal Weblog: http://www.openlinksw.com/blog/~kidehen Twitter Profile: https://twitter.com/kidehen Google+ Profile: https://plus.google.com/+KingsleyIdehen/about LinkedIn Profile: http://www.linkedin.com/in/kidehen
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Received on Wednesday, 19 March 2014 20:28:51 UTC