Is there somewhere place we can find some simple documentation about how to build queries? And what do we do if we get unexpected results?

-----Original Message----- From: wikitech-l-bounces(a)lists.wikimedia.org [mailto:wikitech-l-bounces@lists.wikimedia.org]On Behalf Of Chris Bizer Sent: Thursday, 6 September 2007 2:15 AM To: wikitech-l(a)lists.wikimedia.org Subject: [Wikitech-l] DBpedia - Querying Wikipedia like a Database: Improveddataset released. Hi all, after quite some work into improving the DBpedia information extraction framework, we have released a new version of the DBpedia dataset today. DBpedia is a community effort to extract structured information from Wikipedia and to 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. The DBpedia dataset describes 1,950,000 "things", including at least 80,000 persons, 70,000 places, 35,000 music albums, 12,000 films. It contains 657,000 links to images, 1,600,000 links to relevant external web pages and 440,000 external links into other RDF datasets. Altogether, the DBpedia dataset consists of around 103 million RDF triples. The Dataset has been extracted from the July 2007 Wikipedia dumps of English, German, French, Spanish, Italian, Portuguese, Polish, Swedish, Dutch, Japanese, Chinese, Russian, Finnish and Norwegian versions of Wikipedia. It contains descriptions in all these languages. Compared to the last version, we did the following: 1. Improved the Data Quality We increased the quality of the data, be improving the DBpedia information extraction algorithms. So if you have decided that the old version of the dataset was too dirty for your application, please look again, you will be surprised :-) 2. Third Classification Schema Added We have added a third classification schema to the dataset. Beside of the Wikipedia categorization and the YAGO classification, concepts are now also classified by associating them to WordNet synsets. 3. Geo-Coordinates The dataset contains geo-coordinates for for geographic locations. Geo-coordinates are expressed using the W3C Basic Geo Vocabulary. This enables location-based SPARQL queries. 4. RDF Links to other Open Datasets We interlinked DBpedia with further open datasets and ontologies. The dataset now contains 440 000 external RDF links into the Geonames, Musicbrainz, WordNet, World Factbook, EuroStat, Book Mashup, DBLP Bibliography and Project Gutenberg datasets. Altogether, the network of interlinked datasources around DBpedia currently amounts to around 2 billion RDF triples which are accessible as Linked Data on the Web. The DBpedia dataset is licensed under the terms GNU Free Documentation License. The dataset can be accessed online via a SPARQL endpoint and as Linked Data. It can also be downloaded in the form of RDF dumps. Please refer to the DBpedia webpage for more information about the dataset and its use cases: http://dbpedia.org/ Many thanks for their excellent work to: 1. Georgi Kobilarov (Freie Universität Berlin) who redesigned and improved the extraction framework and implemented many of the interlinking algorithms. 2. Piet Hensel (Freie Universität Berlin) who improved the infobox extraction code, wrote the unit test suite. 3. Richard Cyganiak (Freie Universität Berlin) for his advice on redesigning the architecture of the extraction framework and for helping to solve many annoying Unicode and URI problems. 4. Zdravko Tashev (OpenLink Software) for his patience to try several times to import buggy versions of the dataset into Virtuoso. 5. OpenLink Software altogether for providing the server that hosts the DBpedia SPARQL endpoint. 6. Sören Auer, Jens Lehmann and Jörg Schüppel (Universität Leipzig) for the original version of the infobox extraction code. 7. Tom Heath and Peter Coetzee (Open University) for the RDFS version of the YAGO class hirarchy. 8. Fabian M. Suchanek, Gjergji Kasneci (Max-Plank-Institut Saarbrücken) for allowing us to integrate the YAGO classification. 9. Christian Becker (Freie Universität Berlin) for writing the geo-coordinates and the homepage extractor. 10. Ivan Herman, Tim Berners-Lee, Rich Knopman and many others for their bug reports. Have fun exploring the new dataset :-) Cheers Chris -- Chris Bizer Freie Universität Berlin Phone: +49 30 838 54057 Mail: chris(a)bizer.de Web: www.bizer.de -- Chris Bizer Freie Universität Berlin Phone: +49 30 838 54057 Mail: chris(a)bizer.de Web: www.bizer.de _______________________________________________ Wikitech-l mailing list Wikitech-l(a)lists.wikimedia.org http://lists.wikimedia.org/mailman/listinfo/wikitech-l

This project is very, very interesting for a content syndacation, but I would have some documentation also for me. As Wikimedia Ch board member we have registered www.wikipedia.ch but we have not content on it. I thought to include some content concerning the Swiss in three languages on the same page. Using Mediawiki it's very difficult to made. You understand that if I have the database I can proceed to include the content in any page without mediawiki. Ilario Valdelli Wikimedia CH board member On 9/5/07, Chris Bizer <chris(a)bizer.de> wrote: _______________________________________________ Wikitech-l mailing list Wikitech-l(a)lists.wikimedia.org http://lists.wikimedia.org/mailman/listinfo/wikitech-l