Towards Learning Fuzzy DL Inclusion Axioms

  • Francesca A. Lisi
  • Umberto Straccia
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6857)

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 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.

Keywords

Description Logic Inductive Logic Program Horn Clause Ontology Language Atomic Concept 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Francesca A. Lisi
    • 1
  • Umberto Straccia
    • 2
  1. 1.Dipartimento di InformaticaUniversità degli Studi di Bari “Aldo Moro”Italy
  2. 2.ISTI - CNRPisaItaly

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