ISSN : 1796-217X
Volume : 3    Issue : 9    Date : December 2008

Semantic Information Retrieval Based on Fuzzy Ontology for Electronic Commerce
Jun Zhai, Yiduo Liang, Yi Yu, and Jiatao Jiang
Page(s): 20-27
Full Text:
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Information retrieval is the important work for Electronic Commerce. Ontology-based semantic
retrieval is a hotspot of current research. In order to achieve fuzzy semantic retrieval, this paper
applies a fuzzy ontology framework to information retrieval system in E-Commerce. The framework
includes three parts: concepts, properties of concepts and values of properties, in which property’s
value can be either standard data types or linguistic values of fuzzy concepts. The semantic query
expansions are constructed by order relation, equivalence relation, inclusion relation, reversion
relation and complement relation between fuzzy concepts defined in linguistic variable ontologies
with Resource Description Framework (RDF). The application to retrieve customer, product and
supplier information shows that the framework can overcome the localization of other fuzzy ontology
models, and this research facilitates the semantic retrieval of information through fuzzy concepts on
the Semantic Web.

Index Terms
semantic information retrieval, fuzzy ontology, ontology, electronic commerce, the Semantic Web