Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
Learning Logical Definitions from Relations
Machine Learning
An Induction Algorithm Based on Fuzzy Logic Programming
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Improving Expressivity of Inductive Logic Programming by Learning Different Kinds of Fuzzy Rules
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on soft computing for information mining
Induction of Fuzzy and Annotated Logic Programs
Inductive Logic Programming
Top-k Retrieval in Description Logic Programs Under Vagueness for the Semantic Web
SUM '07 Proceedings of the 1st international conference on Scalable Uncertainty Management
Managing uncertainty and vagueness in description logics for the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
Reasoning within fuzzy description logics
Journal of Artificial Intelligence Research
A Logic-based Computational Method for the Automated Induction of Fuzzy Ontology Axioms
Fundamenta Informaticae - Special Issue on the Italian Conference on Computational Logic: CILC 2011
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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 no 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.