DBpedia: Querying Wikipedia like a Semantic Database
DBpedia is a community effort to extract structured information from Wikipedia and make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia and to link other datasets on the Web to Wikipedia data.
Overview
Do you know all mayors from towns elevated higher than 1000m, all sitcoms set in New York, or all philosophers that were influenced by Friedrich Nietzsche?
Wikipedia contains information required for answering such questions, but has the problem that its constricted search capabilities only allow very limited access to this valuable knowledge-base. The Semantic Web still lacks a critical mass of RDF data online and up-to-date terms and ontologies are missing for many application domains.
The dbpedia.org project approaches both problems by extracting structured information from Wikipedia and by making this information available on the Web. dbpedia.org allows you to ask sophisticated queries against Wikipedia (like the ones mentioned above) and to link other datasets on the Web to dbpedia data.
Features
DBpedia features at the moment:
- two large extracted datasets for different purposes
- a visual query builder available at: http://wikipedia.aksw.org
- a SPARQL endpoint and a data browser
Project Team
- Prof. Dr. Sören Auer (Principle Contact / Maintainer)
- Milan Dojchinovski
- Johannes Frey
- Marvin Hofer
- Julia Holze
- Amit Kirschenbaum
- Dr.-Ing. Dimitris Kontokostas
- Prof. Dr. Jens Lehmann
- Mohamed Morsey
- Sandra Prätor
- Denis Streitmatter
- Beyza Yaman