On 6/1/19 5:45 AM, Sebastian Hellmann wrote: > > Hi Denny, > > * the old system was like this: > > we load from here: http://downloads.dbpedia.org/2016-10/core/ > > metadata is in > http://downloads.dbpedia.org/2016-10/core/2016-10_dataid_core.ttl with > void:sparqlEndpoint <http://dbpedia.org/sparql> ; >
Hi Sebastian, I will also have the TTL referenced above loaded to a named graph so that it becomes accessible from the query solution I shared in my prior post. > > * the new system is here: https://databus.dbpedia.org/dbpedia > > There are 6 new releases and the metadata is in the endpoint > https://databus.dbpedia.org/repo/sparql > > Once the collection saving feature is finished, we will build a > collection of datasets on the bus, which will then be loaded. It is > basically a sparql query retrieving the downloadurls like this: > > http://dev.dbpedia.org/Data#example-application-virtuoso-docker > Okay. Please install the Faceted Browser so that URIs like http://dev.dbpedia.org/Data#example-application-virtuoso-docker can also be looked up. As an aside, here's an Entity Type overview query results page <https://databus.dbpedia.org/repo/sparql?default-graph-uri=&query=SELECT+%28SAMPLE%28%3Fs%29+AS+%3Fsample%29+%28COUNT%281%29+AS+%3Fcount%29++%28%3Fo+AS+%3FentityType%29%0D%0AWHERE+%7B%0D%0A++++++++%3Fs+a+%3Fo.+%0D%0A%09%09FILTER+%28isIRI%28%3Fs%29%29+%0D%0A++++++++++++++++FILTER+%28%21+contains%28str%28%3Fs%29%2C"virt"%29%29%0D%0A++++++%7D+%0D%0AGROUP+BY+%3Fo%0D%0AORDER+BY+DESC+%28%3Fcount%29&format=text%2Fhtml&timeout=0&debug=on> for future use etc.. Kingsley > > > > On 31.05.19 21:59, Denny Vrandečić wrote: >> Thank you for the answer! >> >> I don't see how the query solution page that you linked indicates >> that this is the English Wikipedia extraction. Where does it say >> that? How can I tell? I am trying to understand, thanks. >> >> Also, when I download the set of English extractions from here, >> >> http://downloads.dbpedia.org/2016-10/core-i18n/en/ >> >> particularly this one, >> >> http://downloads.dbpedia.org/2016-10/core-i18n/en/mappingbased_objects_en.ttl.bz2 >> >> >> it is only about 17,467 people with parents, not 20,120, so that >> dataset seems out of sync with the one in the SPARQL endpoint. >> >> I am curious where do you load the dataset from? >> >> Thank you! >> >> >> On Fri, May 31, 2019 at 11:49 AM Kingsley Idehen >> <[email protected] <mailto:[email protected]>> wrote: >> >> On 5/31/19 2:23 PM, Denny Vrandečić wrote: >>> When I query the dbpedia.org/sparql <http://dbpedia.org/sparql> >>> endpoint asking for "how many people with a parent do you >>> know?", i.e. select (count (distinct ?p) as ?c) where { ?s >>> dbo:parent ?o }, I get as the answer 20,120. >>> >>> Where among the Downloads on wiki.dbpedia.org/downloads-2016-10 >>> <http://wiki.dbpedia.org/downloads-2016-10> can I find the >>> dataset that the SPARQL endpoint actually serves? Is it the >>> English Wikipedia-based "Mappingbased" one? Or is t the "Infobox >>> Properties Mapped"? >>> >>> Cheers, >>> Denny >>> >> >> The query solution page >> >> <http://dbpedia.org/sparql?default-graph-uri=&query=prefix+dbo%3A+%3Chttp%3A%2F%2Fdbpedia.org%2Fontology%2F%3E+%0D%0A%0D%0Aselect+%3Fg+%28count+%28distinct+%3Fs%29+as+%3Fc%29%0D%0Awhere+%7B+%0D%0A+++++++%0D%0A+++++++++graph+%3Fg+%7B%3Fs+dbo%3Aparent+%3Fo.%7D%0D%0A%0D%0A+++++%7D%0D%0Agroup+by+%3Fg&format=text%2Fhtml&CXML_redir_for_subjs=121&CXML_redir_for_hrefs=&timeout=30000&debug=on&run=+Run+Query+> >> indicates this is the English Wikipedia dataset. That's what >> we've always loaded into the Virtuoso instance from which DBpedia >> Linked Data and its associated SPARQL endpoint are deployed. >> >> >> -- >> Regards, >> >> Kingsley Idehen >> Founder & CEO >> OpenLink Software >> Home Page: http://www.openlinksw.com >> Community Support: https://community.openlinksw.com >> Weblogs (Blogs): >> Company Blog: https://medium.com/openlink-software-blog >> Virtuoso Blog: https://medium.com/virtuoso-blog >> Data Access Drivers Blog: >> https://medium.com/openlink-odbc-jdbc-ado-net-data-access-drivers >> >> Personal Weblogs (Blogs): >> Medium Blog: https://medium.com/@kidehen >> Legacy Blogs: http://www.openlinksw.com/blog/~kidehen/ >> http://kidehen.blogspot.com >> >> Profile Pages: >> Pinterest: https://www.pinterest.com/kidehen/ >> Quora: https://www.quora.com/profile/Kingsley-Uyi-Idehen >> Twitter: https://twitter.com/kidehen >> Google+: https://plus.google.com/+KingsleyIdehen/about >> LinkedIn: http://www.linkedin.com/in/kidehen >> >> Web Identities (WebID): >> Personal: http://kingsley.idehen.net/public_home/kidehen/profile.ttl#i >> : >> http://id.myopenlink.net/DAV/home/KingsleyUyiIdehen/Public/kingsley.ttl#this >> >> _______________________________________________ >> DBpedia-discussion mailing list >> [email protected] >> <mailto:[email protected]> >> https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion >> >> >> >> _______________________________________________ >> DBpedia-discussion mailing list >> [email protected] >> https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion > -- > 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 > <http://www.w3.org/community/ld4lt> > Homepage: http://aksw.org/SebastianHellmann > Research Group: http://aksw.org > > > _______________________________________________ > DBpedia-discussion mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion -- Regards, Kingsley Idehen Founder & CEO OpenLink Software Home Page: http://www.openlinksw.com Community Support: https://community.openlinksw.com Weblogs (Blogs): Company Blog: https://medium.com/openlink-software-blog Virtuoso Blog: https://medium.com/virtuoso-blog Data Access Drivers Blog: https://medium.com/openlink-odbc-jdbc-ado-net-data-access-drivers Personal Weblogs (Blogs): Medium Blog: https://medium.com/@kidehen Legacy Blogs: http://www.openlinksw.com/blog/~kidehen/ http://kidehen.blogspot.com Profile Pages: Pinterest: https://www.pinterest.com/kidehen/ Quora: https://www.quora.com/profile/Kingsley-Uyi-Idehen Twitter: https://twitter.com/kidehen Google+: https://plus.google.com/+KingsleyIdehen/about LinkedIn: http://www.linkedin.com/in/kidehen Web Identities (WebID): Personal: http://kingsley.idehen.net/public_home/kidehen/profile.ttl#i : http://id.myopenlink.net/DAV/home/KingsleyUyiIdehen/Public/kingsley.ttl#this
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