Community Organization In P2P E-commerce Platform Based On Ontology

It does not need centralizing server in e-commerce platform that is based on P2P technology that makes conveniently for the information inter-communion, and also the users in the platform will be easy to control their safety and privacy. Relative to centralizing e-commerce mode, it does not need much investment and the form is agility in P2P e-commerce, so It will satisfy the net development more easily for these characteristics. The peculiarity of decentralization in P2P system solves many main problems such as single node invalidation, high cost and so on, that are confronted in C/S model. Meanwhile, due to the use of P2P technology we have to face many problems such as the standardization and consistency of information denotation, information search, safety and trust mechanism, management model and so on. Two of these problems are how to denote e-commerce data and how to search needed information effectively. This paper solves the two problems.Firstly, this paper adopts ontology which can describe knowledge in semantic level as concepts modeling tool. The tool solves the problem of abundance of commodity information organized disorderedly and forms sharing concepts model.Secondly, as ontology supports both the well concept hierarchical structure and logical reasoning function, this paper introduces concepts matching algorithm, when a user brings forward a search request, the system will deal with the request and returns a set of same or similar information. This breaks through traditional search technology that is based on key words. The set of information represents the user's search motive.How to get relevant users to communicate according to the user's search motive? This paper introduces an effective solution about the Gordian knot of question. Also based on the ontology characteristic, the paper holds out the strategy of forming user community in P2P e-commerce platform. When a user brings forward a query request, the system firstly makes the user orient the largest correlated community so that the search efficiency and accuracy are promoted greatly. As a result, the user gets satisfied results.