Improving the efficiency of ontology engineering by introducing prototypicality

Authors:
Xavier Aimé;Frédéric Fürst;Pascale Kuntz;Francky Trichet
Affiliations:
LINA, University of Nantes & Tennaxia, France, xaime@tennaxia.com;MIS, University of Picardie, France, frederic.furst@u-picardie.fr;LINA, University of Nantes, France, pascale.kuntz, francky.trichet@univ-nantes.fr;LINA, University of Nantes, France, pascale.kuntz, francky.trichet@univ-nantes.fr
Venue:
Proceedings of the 2010 conference on STAIRS 2010: Proceedings of the Fifth Starting AI Researchers' Symposium
Year:
2010

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Abstract

This paper introduces the notion of prototypicality in Ontology Engineering. Three kinds of prototypicality are considered: a concept can be more or less representative of its super-concept (conceptual prototypicality); a term can be more or less associated to a concept (lexical prototypicality); an instance can be more or less representative of its concept (instance prototypicality). Prototypicalities are modeled as order relations which allow to modulate links between concepts, terms and instances within an ontology. To calculate prototypicality gradients used to quantify these orders, we advocate a specific method which is based on all the components of an ontology (i.e. concepts, properties and instances) and a corpus. This paper also underlines the relevance of prototypicality for improving the efficiency of Ontology Engineering processes, in particular Ontology Personalization and Semantic-based Information Retrieval.