Exploiting DBPedia for Web search results clustering

Michael Schuhmacher, Simone Paolo Ponzetto

Jun 28, 2013 (modified: Jun 28, 2013) AKBC 2013 submission readers: everyone
  • 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.
  • Decision: conferencePoster
  • Authorids: michael@informatik.uni-mannheim.de, ponzius@gmail.com

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