Thanks so much and sorry for the delay. The email ended in my spam folder. I checked out this query and it looks like there is a lot of missing data. Or least I couldn’t believe some obvious ones weren’t there.
My goal with this project is to do some big query analysis to find out if an article from Wikipedia is food related or not (something like https://en.wikipedia.org/wiki/Ice_drilling <https://mailtrack.io/trace/link/7e8caa8681d84a9aaf7ecca57b83973e234d4c72?url=https%3A%2F%2Fen.wikipedia.org%2Fwiki%2FIce_drilling&userId=74734&signature=225449adaae2106b> - is this food or not?). Felipe Hoffa wrote about it a bit more here: https://lookup-api.apple.com/lists.wikimedia.org/pipermail/wikidata/2016-March/008414.html <https://mailtrack.io/trace/link/ee731303f38851cbbe7f42ce27d075f3820f2d0a?url=https%3A%2F%2Flookup-api.apple.com%2Flists.wikimedia.org%2Fpipermail%2Fwikidata%2F2016-March%2F008414.html&userId=74734&signature=ebc0ff39a4e23cad> and he has already uploaded wikidata dump to bigquery. What would be the right way to do this? (Dbpedia or wikidata). If Dbpedia, Vladimir, is it possible to query if a wikipedia article is a particular category(s) or not? - Quintin On Fri, Jun 22, 2018 at 12:15 AM, Vladimir Alexiev < [email protected]> wrote: > Your best bet is to use the Wikipedia Categories. They are not available > on Wikidata, but are available on DBpedia. > We did a lot of work on this in the Europeana Food and Drink project. > We got a "FD classification" based on a filtered set of Wikipedia > categories: > http://efd.ontotext.com/data/#sec-3 > <https://mailtrack.io/trace/link/9b23b14bd64271e6d6f091f34988ebc0f5c774bb?url=http%3A%2F%2Fefd.ontotext.com%2Fdata%2F%23sec-3&userId=74734&signature=46610344c3f3b6ba> > You could find a bit more details (including presentations) in > http://vladimiralexiev.github.io/pubs/ > <https://mailtrack.io/trace/link/479d2809504c7c185b518e83847e722ffb410761?url=http%3A%2F%2Fvladimiralexiev.github.io%2Fpubs%2F&userId=74734&signature=2666b42d1c66123b> > > Good luck! > > _______________________________________________ > Wikidata mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/wikidata > <https://mailtrack.io/trace/link/2fcbb5bc384dc971d4530e6f4c20242f6963c543?url=https%3A%2F%2Flists.wikimedia.org%2Fmailman%2Flistinfo%2Fwikidata&userId=74734&signature=17d31edf4187d779> > >
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