Mapping fuzzy concepts between fuzzy ontologies

  • Authors:
  • Baowen Xu;Dazhou Kang;Jianjiang Lu;Yanhui Li;Jixiang Jiang

  • Affiliations:
  • Department of Computer Science and Engineering, Southeast University, Nanjing, China;Department of Computer Science and Engineering, Southeast University, Nanjing, China;Department of Computer Science and Engineering, Southeast University, Nanjing, China;Department of Computer Science and Engineering, Southeast University, Nanjing, China;Department of Computer Science and Engineering, Southeast University, Nanjing, China

  • Venue:
  • KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
  • Year:
  • 2005

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Abstract

Fuzzy ontology mapping is important for handling uncertain knowledge on the semantic web. However, current ontology mapping technologies are not sufficient for fuzzy ontologies. This paper proposes a framework of mapping fuzzy concepts between fuzzy ontologies. It applies the approximate concept mapping approach, extends atom fuzzy concept sets and defines the least upper bounds to reduce the searching space. It resolves the mapping problem of fuzzy concepts into finding the simplified least upper bounds for atom fuzzy concepts, and gives an algorithm for searching the simplified least upper bounds, which is fast and proved correct. The framework is efficient for mapping fuzzy concepts between fuzzy ontologies.