Oh, wow, thanks Sebastian, thanks Kingsley for the answers! I was entirely unaware of the DBpedia datasets over at databus.dbpedia.org - when I search for "dbpedia downloads" that's not where I get to. Also, when I go to dbpedia.org and then click on "Downloads", I get to the 2016 datasets.
https://wiki.dbpedia.org/Datasets https://wiki.dbpedia.org/develop/datasets I honestly thought, that the 2016 dataset is the latest one, and was rather disappointed. Thank you for showing me that I was just looking in the wrong place - but I would really suggest that you update your Websites to point to databus. I am sure I am not the only one who believes that there has been no DBpedia update since 2016. Thanks for these pointers! I have run a few analyses, and now can rerun them again with the actual current data :) I expect this to improve DBpedia numbers by quite a bit. One question, I liked to use the canonicalized versions from here https://wiki.dbpedia.org/downloads-2016-10, i.e. files such as http://downloads.dbpedia.org/2016-10/core-i18n/de/mappingbased_objects_wkd_uris_de.ttl.bz2 - can you point me where I can find the canonicalized versions in the new files? I find it all a bit hard to navigate (although Databus has a few really neat features, thanks for that). Cheers, Denny On Sat, Jun 1, 2019 at 9:43 AM Kingsley Idehen <[email protected]> wrote: > 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> > <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%22virt%22%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]> > wrote: > >> On 5/31/19 2:23 PM, Denny Vrandečić wrote: >> >> When I query the 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 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] >> https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion >> > > > _______________________________________________ > DBpedia-discussion mailing > [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 > [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 > > _______________________________________________ > DBpedia-discussion mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion >
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