Using BM25F for semantic search

  • Authors:
  • José R. Pérez-Agüera;Javier Arroyo;Jane Greenberg;Joaquin Perez Iglesias;Victor Fresno

  • Affiliations:
  • Metadata Research Center., SLIS. UNC;Computer Science School., UCM;Metadata Research Center., SLIS. UNC;Computer Science School., UNED;Computer Science School., UNED

  • Venue:
  • Proceedings of the 3rd International Semantic Search Workshop
  • Year:
  • 2010

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Abstract

Information Retrieval (IR) approaches for semantic web search engines have become very populars in the last years. Popularization of different IR libraries, like Lucene, that allows IR implementations almost out-of-the-box have make easier IR integration in Semantic Web search engines. However, one of the most important features of Semantic Web documents is the structure, since this structure allow us to represent semantic in a machine readable format. In this paper we analyze the specific problems of structured IR and how to adapt weighting schemas for semantic document retrieval.