Well, then, we have tried several times to get into that diagram, and it never worked out._______________________________________________So, given the page you linke, it says:Contributing to the Diagram
First, make sure that you publish data according to the Linked Data principles. We interpret this as:
- There must be resolvable http:// (or https://) URIs.
- They must resolve, with or without content negotiation, to RDF data in one of the popular RDF formats (RDFa, RDF/XML, Turtle, N-Triples).
- The dataset must contain at least 1000 triples. (Hence, your FOAF file most likely does not qualify.)
- The dataset must be connected via RDF links to a dataset that is already in the diagram. This means, either your dataset must use URIs from the other dataset, or vice versa. We arbitrarily require at least 50 links.
- Access of the entire dataset must be possible via RDF crawling, via an RDF dump, or via a SPARQL endpoint.
The process for adding datasets is still under development, please contact John P. McCrae to add a new dataset
Wikidata fulfills all the conditions easily. So, here we go, I am adding John to this thread - although I know he already knows about this request - and I am asking officially to enter Wikidata into the LOD diagram.Let's keep it all open, and see where it goes from here.Cheers,DennyOn Mon, May 7, 2018 at 4:15 AM Sebastian Hellmann <hellmann@informatik.uni-leipzig.de> wrote:Hi Denny, Maarten,
you should read your own emails. In fact it is quite easy to join the LOD cloud diagram.
The most important step is to follow the instructions on the page: http://lod-cloud.net under how to contribute and then add the metadata.
Some years ago I made a Wordpress with enabled Linked Data: http://www.klappstuhlclub.de/wp/ Even this is included as I simply added the metadata entry.
Do you really think John McCrae added a line in the code that says "if (dataset==wikidata) skip; " ?
You just need to add it like everybody else in LOD, DBpedia also created its entry and updates it now and then. The same accounts for http://lov.okfn.org Somebody from Wikidata needs to upload the Wikidata properties as OWL. If nobody does it, it will not be in there.
All the best,
Sebastian
On 04.05.2018 18:33, Maarten Dammers wrote:
It almost feels like someone doesn’t want Wikidata in there? Maybe that website is maintained by DBpedia fans? Just thinking out loud here because DBpedia is very popular in the academic world and Wikidata a huge threat for that popularity.
MaartenI'm pretty sure that Wikidata is doing better than 90% of the current bubbles in the diagram.
If they wanted to have Wikidata in the diagram it would have been there before it was too small to read it. :)
On Tue, May 1, 2018 at 7:47 AM Peter F. Patel-Schneider <pfpschneider@gmail.com> wrote:
Thanks for the corrections.
So https://www.wikidata.org/entity/Q42 is *the* Wikidata IRI for Douglas
Adams. Retrieving from this IRI results in a 303 See Other to
https://www.wikidata.org/wiki/Special:EntityData/Q42, which (I guess) is the
main IRI for representations of Douglas Adams and other pages with
information about him.
From https://www.wikidata.org/wiki/Special:EntityData/Q42 content
negotiation can be used to get the JSON representation (the default), other
representations including Turtle, and human-readable information. (Well
actually I'm not sure that this is really correct. It appears that instead
of directly using content negotiation, another 303 See Other is used to
provide an IRI for a document in the requested format.)
https://www.wikidata.org/wiki/Special:EntityData/Q42.json and
https://www.wikidata.org/wiki/Special:EntityData/Q42.ttl are the useful
machine-readable documents containing the Wikidata information about Douglas
Adams. Content negotiation is not possible on these pages.
https://www.wikidata.org/wiki/Q42 is the IRI that produces a human-readable
version of the information about Douglas Adams. Content negotiation is not
possible on this page, but it does have link rel="alternate" to the
machine-readable pages.
Strangely this page has a link rel="canonical" to itself. Shouldn't that
link be to https://www.wikidata.org/entity/Q42? There is a human-visible
link to this IRI, but there doesn't appear to be any machine-readable link.
RDF links to other IRIs for Douglas Adams are given in RDF pages by
properties in the wdtn namespace. Many, but not all, identifiers are
handled this way. (Strangely ISNI (P213) isn't even though it is linked on
the human-readable page.)
So it looks as if Wikidata can be considered as Linked Open Data but maybe
some improvements can be made.
peter
On 05/01/2018 01:03 AM, Antoine Zimmermann wrote:
> On 01/05/2018 03:25, Peter F. Patel-Schneider wrote:
>> As far as I can tell real IRIs for Wikidata are https URIs. The http IRIs
>> redirect to https IRIs.
>
> That's right.
>
>> As far as I can tell no content negotiation is
>> done.
>
> No, you're mistaken. Your tried the URL of a wikipage in your curl command.
> Those are for human consumption, thus not available in turtle.
>
> The "real IRIs" of Wikidata entities are like this:
> https://www.wikidata.org/entity/Q{NUMBER}
>
> However, they 303 redirect to
> https://www.wikidata.org/wiki/Special:EntityData/Q{NUMBER}
>
> which is the identifier of a schema:Dataset. Then, if you HTTP GET these
> URIs, you can content negotiate them to JSON
> (https://www.wikidata.org/wiki/Special:EntityData/Q{NUMBER}.json) or to
> turtle (https://www.wikidata.org/wiki/Special:EntityData/Q{NUMBER}.ttl).
>
>
> Suprisingly, there is no connection between the entity IRIs and the wikipage
> URLs. If one was given the IRI of an entity from Wikidata, and had no
> further information about how Wikidata works, they would not be able to
> retrieve HTML content about the entity.
>
>
> BTW, I'm not sure the implementation of content negotiation in Wikidata is
> correct because the server does not tell me the format of the resource to
> which it redirects (as opposed to what DBpedia does, for instance).
>
>
> --AZ
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_______________________________________________--
All the best,
Sebastian Hellmann
Director of Knowledge Integration and Linked Data Technologies (KILT) Competence Center
at the Institute for Applied Informatics (InfAI) at Leipzig University
Executive Director of the DBpedia Association
Projects: http://dbpedia.org, http://nlp2rdf.org, http://linguistics.okfn.org, https://www.w3.org/community/ld4lt
Homepage: http://aksw.org/SebastianHellmann
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