Communication Dans Un Congrès Année : 2006

Ontological Distance Measures for Information Visualisation on Conceptual Maps

Résumé

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.

Dates et versions

hal-04665685 , version 1 (31-07-2024)

Identifiants

Citer

Sylvie Ranwez, Vincent Ranwez, Jean Villerd, Michel Crampes. Ontological Distance Measures for Information Visualisation on Conceptual Maps. OTM 2006 Workshops, Oct 2006, Montpellier, France. pp.1050-1061, ⟨10.1007/11915072_7⟩. ⟨hal-04665685⟩
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