Query Evaluation in Peer-to-Peer Networks of Taxonomy-Based Sources

  • Yannis Tzitzikas
  • Carlo Meghini
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2888)

Abstract

We consider the problem of query evaluation in Peer-to-Peer (P2P) systems that support semantic-based retrieval services. We confine ourselves to the case where the peers employ taxonomies for describing the contents of the objects, and articulations, i.e. inter-taxonomy mappings, for bridging the inevitable naming, granularity and contextual heterogeneities that may exist between the taxonomies of the sources. We identify two basic query evaluation approaches: one based on query rewriting, the other based on direct query evaluation. For each approach we present a centralized and a decentralized algorithm for carrying out the query evaluation task. Finally, we present a qualitative comparison of these algorithms and discuss further optimizations. Correctness of the algorithms presented is based on a mathematical analysis of the problem.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Yannis Tzitzikas
    • 1
  • Carlo Meghini
    • 1
  1. 1.Istituto di Scienza e Tecnologie dell’ Informazione [ISTI]Consiglio Nazionale delle Ricerche [CNR]PisaItaly

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