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

Academic Article
Publication Date:
2013
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Fuzzy Description Logic; Learning; F.4 MATHEMATICAL LOGIC AND FORMAL LANGUAGES
List of contributors:
Straccia, Umberto
Authors of the University:
STRACCIA UMBERTO
Handle:
https://iris.cnr.it/handle/20.500.14243/142411
Published in:
FUNDAMENTA INFORMATICAE
Journal
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URL

http://iospress.metapress.com/content/n23w2jj971425818/?issue=4&genre=article&spage=503&issn=0169-2968&volume=124
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