Discovery of relation axioms from the web

Authors:
Luis Del Vasto Terrientes;Antonio Moreno;David Sánchez
Affiliations:
Universitat Rovira i Virgili, Departament d'Enginyeria Informàtica i Matemàtiques, Intelligent Technologies for Advanced Knowledge Acquisition, Tarragona, Catalonia, Spain;Universitat Rovira i Virgili, Departament d'Enginyeria Informàtica i Matemàtiques, Intelligent Technologies for Advanced Knowledge Acquisition, Tarragona, Catalonia, Spain;Universitat Rovira i Virgili, Departament d'Enginyeria Informàtica i Matemàtiques, Intelligent Technologies for Advanced Knowledge Acquisition, Tarragona, Catalonia, Spain
Venue:
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
Year:
2010

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Abstract

Given the proven usefulness of ontologies in many areas, the representation of logical axioms associated to ontological concepts and relations has become an important task in order to create an expressive representation of domain knowledge. Manual inclusion of logical axioms into an ontology can be a harsh, time consuming task. As a result, very few ontologies include axioms in their formal definition. From the ontology learning point of view, axiom learning is one of the less tackled and unexplored problems. In this paper we introduce a preliminary methodology to learn axioms associated to ontological relationships in an automatic and unsupervised way using the Web as corpus.