You can have a look here. http://downloads.dbpedia.org/temporary/citations/enwiki-20160305-citedFacts.tql.bz2 it is a quad file that contains DBpedia facts and I replaced the context with the citation when the citation is on the exact same line with the extracted fact. e.g.
<http://dbpedia.org/resource/An_American_in_Paris> < http://dbpedia.org/property/work> "An American in Paris"@en < https://www.bnote.de/?set=werk_detail&kompid=246&bnnr=16963&lc=en> . It is based on a complete English dump from ~April and contains roughly 1M cited facts This is more like a proof-of-concept and there are many ways to improve and make it more usable for Wikidata let me know what you think On Mon, Aug 29, 2016 at 1:38 AM, Brill Lyle <[email protected]> wrote: > Yes? I think so. Except I would like to see fuller citations extracted / > sampled from / to? I don't have the technical skill to understand the > extraction completely but Yes. I think there is very rich data in Wikipedia > that is very extractable. > > Could this approach be a good candidate reference suggestions in Wikidata? > (This particular one is already a reference but the anthem and GDP in the > attachment are not for example) > > > > - Erika > > *Erika Herzog* > Wikipedia *User:BrillLyle <https://en.wikipedia.org/wiki/User:BrillLyle>* > > On Sat, Aug 27, 2016 at 9:37 AM, Dimitris Kontokostas < > [email protected]> wrote: > >> Hi, >> >> I had this idea for some time now but never got to test/write it down. >> DBpedia extracts detailed context information in Quads (where possible) >> on where each triple came from, including the line number in the wiki text. >> Although each DBpedia extractor is independent, using this context there >> is a small window for combining output from different extractors, such as >> the infobox statements we extract from Wikipedia and the very recent >> citation extractors we announced [1] >> >> I attach a very small sample from the article about Germany where I >> filter out the related triples and order them by the line number they were >> extracted from e.g. >> >> dbr:Germany dbo:populationTotal "82175700"^^xsd:nonNegativeInteger < >> http://en.wikipedia.org/wiki/Germany?oldid=736355524#*absolute-line=66* >> &template=Infobox_country&property=population_est >> imate&split=1&wikiTextSize=10&plainTextSize=10&valueSize=8> . >> <https://www.destatis.de/DE/PresseService/Presse/Pressemitte >> ilungen/2016/08/PD16_295_12411pdf.pdf;jsessionid=996EC2DF0A8 >> D510CF89FDCBC74DBAE9F.cae2?__blob=publicationFile> dbp:isCitedBy >> dbr:Germany <http://en.wikipedia.org/wiki/Germany?oldid=736355524# >> *absolute-line=66*> . >> >> Looking at the wikipedia article we see: >> |population_estimate = 82,175,700<ref>{{cite web|url= >> https://www.destatis.de/DE/PresseService/Presse/Pres >> semitteilungen/2016/08/PD16_295_12411pdf.pdf;jsessionid=996E >> C2DF0A8D510CF89FDCBC74DBAE9F.cae2?__blob=publicationFile|title=Population >> at 82.2 million at the end of 2015 – population increase due to high >> immigration|date=26 August 2016|work=destatis.de}}</ref> >> >> Could this approach be a good candidate reference suggestions in >> Wikidata? >> (This particular one is already a reference but the anthem and GDP in the >> attachment are not for example) >> >> There are many things that can be done to improve the matching but before >> getting into details I would like to see if this idea is worth exploring >> more or not >> >> Cheers, >> Dimitris >> >> [1] http://www.mail-archive.com/dbpedia-discussion%40lists.s >> ourceforge.net/msg07739.html >> >> -- >> Dimitris Kontokostas >> Department of Computer Science, University of Leipzig & DBpedia >> Association >> Projects: http://dbpedia.org, http://rdfunit.aksw.org, >> http://aligned-project.eu >> Homepage: http://aksw.org/DimitrisKontokostas >> Research Group: AKSW/KILT http://aksw.org/Groups/KILT >> >> >> _______________________________________________ >> Wikidata mailing list >> [email protected] >> https://lists.wikimedia.org/mailman/listinfo/wikidata >> >> > > _______________________________________________ > Wikidata mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/wikidata > > -- Kontokostas Dimitris
_______________________________________________ Wikidata mailing list [email protected] https://lists.wikimedia.org/mailman/listinfo/wikidata
