Alignment-Based Partitioning of Large-Scale Ontologies

  • Fayçal Hamdi
  • Brigitte Safar
  • Chantal Reynaud
  • Haïfa Zargayouna
Part of the Studies in Computational Intelligence book series (SCI, volume 292)

Abstract

Ontology alignment is an important task for information integration systems that can make different resources, described by various and heterogeneous ontologies, interoperate. However very large ontologies have been built in some domains such as medicine or agronomy and the challenge now lays in scaling up alignment techniques that often perform complex tasks. In this paper, we propose two partitioning methods which have been designed to take the alignment objective into account in the partitioning process as soon as possible. These methods transform the two ontologies to be aligned into two sets of blocks of a limited size. Furthermore, the elements of the two ontologies that might be aligned are grouped in a minimal set of blocks and the comparison is then enacted upon these blocks. Results of experiments performed by the two methods on various pairs of ontologies are promising.

Keywords

Ontology Matching Ontology Partitioning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Fayçal Hamdi
    • 1
  • Brigitte Safar
    • 1
  • Chantal Reynaud
    • 1
  • Haïfa Zargayouna
    • 2
  1. 1.LRI, Université Paris-Sud 11 - CNRS UMR 8623, Bât. G, INRIA Saclay - Île-de-FranceOrsayFrance
  2. 2.LIPNUniversité Paris 13 - CNRS UMR 7030VilletaneuseFrance

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