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Similarity-Based Queries for Information Retrieval

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Databases in Networked Information Systems (DNIS 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1966))

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Abstract

This paper presents a formal framework for queries based on similarity in fuzzy information retrieval systems. It is well known that a mechanism for improving the retrieval recall is the use of broader terms or specific terms to the terms that appears in the original query. The devices of expansion of queries use fuzzy thesauri and the notion of hierarchies. The formal framework presents three components: T, the set of all the terms in the system,Γ, the set of transformation rules applied on T, L, the flexible query language. This framework is based on the fuzzy set theory.

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Author information

Authors and Affiliations

  1. Department of Computer, FACYT, University of Carabobo, Zip Code 5053, 2005, Naguanagua, Venezuela

    Ana Isabel Aguilera

  2. Department of Mathematics, FACYT, University of Carabobo, Zip Code 5053, 2005, Naguanagua, Venezuela

    Alberto Rafael Subero

  3. Department of Computer, University Simón Bolívar, Zip Code 89000, 1080-A, Caracas, Venezuela

    Leonid José Tineo

Authors
  1. Ana Isabel Aguilera
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  2. Alberto Rafael Subero
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  3. Leonid José Tineo
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Editor information

Editors and Affiliations

  1. Database Systems Laboratory, University of Aizu, Aizu-Wakamatsu City, Fukushima, 965-8580, Japan

    Subhash Bhalla

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© 2000 Springer-Verlag Berlin Heidelberg

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Isabel Aguilera, A., Rafael Subero, A., José Tineo, L. (2000). Similarity-Based Queries for Information Retrieval. In: Bhalla, S. (eds) Databases in Networked Information Systems. DNIS 2000. Lecture Notes in Computer Science, vol 1966. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44431-9_11

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  • DOI: https://doi.org/10.1007/3-540-44431-9_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41395-0

  • Online ISBN: 978-3-540-44431-2

  • eBook Packages: Springer Book Archive

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