PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Lisi F., Straccia U. A system for learning GCI axioms in fuzzy description logics. In: DL 2013 - 26th International Workshop on Description Logics (Ulm, Germany, 23-26 July 2013). Proceedings, vol. 1014 pp. 760 - 778. Thomas Eiter, Birte Glimm, Yevgeny Kazakov, Markus Krötzsch (eds.). CEUR Electronic Workshop Proceedings, 2013.
 
 
Abstract
(English)
Vagueness is inherent to several real world domains and is particularly pervading in those domains where entities could be better described in natural language. In order to deal with vague knowledge, several fuzzy extensions of DLs have been proposed. In this paper, we face the problem of supporting the evolution of DL ontologies under vague- ness. Here, we present a system for learning fuzzy GCI axioms from crisp assertions and discuss preliminary experimental results obtained in the tourism application domain.
URL: http://ceur-ws.org/Vol-1014/paper_42.pdf
Subject OWL 2
Learning
F.4 MATHEMATICAL LOGIC AND FORMAL LANGUAGES


Icona documento 1) Download Document PDF


Icona documento Open access Icona documento Restricted Icona documento Private

 


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional