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2008

Semantic Information Retrieval Based on Fuzzy Ontology for Electronic Commerce

11 years 6 months ago
Semantic Information Retrieval Based on Fuzzy Ontology for Electronic Commerce
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 W...
Jun Zhai, Yiduo Liang, Yi Yu, Jiatao Jiang
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2008
Where JSW
Authors Jun Zhai, Yiduo Liang, Yi Yu, Jiatao Jiang
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