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Relevance Ranking Tuning for Similarity Queries on XML Data

  • Paolo Ciaccia
  • Wilma Penzo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2590)

Abstract

Similarity query techniques integrating semantics and structure of XML data have been recently investigated. Mostly, query relaxations are not fully exploited to retrieve data that approximate query conditions on data organization. In this paper we present a method to widen the spectrum of relevant data, and we define a measure to tune the ranking of results, so that also information on relevance quality of data retrieved can be inferred from scores.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Paolo Ciaccia
    • 1
  • Wilma Penzo
    • 1
  1. 1.DEIS - CSITE-CNRUniversity of BolognaItaly

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