f-SWRL: a fuzzy extension of SWRL

  • Authors:

  • Jeff Z. Pan;Giorgos Stamou;Vassilis Tzouvaras;Ian Horrocks

  • Affiliations:

  • School of Computer Science, The University of Manchester, Manchester, UK;Department of Electrical and Computer Engineering, National Technical University of Athens, Greece;Department of Electrical and Computer Engineering, National Technical University of Athens, Greece;School of Computer Science, The University of Manchester, Manchester, UK

  • Venue:
  • ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
  • Year:
  • 2005

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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.