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 the more recent Wikipedia dumps we used, some notable improvements are a much better YAGO mapping, providing a more complete (more classes assigned to instances) and accurate (95% accuracy) class hierarchy for DBpedia. The Geo extractor code has been improved and is now run for all 14 languages. URI validation has switched to the PEAR validation class.

Downloads | ChangeLog

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 provided NT and CSV files is 5,0 GB (uncompressed: 48,1 GB). The available data sets contain 92M triples (excluding 126M triples for internal Wikipedia links). DBpedia’s coverage grows to 2.4M entities for the English edition in this release, thanks to the hard-working Wikipedia contributors.

The extraction was performed on a server of our research group. I would like to thank Jörg Schüppel, Sören Auer, Chris Bizer, Richard Cyganiak, Georgi Kobilarov, the OpenLink team, and many other contributors for their DBpedia support.

DBpedia 3.0 Downloads | DBpedia 3.0 Changelog

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.

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.

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?“.