DBpedia – Querying Wikipedia like a Semantic Database
AKSW tools prominently featured in TÜB?TAK
Börtecin Ege wrote an article on the Semantic Web in the December issue of TÜB?TAK (The Scientific and Technological Research Council of Turkey) prominently featuring DBpedia, Relfinder, LIMES, SPARQL Benchmark and other AKSW related research projects. See Semantik Web Tübitak Bilim Teknik 12 2011.
DBpedia SPARQL Benchmark paper wins ISWC2011 best-paper award
The closing ceremony of ISWC2011 in Bonn is just over and we are excited to have won the best research paper award with our paper: Mohamed Morsey, Jens Lehmann, Sören Auer, Axel Cyrille Ngonga Ngomo: DBpedia SPARQL Benchmark ? Performance Assessment with Real Queries on Real Data. To appear in Proceedings of 10th International Semantic [...]
Official DBpedia Live Release
The AKSW group is pleased to announce the official release of DBpedia Live. The main objective of DBpedia is to extract structured information from Wikipedia, convert it into RDF, and make it freely available on the Web. In a nutshell, DBpedia is the Semantic Web mirror of Wikipedia. Wikipedia users constantly revise Wikipedia articles with [...]
AKSW at TU Dresden PLT
On June 8, I (Jens) visited the process control engineering research group (PLT) of Leon Urbas at the Dresden University of Technology. We first met on the Leipziger Semantic Web Day where Leon Urbas presented interactive Linked Data applications and decided to have a longer meeting later on. I first gave a talk on the [...]
May 4-5: Leipziger Semantic Web Tag 2011 and Local Media Conferenz
Like in the past two years, we again organize a Leipzig Semantic Web Day on May 5th at the marvelous Mediencampus Villa Ida. This year’s theme is “Linked Data for the Masses”, particularly focusing on its use in enterprises. This event will not only give you the opportunity to discuss current developments around semantic web [...]
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).
AKSW Contributors
Claus StadlerInformation
Last Modification: 
2011-07-11 10:30:51 by Sebastian Dietzold