Extracting Relevant Attribute Values for Improved Search

  • Authors:
  • Sonia Bergamaschi;Claudio Sartori;Francesco Guerra;Mirko Orsini

  • Affiliations:
  • University of Modena and Reggio Emili;University of Bologna;University of Modena and Reggio Emili;University of Modena and Reggio Emili

  • Venue:
  • IEEE Internet Computing
  • Year:
  • 2007

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Abstract

A new kind of metadata offers a synthesized view of an attribute's values for a user to exploit when creating or refining a search query in data-integration systems. The extraction technique that obtains these values is automatic and independent of an attribute domain but parameterized with various metrics for similarity measures. The authors describe a fully implemented prototype and some experimental results to show the effectiveness of "relevant values" when searching a knowledge base.