Abstract
The fuzzy knowledge plays an important role in many applications on the semantic web which faces imprecise and vague information. The current ontology languages on the semantic web use description logics as their logic foundation, which are insufficient to deal with fuzzy knowledge. Comparisons expressions between fuzzy membership degrees are frequently used in fuzzy knowledge systems. However, the current fuzzy extensions of description logics are not support the expression of such comparisons. This paper defines fuzzy comparison cuts to represent comparison expressions, extends fuzzy description logics by importing fuzzy comparison cuts and introducing new constructors. Furthermore, the reasoning algorithm is proposed. It enables representation and reasoning for fuzzy knowledge on the semantic web.
This work was supported in part by the National High Technology Research and Development Program of China (No. 2007AA01Z126, 863 Program).
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Lu, J., Kang, D., Zhang, Y., Li, Y., Zhou, B. (2008). A Family of Fuzzy Description Logics with Comparison Expressions. In: Wang, G., Li, T., Grzymala-Busse, J.W., Miao, D., Skowron, A., Yao, Y. (eds) Rough Sets and Knowledge Technology. RSKT 2008. Lecture Notes in Computer Science(), vol 5009. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79721-0_55
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