Research:Wikimedia France Research Award/nominated papers/DBpedia: A Nucleus for a Web of Open Data

DBpedia: A Nucleus for a Web of Open Data

DBpedia: A Nucleus for a Web of Open Data was proposed in 2007 by Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary Ives.

You can also watch a video of the paper presentation here.

See the full text here.

Summary

DBpedia (see blog here) is a community effort to extract structured information from Wikipedia and to make this information available on the Web. The English version of the DBpedia knowledge base currently describes 3.77 million things, out of which 2.35 million are classified in a consistent Ontology, but there are also localized versions of DBpedia in 111 languages.

DBpedia allows you to ask sophisticated queries against datasets derived from Wikipedia and to link other datasets on the Web to Wikipedia data. The paper describes the extraction of the DBpedia datasets, and how the resulting information is published on the Web for human- and machine-consumption. Then, some emerging applications from the DBpedia community are presented and it is shown how website authors can facilitate DBpedia content within their sites. Finally, the current status of interlinking DBpedia with other open datasets on the Web is presented and as well as how DBpedia could serve as a nucleus for an emerging Web of open data.

Jury comments

DBpedia: A Nucleus for a Web of Open Data is the paper with the most citations on the Wikimedia Award shortlist, and an opening to discuss the future of wikidata and semantic data, a major issue for the year to come. Since 2007, it has stood the test of time with many developments like Wikidata, Sémanticpédia, a let of related litterature.

It’s less about analysing Wikipedia than tapping into its resources in order to build a collaborative knowledge base (at the very least). It’s widely used so we must decide what is judged here : the result of that project (that is central to the Linked Data Cloud), its influence, or the paper itself?

Though they fulfill different tasks, DBpedia and the Wikidata project have a lot in common. There is also a similar french DBpedia project : Sémanticpédia - http://lab.wikimedia.fr

It’s a description of the steps that lead towards the creation of a dataset generated from Wikipedia. Then, once this dataset has been properly produced, nothing prevents anyone from using it to get a better understanding of Wikipedia (this is what happened with the French version though the organizational process was very different from what is described here, WMF being a partner from the start).

Petermr (talk) 16:49, 18 February 2013 (UTC)

Vote for this paper

Vote

1. Taha Yasseri (talk) 08:44, 18 February 2013 (UTC)
2. Bien sûr puisque sur la wikipédia francophone des contributeurs ont réfléchi à la question depuis longue date. GLec (talk) 16:12, 18 February 2013 (UTC)
3. Karima Rafes (talk) 08:36, 22 February 2013 (UTC)
4. --Rudloff (talk) 11:47, 26 February 2013 (UTC)
5. Johnbreslin (talk) 15:36, 6 March 2013 (UTC)
6. Asaf Bartov (WMF Grants) talk 00:26, 8 March 2013 (UTC) superb contribution that keeps on giving. Validated even further by Wikidata.
7. DBpedia is a valuable resource and especially interesting in relation to the recent development of Wikidata. Finn Årup Nielsen (fnielsen) (talk) 14:01, 11 March 2013 (UTC)