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In this paper, the authors propose an ontology enhancement framework to accommodate imprecise concepts and their inter-relations mined from text documents. The proposed framework is modeled as a fuzzy ontology structure to represent concept descriptor as a fuzzy relation which encodes the degree of a property value using a fuzzy membership function. In their application, the fuzzy membership function is determined through text mining. Other than concept descriptors, the inter-concept relations in the ontology are also associated a fuzzy strength. The strength of association between two concepts determines the degree of association between the concepts.
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