E-commerce Union System Based on Information Extraction
In order to deal with a series of problems of information heterogeneity in E-commerce, a novel union system of information sharing is proposed and researched based on information fusion and extraction. This article presents the organization model, function modules, key algorithms and running flows of the system. And the system utilizes heterogeneous web mining to deal with information integration problems and uses Bayes algorithm to extract web information according to clients requests. Simulation results show that the system possesses better performance of automatic processing for information and clients satisfaction than the traditional does.
Information Sharing Union E-commerce Information Extraction Information Integration
Long-jiang Tan
College of information,Southwestern University of Finance and Economics,Chengdu 610074 College of Economics & Finance,HuaQiao University,Quanzhou 362021,China
国际会议
太原
英文
466-468
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）