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 data sets on the Web to Wikipedia data.
In the German Wikipedia biographical records are enriched with data fields that contain name, date, place of birth and other metadata. Concept, history and usage of this Personendaten are explained and some experiences and statistics are shown. Personendaten and links to authority files are only one part of semantic information in Wikipedia. A vision of future enhancements is shown to illustrate Wikipedia's role in the Semantic Web.
DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to make sophisticated queries against Wikipedia, and to link other data sets on the Web to Wikipedia data.
DBpedia is the Semantic Web version of Wikipedia and enables you to ask sophisticated queries against Wikipedia data. The flickr wrappr extends DBpedia with RDF links to photos posted on flickr. For each of the 1.95 million DBpedia concepts, the wrappr ge
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 data sets on the Web to Wikipedia data. We hope this will make it easier for the amazing amount of information in Wikipedia to be used in new and interesting ways, and that it might inspire new mechanisms for navigating, linking and improving the encyclopaedia itself.
The WikiProject "Semantic MediaWiki" provides a common platform for discussing extensions of the MediaWiki software that allow for simple, machine-based processing of Wiki content. This usually requires some form of "semantic annotation," but the special Wiki environment and the multitude of envisaged applications impose a number of additional requirements.
The overall objective of the project is to develop a single solution for semantic annotation that fits the needs of most Wikimedia projects and still meets the Wiki-specific requirements of usability and performance. It is understood that ad hoc implementations (i.e. "hacks") may sometimes solve single problems, but agreeing on common editing syntax, underlying technology, exchange formats, etc. bears huge advantages for all participants.
If you support these ideas or want to participate in the discussion, you might want to enter your login in the list of participants below. We try to be very verbose, to enable you to join the discussion.
Faviki is a social bookmarking tool which allows users to use common, predefined tags to annotate web pages. Using the Wikipedia collection of articles as a source of a universal controlled vocabulary, it provides so-called ‘semantic tags’. In this way, web pages saved by users are not just described by random words but connected to uniquely defined concepts.
T. Tunsch. EVA 2008 Berlin: Elektronische Bildverarbeitung & Kunst, Kultur, Historie, die 15. Berliner Veranstaltung der Internationalen EVA-Serie Electronic Imaging & the Visual Arts. Konferenzband, page 189--197. Berlin, Staatliche Museen zu Berlin, Gesellschaft z. Förderung angewandter Informatik, EVA Conferences International 2008, (2008)
T. Tunsch. EVA Berlin 2019: elektronische Medien & Kunst, Kultur, Historie; Konferenzband; die 26. Berliner Veranstaltung der Internationalen EVA-Serie Electronic Media and Visual Arts; 7. - 8. November 2019, Kunstgewerbemuseum am Kulturforum Potsdamer Platz, Berlin / eine Kooperation zwischen den Staatlichen Museen zu Berlin, Preußischer Kulturbesitz u. dem Deutschen Zentrum für Luft- und Raumfahrt e.V. - Institut für Optische Sensorsysteme, page 105--111 (print) 107--113 (PDF). Berlin, Staatliche Museen zu Berlin und Deutsches Zentrum für Luft- und Raumfahrt e.V. - Institut für Optische Sensorsysteme, (2019)