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.
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.
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.