On 4/18/17 5:04 AM, Dimitris Kontokostas wrote: > Hi, a few clarifications from my side > A more up-to-date link for the data is > here: https://gist.github.com/jimkont/01f6add8527939c39192bcb3f840eca0 > <https://gist.github.com/jimkont/01f6add8527939c39192bcb3f840eca0> > and this dump was not generated with federated queries, as this was > not possible at the time of creation but with a simple script > > it is meant only as a proof-of-concept project that showcases > differences in birthdates between Wikidata, Dutch Wikipedia and Greek > Wikipedia as extracted in the DBpedia 2016-04 release, (which also > means that it is based on ~1y old data) > > Best, > Dimitris
Dimitris, Here are links to SPARQL-FED queries that hit both DBpedia and Wikidata endpoints. Basically, you have a federated query over 3 SPARQL Endpoints. [1] https://tinyurl.com/mdkgg7h -- SPARQL-FED Results Page [2] https://medium.com/virtuoso-blog/on-the-mutually-beneficial-nature-of-dbpedia-and-wikidata-5fb2b9f22ada -- Post about both projects using variant of SPARQL-FED example above. Kingsley > > > On Mon, Apr 17, 2017 at 4:14 PM, Gerard Meijssen > <gerard.meijs...@gmail.com <mailto:gerard.meijs...@gmail.com>> wrote: > > Hoi, > With the recent introduction of federation for DBpedia, it is > possible to have queries for the DBpedias for a specific language > and Wikidata. I have blogged how we can make use for this [1]. > > It makes it much easier to compare Wikidata and DBpedia and when > we take this serious and apply some effort we can make a tool like > the one by Pasleim [2] for Wikipedias that do not have a category > for people who died in a given year. > Thanks, > GerardM > > [1] > http://ultimategerardm.blogspot.nl/2017/04/wikidata-user-story-dbpedia-death-and.html > > <http://ultimategerardm.blogspot.nl/2017/04/wikidata-user-story-dbpedia-death-and.html> > [2] http://tools.wmflabs.org/pltools/recentdeaths/ > <http://tools.wmflabs.org/pltools/recentdeaths/> > > > > > On 1 April 2017 at 11:34, Gerard Meijssen > <gerard.meijs...@gmail.com <mailto:gerard.meijs...@gmail.com>> wrote: > > Hoi, > I was asked by one of the DBpedia people to write a project > plan.. I gave it a try [1]. > > The idea is to first compare DBpedia with Wikidata where a > comparison is possible. When it is not (differences in their > classes for instance) it is at first not what we focus on. > > Please comment on the talk page and when there are things > missing in the plan, please help it improve. > Thanks, > GerardM > > > > [1] > https://www.wikidata.org/wiki/User:GerardM/DBpedia_for_Quality > <https://www.wikidata.org/wiki/User:GerardM/DBpedia_for_Quality> > > > On 1 April 2017 at 10:44, Reem Al-Kashif > <reemalkas...@gmail.com <mailto:reemalkas...@gmail.com>> wrote: > > Hi > > I don't have an idea about how to develop this, but it > seems like an interesting project! > > Best, > Reem > > On 30 Mar 2017 10:17, "Gerard Meijssen" > <gerard.meijs...@gmail.com > <mailto:gerard.meijs...@gmail.com>> wrote: > > Hoi, > Much of the content of DBpedia and Wikidata have the > same origin; harvesting data from a Wikipedia. There > is a lot of discussion going on about quality and one > point that I make is that comparing "Sources" and > concentrating on the differences particularly where > statements differ is where it is easiest to make a > quality difference. > > So given that DBpedia harvests both Wikipedia and > Wikidata, can it provide us with a view where a > Wikipedia statement and a Wikidata statement differ. > To make it useful, it is important to subset this > data. I will not start with 500.000 differences but I > will begin when they are about a subset that I care > about. > > When I care about entries for alumni of a university, > I will consider curating the information in question. > Particularly when I know the language of the Wikipedia. > > When we can do this, another thing that will promote > the use of a tool like this is when regularly (say > once a month) numbers are stored and trends are published. > > How difficult is it to come up with something like > this. I know this tool would be based on DBpedia but > there are several reasons why this is good. First it > gives added relevance to DBpedia (without detracting > from Wikidata) and secondly as DBpedia updates on RSS > changes for several Wikipedias, the effect of these > changes is quickly noticed when a new set of data is > requested. > > Please let us know what the issues are and what it > takes to move forward with this, Does this make sense? > Thanks, > GerardM > > > http://ultimategerardm.blogspot.nl/2017/03/quality-dbpedia-and-kappa-alpha-psi.html > > <http://ultimategerardm.blogspot.nl/2017/03/quality-dbpedia-and-kappa-alpha-psi.html> > > _______________________________________________ > Wikidata mailing list > Wikidata@lists.wikimedia.org > <mailto:Wikidata@lists.wikimedia.org> > https://lists.wikimedia.org/mailman/listinfo/wikidata > <https://lists.wikimedia.org/mailman/listinfo/wikidata> > > > _______________________________________________ > Wikidata mailing list > Wikidata@lists.wikimedia.org > <mailto:Wikidata@lists.wikimedia.org> > https://lists.wikimedia.org/mailman/listinfo/wikidata > <https://lists.wikimedia.org/mailman/listinfo/wikidata> > > > > > _______________________________________________ > Wikidata mailing list > Wikidata@lists.wikimedia.org <mailto:Wikidata@lists.wikimedia.org> > https://lists.wikimedia.org/mailman/listinfo/wikidata > <https://lists.wikimedia.org/mailman/listinfo/wikidata> > > > > > -- > Kontokostas Dimitris > > > _______________________________________________ > Wikidata mailing list > Wikidata@lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/wikidata -- Regards, Kingsley Idehen Founder & CEO OpenLink Software (Home Page: http://www.openlinksw.com) Weblogs (Blogs): Legacy Blog: http://www.openlinksw.com/blog/~kidehen/ Blogspot Blog: http://kidehen.blogspot.com Medium Blog: https://medium.com/@kidehen 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/dataspace/person/kidehen#this : http://id.myopenlink.net/DAV/home/KingsleyUyiIdehen/Public/kingsley.ttl#this
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