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A Unifying Model of Flexible Queries with Distinct Semantics of Search Term Weights

Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 497)

Abstract

When querying documents archives there is often the need to specify importance weights of the search terms that define flexible selection conditions on documents representation. Several interpretations of the semantics of these weights have been proposed within distinct information retrieval models. In this contribution we define a unifying model of information retrieval based on a vector p-norm, were importance weights with distinct semantics can be specified in flexible queries.

Keywords

Flexible querying Soft aggregations Flexible selection conditions Importance weights Index term weights 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Gloria Bordogna
    • 1
  • Gabriella Pasi
    • 2
  • Giuseppe Psaila
    • 3
  1. 1.CNR IDPADalmineItaly
  2. 2.Dipartimento Informatica Sistemistica e ComunicazioneUniversity of Milano BicoccaMilanoItaly
  3. 3.Department of EngineeringUniversity of BergamoDalmineItaly

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