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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Xu, B., Kang, D., Lu, J., Li, Y., & Jiang, J. (2005). Mapping fuzzy concepts between fuzzy ontologies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 199–205). Springer Verlag. https://doi.org/10.1007/11553939_29
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