为解决同类电子商务中的信息异构等问题,研究并实现了一种基于信息抽取的电子商务信息共享联盟系统。给出了该系统的系统组织模型,各个功能模块,信息抽取关键算法以及运行流程。该系统通过异构网页挖掘进行信息整合,采用贝叶斯算法进行按需信息抽取。仿真证明该系统具有较高的信息自动处理性能和较好的客户需求匹配度。
In order to deal with the series problems of information heterologies in E-commerce sites,a novel union system is proposed and researched based on information fusion and extraction.The system model,some function modules,key algorithms and work flows are presented in this paper.And the system utilizes web mining to deal with information island problems and uses Bayes algorithm to extract web information to match the clients' requests.Simulation results show that the system has better performance in the information processing and the client's satisfaction than the traditional one.