DBpedia – Querying Wikipedia like a Semantic Database
DBpedia 3.1 breaks 100 million triples barrier
Today, we released DBpedia 3.1. As always in the past years, the size of Wikipedia increased a lot over the past months. The new extraction contains 116,7 million triples, marking an increase of 27% over the previous version. The OpenLink team and the research group around Chris Bizer helped us to produce the release.
Apart from [...]
DBpedia 3.0 Release
Hereby, we announce the availability of the DBpedia 3.0 final release. Most notably, multi-language support was improved, new linked data sets added, and extraction code improved. Compared to the 3.0 release candidate, a number of extraction framework and data set bugs reported at our sourceforge.net bug tracker were fixed.
Overall, the combined download size of all [...]
DBpedia-Presentation at ISWC
Sören presented today the paper “DBpedia: A Nucleus for a Web of Open Data” at International Semantic Web Conference in Busan, Korea. You can view the slides here.
DBpedia Relationship Finder Release 2
Second Release of the DBpedia Relationship Finder. The Relationship Finder explores the DBpedia infobox dataset to find out which relations exist between two things. It can answer questions like “How are Leipzig and the Semantic Web related?“. The new version includes, amongst other changes, better algorithms and the possibility to ignore objects and properties.
DBpedia Relationship Finder released
Release of the DBpedia Relationship Finder. The relationship finder explores the DBpedia dataset two find out which relations exist between two things. It can answer questions like “How are Leipzig and the Semantic Web related?“.
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.org features at the moment:
- two large extracted datasets for different purposes
- a SPARQL endpoint and a data browser
- a visual query builder available at: http://wikipedia.aksw.org
More information about the project can be found at: http://dbpedia.org
Publications
Auer, S. and Lehmann, J., 
What have Innsbruck and Leipzig in common? Extracting semantics from wiki content. In: Franconi, E., Kifer, M., May, W. (Eds.), Proceedings of the 4th European Semantic Web Conference (ESWC).
Information
Last Modification: 
2008-03-16 21:50:04 by Soeren Auer