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Finite fuzzy description logics: a crisp representation for finite fuzzy ALCH

Conference Paper
Publication Date:
2010
abstract:
Fuzzy Description Logics (DLs) are a formalism for the representation of structured knowledge affected by imprecision or vagueness. In the setting of fuzzy DLs, restricting to a finite set of degrees of truth has proved to be useful. In this paper, we propose finite fuzzy DLs as a generalization of existing approaches. We assume a finite totally ordered set of linguistic terms or labels, which is very useful in practice since expert knowledge is usually expressed using linguistic terms. Then, we consider any smooth t-norm defined over this set of degrees of truth. In particular, we focus on the finite fuzzy DL $mathcal{ALCH}$, studying some logical properties, and showing the decidability of the logic by presenting a reasoning preserving reduction to the non-fuzzy case.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Mathematical Logic and Formal Languages; Description Logics; Fuzzy; OWL 2
List of contributors:
Bobillo, Fernando; Straccia, Umberto
Authors of the University:
STRACCIA UMBERTO
Handle:
https://iris.cnr.it/handle/20.500.14243/63101
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/63101/86232/prod_92100-doc_54260.pdf
Book title:
Proceedings of the 6th ISWC Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010)
Published in:
CEUR WORKSHOP PROCEEDINGS
Series
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URL

http://ceur-ws.org/Vol-654/paper6.pdf
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