For Immediate Release
Contact: Janine Glahn
Freie Universitaet Berlin
Department of Computer Science and Mathematics
Institute of Computer Science
Corporate Semantic Web
Königin-Luise-Straße 24/26
14195 Berlin
Phone: +49-30-838 75256
email: glahn@inf.fu-berlin.de
DBPedia Deutschland 1.0 Release - The German part of the Wikipedia for Machines
20-July-2009: DBpedia [1] is a community effort to extract structured information from Wikipedia [2] and to make this information available on the Web as Linked Data [3] [4].
Linked Data is about using the Semantic Web, with URIs and the Resource Description Framework triple technology (RDF), to connect related data, information and knowledge, in order to support automated machine-processing. Linked Data is seen as an intermediate step in the evolution of the document-oriented Web and the heterogonous database Deep Web to the future Semantic Web. More and more information sources become available as Linked Data in addition to the traditional HTML web sites which were purely for human consumption.
In short, DBpedia, following the Linked Data principle, allows machines to automatically process Wikipedia data, to ask sophisticated queries against Wikipedia information, and to link other data sets on the Web to Wikipedia data.
DBPedia Deutschland [5] is the German part of DBPedia. It extracts structured information from Wikipedia (Deutschland) [6] and makes this information available on the Linked Date Web. DBPedia Deutschland is a joint project of the research group AKSW [7], lead by Dr. Soeren Auer at the University of Leipzig, and the research group Corporate Semantic Web, lead by Prof. Dr. Adrian Paschke at the Freie Universitaet Berlin [8]. It comprises over 100 million facts extracted from Wikipedia Deutschland. This allows machines answering questions, such as "Which impressionists are born in Berlin?" or "Which chemical elements are contained in the periodic table?".
DBPedia Deutschland runs an AllegroGraph triple store from Franz Inc. [7], which is an industry-strength, high-performance, persistent RDF graph database. AllegroGraph uses disk-based storage, enabling it to scale to billions of triples while maintaining high performance. AllegroGraph supports SPARQL, RDFS++, and Prolog reasoning from Java applications.
AGWebView can be used by humans to access the DBPedia data in the AllgegroGraph triple store from an ordinary Web browser [8]. For machines, there is a SPARQL web endpoint available at http://de.dbpedia.org:4039/sesame/repositories/dbpedia. [9]
Next releases of DBPedia Deutschland will include improved tool support such as various online translator services supporting different data output formats, support for federated SPARQL queries, RuleResponder intelligent rule-based inference service support for web services / agents as well as a controlled language web browser interface for humans, support for geo-temporal reasoning and social network analysis queries, AllegroGraph Gruff graph-based browsing support, etc.
The first DBPedia Deutschland release and first use cases will be featured at the 3rd Berlin Semantic Web Meetup and CSW workshop at Xinnovations 2009, Berlin, September 15th, 2009. [10]
For further information and news see the DBPedia Deutschland website: http://de.dbpedia.org/
[4] http://en.wikipedia.org/wiki/Linked_Data
[7] http://franz.com/agraph/allegrograph/
[8] http://de.dbpedia.org:4040/s/dbpedia/#query
[9] http://de.dbpedia.org/index.php/Access.html
[10] http://www.meetup.com/The-Berlin-Semantic-Web-Meetup-Group/
About Franz Inc.
Based in Oakland, California, Franz Inc., an American-owned company, is an innovative technology company with expert knowledge in developing and deploying Semantic Web technologies (i.e. Web 3.0) and providing Common Lisp based tools that offer an ideal environment to create complex, mission-critical applications.
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