Abstract
In an attempt to extend existing knowledge representation systems to deal with the imperfect nature of real world information involved in several applications like multimedia analysis and understanding, the AI community has devoted considerable attention to the representation and management of uncertainty, imprecision and vague knowledge. Moreover, a lot of work has been carried out on the development of reasoning engines that can interpret imprecise knowledge. The need to deal with imperfect and imprecise information is likely to be common in the context of multimedia and the (Semantic) Web. In anticipation of such requirements, this paper presents a proposal for fuzzy extensions of SWRL, which is a rule extension to OWL DL.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11550907_163 .
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Pan, J.Z., Stamou, G., Tzouvaras, V., Horrocks, I. (2005). f-SWRL: A Fuzzy Extension of SWRL. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550907_131
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DOI: https://doi.org/10.1007/11550907_131
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