Sorry, all the mails were lost in the mare magnum of my full inbox,
and I forgot to thank you all for your answers. :)

L.

2015-04-30 12:07 GMT+02:00 Markus Krötzsch <mar...@semantic-mediawiki.org>:
> On 30.04.2015 11:25, Jean-Baptiste Pressac wrote:
>>
>> Hello,
>> Does this also means that the RDF data available via for instance
>> http://www.wikidata.org/entity/Q235382.nt or
>> http://www.wikidata.org/entity/Q235382 could not be queried via SPARQL
>> unless you download the .nt file and use for instance Jena ARQ
>> <https://jena.apache.org/documentation/query/index.html> on your own
>> computer ?
>
>
> Maybe not your computer, but somebody has to download the data in some way
> in order for it to be queried. Query answering is a complicated process that
> does not usually work on the fly, and somebody has to do the math in the
> end. There are some approaches to explore linked data in a query-like manner
> in real time, but it should be clear that this will always take much longer
> than if you have downloaded the data first.
>
>>
>> Does this also means that there is no use to publish RDF data linking to
>> Wikidata like for instance :
>>
>> @prefix mydata: <http://mydata.fr/> .
>> @prefix cidoc: <http://www.cidoc-crm.org/cidoc-crm/> .
>> @prefix wikidata: <http://www.wikidata.org/entity/>
>>
>> mydata:event/1 a cidoc:E67_Birth ;
>> cidoc:P98_brought_into_life mydata:person/80 ;
>> cidoc:P7_took_place_at wikidata:Q235382 ;
>
>
> This is still a useful thing to do for several reasons. First of all, the
> link connects your data and clarifies its meaning. This is useful to
> consumers who find your data. Second, there are linked data crawlers that
> aggregate linked data from many sources to provide you with a query service.
> OpenLink is running one such service, and if they managed to find your data,
> you could use their service to issue queries.
>
> Regards,
>
> Markus
>
>
>>
>> Thanks,
>>
>>
>> Jean-Baptiste Pressac
>>
>> Traitement et analyse de bases de données
>> Production et diffusion de corpus numériques
>>
>> Centre de Recherche Bretonne et Celtique
>> Unité mixte de service (UMS) 3554
>> 20 rue Duquesne
>> CS 93837
>> 29238 Brest cedex 3
>>
>> tel : +33 (0)2 98 01 68 95
>> fax : +33 (0)2 98 01 63 93
>>
>> Le 29/04/2015 21:44, Markus Krötzsch a écrit :
>>>
>>> On 29.04.2015 20:56, Luca Martinelli wrote:
>>>>
>>>> Dear all,
>>>>
>>>> I need to know about the possibility of making queries on a Wikibase
>>>> instance. I think it is possible to make queries on data on a
>>>> particular instance only with external tools at the moment, right?
>>>
>>>
>>> Yes, this is correct. The SPARQL query support that we currently offer
>>> is obtained by making an RDF export and loading it into a SPARQL
>>> database (we use Virtuoso but you could also use BlazeGraph, for
>>> example; both have free and open source versions and are not hard to
>>> install overall; if your data is not so large, you could also try
>>> Jena; there are further open source RDF databases, but these are the
>>> most prominent right now I think).
>>>
>>> The RDF export, too, is not currently generated by Wikibase. However,
>>> Wikidata Toolkit, which we use to make the RDF dumps, can be used with
>>> data from any Wikibase installation in theory. In practice, nobody has
>>> asked for this yet and we might have to make a few adjustments to
>>> really get it to work in a convenient way. For a start, I don't know
>>> what kind of export options a standalone Wikibase offers you at the
>>> moment. We can use the usual XML-based page dump if it contains valid
>>> JSON for a change (this was not the case for Wikidata last time I
>>> checked ...). Better yet would be the JSON exports, but I don't know
>>> if you can generate them with vanilla Wikibase or if WMF is using some
>>> special tools for this.
>>>
>>> Anyway, it can't be too hard to make this work and once it is done you
>>> would have a query service that is at the same level as the one of
>>> Wikidata. You could even combine data from more than one Wiki in one
>>> RDF database, e.g., to run queries over data from both.
>>>
>>> Regards,
>>>
>>> Markus
>>>
>>>
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>>
>>
>>
>>
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-- 
Luca "Sannita" Martinelli
http://it.wikipedia.org/wiki/Utente:Sannita

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