Ecommerce Semantic System Study

Rapid development of global information causes information resources created in the various applications fields to develop rapidly. Explosive development of e-commerce provides sufficient products information and convenient way to shop, but also makes people drown in the ocean of information goods, which leads to difficulty to choose the proper products. This information takes many forms, and lacks unity of descriptive way, which makes users have difficulty in finding out information which he requires.Semantic technology is the most popular technology in modern World Wide Web, and represents the developing direction of next generation World Wide Web technology. The development of semantic technology provides a new way which can solve problems of searching and managing of e-commerce difficult questions. Ontology is a clear formal and standard specification of sharing conceptual model. OWL is the Web Ontology Language recommended by the W3C, and it is on the basis of descriptive logic, and can make effective description of ontology, and it is an effective means which can express in conceptual way the large number of non-normative knowledge under the network environment.This paper puts forward Ecommerce Ontology based on OWL and the corresponding developing process and methods, and develops Ontology with "computer sales" as the core. The paper also puts forward matching algorithm of the concept of the ontology, the semantic distance and relevant algorithm of based on the domain ontology, and the semantic relevance searching methods. These methods effectively improve the using efficiency of e-commerce. Finally, this paper describes application model of ontology based J2EE architecture in e-commerce and achieving methods of e- commerce semantic system framework.