Am 31.01.2015 um 19:58 schrieb Kingsley Idehen <kide...@openlinksw.com>:

> On 1/29/15 5:56 PM, Edgard Marx wrote:
>> The easiest and fast way to get DBpedia statistics is 
>> http://dbtrends.aksw.org.
> Why can't I access an RDF representation of this information?
>> 
>> There is also a library that can be used in your code. 
>> https://bitbucket.org/emarx/dbtrends/wiki/Home.
> 
> Anyway, we've loaded stats data into the DBpedia public instance:
> 
> sparql select count(*) from 
> <http://dbpedia.semanticmultimedia.org/dbpedia2014/en/pagerank_scores_en_2014.ttl.bz2>
>  where {?s ?p ?o};
> 5,544,757 triples .
> 
> sparql select count(*) from 
> <http://dbpedia.semanticmultimedia.org/dbpedia2014/en/hits_scores_en_2014.ttl.bz2>
>  where {?s ?p ?o};
> 5,544,757 triples .
> 
> sparql select count(*) from 
> <http://dbpedia.semanticmultimedia.org/dbpedia2014/en/pageinlinkCounts_en_2014.ttl.bz2>
>  where {?s ?p ?o};
> 5,130,711 triples .
> 
> sparql select count(*) from 
> <http://dbpedia.semanticmultimedia.org/dbpedia2014/en/pageoutlinkCounts_en_2014.ttl.bz2>
>  where {?s ?p ?o};
> 4,582,685 triples.
> 
> Example:
> 
> http://dbpedia.org/c/842SNK -- random describe with output in a form that 
> encourages Linked Data follow-your-nose exploration.
> 

Thanks Kingsley, that is great! We will update the blog article [1] and explain 
how to easily access it. :)

[1] http://semanticmultimedia.org/node/6


> -- 
> Regards,
> 
> Kingsley Idehen       
> Founder & CEO
> OpenLink Software
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