The DBpedia Association was founded in 2014 to support DBpedia and the DBpedia Community. Since then we are making steady progress towards professionalizing DBpedia for its users and forming an effective network out of the loosely organised DBpedia community.
DBpedia features around 20 language chapters which are concerned with the improvement and extraction of data from the language-specific Wikipedia versions. The chapters are part of the DBpedia executives who have taken on the responsibility to contribute to the infrastructure of DBpedia.
Members of the DBpedia community have been contributing to the expansion and stabilization of DBpedia since 2007. It started as a small project in Leipzig which grew into a large crowd-sourced project with scientists and researchers using the DBpedia Open Knowledge Graph worldwide.
Members of the DBpedia Association
The DBpedia Association has built up an extensive network of international members comprising representatives from industry and academia. All DBpedia members support and encourage DBpedia and actively use the Open Knowledge Graph to enrich their datasets.250 Count CLEAR Party Bomber Shot Cups w/Signature Party Picks
Since the emergence of the LOD Cloud in 2007 DBpedia constitutes the main resource of Linked Open Data on the Web containing more than 228 million entities to date. With the rapid growth of published LOD-datasets DBpedia evolved to the most interconnected freely available knowledge graph on the Web. Out of its popularity, numerous further resources emerged and have been created by and for research and industry for various purposes. As of today, a large community of Linked Data enthusiasts is continuously contributing
to the advancement of DBpedia. As a result, the main DBpedia Knowledge Graph encompassing cleaned data from Wikipedia in all languages and Wikidata reaches over 600k file downloads per year.
Discover and use the numerous DBpedia-related datasets and tools that have been developed providing data access, versioning, quality control, ontology visualization, linking infrastructures, and much more!