PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Lisi F., Straccia U. Dealing with incompleteness and vagueness inductive logic programming. In: CILC-13 - 28th Italian Conference on Computational Logic (Catania, Italy, 25-27 September 2013). Proceedings, pp. 179 - 193. (CEUR workshop proceedings, vol. 1068). CEUR, 2013.
 
 
Abstract
(English)
Incompleteness and vagueness are inherent properties of knowledge in several real world domains and are particularly pervading in those domains where entities could be better described in natural language. In order to deal with incomplete and vague structured knowledge, several fuzzy extensions of Description Logics (DLs) have been proposed in the literature. In this paper, we address the issues raised by incomplete and vague knowledge in Inductive Logic Programming (ILP). We present a novel ILP method for inducing fuzzy DL axioms from crisp DL assertions and discuss the results obtained in comparison with related works.
URL: http://ceur-ws.org/Vol-1068/paper-l12.pdf
Subject OWL 2
Learning
Fuzzy Logic
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