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Ontological Distance Measures for Information Visualisation on Conceptual Maps

  • Sylvie Ranwez
  • Vincent Ranwez
  • Jean Villerd
  • Michel Crampes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4278)

Abstract

Finding the right semantic distance to be used for information research, classification or text clustering using Natural Language Processing is a problem studied in several domains of computer science. We focus on measurements that are real distances: i.e. that satisfy all the properties of a distance. This paper presents one isa -distance measurement that may be applied to taxonomies. This distance, combined with a distance based on relations other than isa, may be a step towards a real semantic distance for ontologies. After presenting the purpose of this work and the position of our approach within the literature, we formally detail our isa-distance. It is extended to other relations and used to obtain a MDS projection of a musical ontology in an industrial project. The utility of such a distance in visualization, navigation, information research and ontology engineering is underlined.

Keywords

isa-distance Semantic Distance MDS Ontology Visualisation Conceptual Maps Ontology Engineering 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sylvie Ranwez
    • 1
  • Vincent Ranwez
    • 2
  • Jean Villerd
    • 1
  • Michel Crampes
    • 1
  1. 1.LGI2P Research CentreNîmes cedex 1France
  2. 2.Laboratoire de Paléontologie, Phylogénie et Paléobiologie, Institut des Sciences de l’Evolution (UMR 5554 CNRS)Université Montpellier IIMONTPELLIER Cedex 05France

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