Approximate Information Filtering on the Semantic Web
KI '02 Proceedings of the 25th Annual German Conference on AI: Advances in Artificial Intelligence
Ontology mapping: the state of the art
The Knowledge Engineering Review
A fuzzy ontology for medical document retrieval
ACSW Frontiers '04 Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32
Reasoning within fuzzy description logics
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A framework for a fuzzy matching between multiple domain ontologies
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A conceptual graph based approach for mappings among multiple fuzzy ontologies
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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.