A semantic query approach to personalized e-catalogs service system

  • Authors:

  • Donglin Chen;Xiaofei Li;Yueling Liang;Jun Zhang

  • Affiliations:

  • Wuhan University of Technology, Institute of E-business;Wuhan University of Technology, Institute of E-business;Wuhan University of Technology, Institute of E-business;Wuhan University of Technology, Institute of E-business

  • Venue:
  • Journal of Theoretical and Applied Electronic Commerce Research
  • Year:
  • 2010

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Abstract

With the emergence of the e-Catalog, there has been an increasingly wide application of commodities query in distributed environment in the field of e-commerce. But e-Catalog is often autonomous and heterogeneous, effectively integrating and querying them is a delicate and time-consuming task. Electronic catalog contains rich semantics associated with products, and serves as a challenging domain for ontology application. Ontology is concerned with the nature and relations of being. It can play a crucial role in e-commerce as a formalization of e-Catalog. User personalized catalog ontology aims at capturing the users' interests in a working domain, which forms the basis of providing personalized e-Catalog services. In this paper, we present an ontological model of e-Catalogs, and design a semantic personalized e-Catalog service system (SPECSS), which achieves match user personalized catalog ontology (UPCO) and domain e-Catalog ontology (DECO) based on ontology integrated and focus on four key technologies: user personalized catalog ontology generation, domain and local e-Catalog construction, semantic match between them and e-Catalog semantic query system based on heterogeneous catalog database.