A Logic-based Computational Method for the Automated Induction of Fuzzy Ontology Axioms

Issue title: Special Issue on the Italian Conference on Computational Logic: CILC 2011

Article type: Research Article

Authors: Lisi, Francesca A. | Straccia, Umberto

Affiliations: Dipartimento di Informatica, Università degli Studi di Bari “Aldo Moro”, Italy. francesca.lisi@uniba.it | ISTI - CNR, Pisa, Italy. umberto.straccia@isti.cnr.it

Note: [] Address for correspondence: Campus Universitario “E. Quagliariello”, Via E. Orabona 4, 70125 Bari, Italy

Abstract: Fuzzy Description Logics (DLs) are logics that allow to deal with structured vague knowledge. Although a relatively important amount of work has been carried out in the last years concerning the use of fuzzy DLs as ontology languages, the problem of automatically managing the evolution of fuzzy ontologies has received very little attention so far. We describe here a logic-based computational method for the automated induction of fuzzy ontology axioms which follows the machine learning approach of Inductive Logic Programming. The potential usefulness of the method is illustrated by means of an example taken from the tourism application domain.

Keywords: Inductive Logic Programming, Fuzzy Description Logics, Ontologies

DOI: 10.3233/FI-2013-846

Journal: Fundamenta Informaticae, vol. 124, no. 4, pp. 503-519, 2013