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.
This work was supported in part by the NSFC (60373066, 60425206, 90412003), National Grand Fundamental Research 973 Program of China (2002CB312000), National Research Foundation for the Doctoral Program of Higher Education of China (20020286004)
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Xu, B., Kang, D., Lu, J., Li, Y., Jiang, J. (2005). Mapping Fuzzy Concepts Between Fuzzy Ontologies. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_29
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DOI: https://doi.org/10.1007/11553939_29
Publisher Name: Springer, Berlin, Heidelberg
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