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
Book title:
Proceedings of the 6th ISWC Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010)
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