¹Center for Studies of Information Resources, Wuhan University, Wuhan, China
²School of Information Management, Wuhan University, Wuhan, China
³School of Management, Hubei University of Technology, Wuhan, China

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Abstract—With the rapid development of e-commerce, online shopping has become an important part in people's lives, in order to support the smooth development of e-commerce activities, how to provide users with an efficient and practical product information search method has become an urgent and critical problem. This paper presents a framework for an ontology-based e-commerce product information retrieval system and proposes an ontology-based adaptation of the classical Vector Space Model with the consideration of the weight of product attribute. A computer and components related ontology has been built, which is adopted to annotate the html documents and construct concept vectors of the documents. Then the system test is done and the experimental result indicates that our proposal is better than the traditional keywords based search.

Index Terms—Information retrieval, Product information, E-commerce, Ontology.

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Cite: Liyi Zhang, Mingzhu Zhu, Wei Huang, "A Framework for an Ontology-based E-commerce Product Information Retrieval System," Journal of Computers vol. 4, no. 6, pp. 436-443, 2009.