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Reducing the Semantic Heterogeneity of Unstructured P2P Systems: A Contribution Based on a Dissemination Protocol

  • Thomas Cerqueus
  • Sylvie Cazalens
  • Philippe Lamarre
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7720)

Abstract

In resource sharing P2P systems with autonomous participants, each peer is free to use the ontology with which it annotates its resources. Semantic heterogeneity occurs when the peers do not use the same ontology. For example, a contributing peer A (e.g. a doctor) may annotate its photos, diagrams, data sets with some ontology of its own, while peer B (e.g. a genetician) uses another one. In order to answer a query issued in the system, peers need to know alignments that state correspondences between entities of two ontologies. Assuming that each peer has some partial initial knowledge of some alignments, we focus on correspondences sharing between the peers as a means to learn additional correspondences. We first provide several measures of semantic heterogeneity that enable to draw a semantic picture of the system and to evaluate the efficiency of protocols independently of query evaluation. We propose CorDis, a gossip-based protocol that disseminates the correspondences that the peers want to share in the system. To overcome the peers’ storage limitations, we propose to consider a history of past queries and to favor the correspondences involving frequently used entities. We study several policies that a peer may adopt in case of inconsistency i.e. when shared correspondences conflict with its own knowledge. We conduct experiments with a set of 93 ontologies actively used in the biomedical domain. We evaluate the CorDis protocol with respect to the proposed measures of semantic heterogeneity and show its good behavior for decreasing them in several contexts.

Keywords

Description Logic Disparity Function Query Evaluation Ontology Match Heterogeneity Measure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Thomas Cerqueus
    • 1
  • Sylvie Cazalens
    • 1
    • 2
  • Philippe Lamarre
    • 3
  1. 1.LINA - UMR 6241University of NantesNantes Cedex 3- France
  2. 2.INRIA Sophia Antipolis - MéditerranéeMontpellier CenterMontpellier Cedex 5- France
  3. 3.LIRIS - CNRS - UMR 5205, F69621University of LyonVilleurbanne- France

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