Mining the Semantic Web Statistical Learning for Next Generation Knowledge Bases

  title={Mining the Semantic Web Statistical Learning for Next Generation Knowledge Bases},
  author={Achim Rettinger and Uta L{\"o}sch and Volker Tresp and Claudia d’Amato and Nicola Fanizzi},
In the Semantic Web vision of the World Wide Web, content will not only be accessible to humans but will also be available in machine interpretable form as ontological knowledge bases. Ontological knowledge bases enable formal querying and reasoning and, consequently, a main research focus has been the investigation of how deductive reasoning can be utilized in ontological representations to enable more advanced applications. However, purely logic methods have not yet proven to be very… CONTINUE READING
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