Web query disambiguation using PageRank

  • Authors:

  • Christos Makris;Yannis Plegas;Sofia Stamou

  • Affiliations:

  • Department of Computer Engineering and Informatics, University of Patras, Rio26500, Patras, Greece;Department of Computer Engineering and Informatics, University of Patras, Rio26500, Patras, Greece;Department of Computer Engineering and Informatics, University of Patras, Rio26500, Patras, Greece and Department of Archives and Library Science, Ionian University, 49100, Corfu, Greece

  • Venue:
  • Journal of the American Society for Information Science and Technology
  • Year:
  • 2012

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Abstract

In this article, we propose new word sense disambiguation strategies for resolving the senses of polysemous query terms issued to Web search engines, and we explore the application of those strategies when used in a query expansion framework. The novelty of our approach lies in the exploitation of the Web page PageRank values as indicators of the significance the different senses of a term carry when employed in search queries. We also aim at scalable query sense resolution techniques that can be applied without loss of efficiency to large data sets such as those on the Web. Our experimental findings validate that the proposed techniques perform more accurately than do the traditional disambiguation strategies and improve the quality of the search results, when involved in query expansion. © 2012 Wiley Periodicals, Inc.