An Inductive Logic Programming Approach to Learning Inclusion Axioms in Fuzzy Description Logics.
Year: 2011
Type: conference-paper
Abstract: . Fuzzy Description Logics (DLs) are logics that allow to deal with vague structured 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 fuzzy ontologies has received very little attention so far. We report here our preliminary investigation on this issue by describing a method for inducing inclusion axioms in a fuzzy DL-Lite like DL. 1
Authors: Francesca A. Lisi, Umberto Straccia
Institutions: University of Bari Aldo Moro, National Research Council
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2403302316