Exploiting DBpedia for web search results clustering

  • Authors:
  • Michael Schuhmacher;Simone Paolo Ponzetto

  • Affiliations:
  • University of Mannheim, Mannheim, Germany;University of Mannheim, Mannheim, Germany

  • Venue:
  • Proceedings of the 2013 workshop on Automated knowledge base construction
  • Year:
  • 2013

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Abstract

We present a knowledge-rich approach to Web search result clustering which exploits the output of an open-domain entity linker, as well as the types and topical concepts encoded within a wide-coverage ontology. Our results indicate that, thanks to an accurate and compact semantification of the search result snippets, we are able to achieve a competitive performance on a benchmarking dataset for this task.