A semantic query approach to personalized e-Catalogs service system
Journal of Theoretical and Applied Electronic Commerce Research
A semantic query approach to personalized e-Catalogs service system 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
... . 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. As to semantic query issue of e-Catalog throughout e-commerce scenarios, much work has been done in the stages of semantic query based on e-Catalog, including e-Catalog standardization and integration, personalized catalog service research and e-Catalog ontology design. E-Catalog Classification Standards Construction e-Catalog is based on product classification standards. The Chinese Standardization Research Institute implements general product classification standard based on XML  . Some of these XML standards are compared by Li , who discusses seven different product description standards used in e-commerce scenarios, their complexity and potential integration problems, but only on the basis of very simple metrics. International product classification standards-UNSPSC, eCl@ss, RosettaNet, EGAS, NCS, etc-have established a comprehensive classification level .  Presents a practical model for eCl@ss and touches upon the practical issues for classification schemes. These classification standards are different with each other in structure and content, and lack semantic service ability as well. 1. There are many related concepts of e-Catalog, such as Product Catalogue, Electronic Product Catalog, Products and Services Catalog, and Product Classification; 2. Lack of effective integration between the standards, and customers must have certain professional knowledge about international catalog standards in order to search the most relevant results; 3. The product classification was assumed to be the simple code-based hierarchical model such as UNSPSC or eCl@ss. Researches in recent years show that applying ontology to e-commerce scenarios would bring benefits such as solving the interoperability problems between different e-commerce systems -  . Especially, e-Catalog, which is a key component of e-commerce systems, seems to be the most adequate domain within e-commerce scenarios where ontology can realize the expression of e-Catalog on a semantic level. It is possible for e-business systems to offer diverse interoperable services by sharing well-defined e-Catalog model containing rich semantics. Fensel  described in principle how ontologies can support the integration of heterogeneous and distributed information in ecommerce scenarios which is mainly based on product catalogs, and what tasks are needed to be mastered. E-Catalog ontology model is defined as ECO (concepts, relationship, properties, axioms and individuals). At present, there are two methods to build ECO: Construction, and semantic match algorithm. In addition, we propose a system named SPECSS for customers and introduce each layer and module of it, especially Query Generation Module. In the end, we implement SPECSS system and have five user take experiment in order to evaluate its performance. In future work, we will focus on: (1) automatically learn e-Catalog ontological concepts, properties and relationship from web to build UPCO; (2) add business properties besides general properties to DECO; (3) construct the Reasoning and Expending Module of SPECSS, to set rules onto DECO; and (4) extend SPECSS system to web information search, not only heterogeneous catalog databases.