Design And Study Of Personalized Web Mining System Based On Natural Language Understanding

The rapid growth of the World-Wide Web poses unprecedented scaling challenges for general-purpose crawlers and search engines. The combine of data mining and Web is needed to solve the problems.In this paper, a model of Web mining based on Natural Language Understanding is proposed which can customize personalized Web mining system to meet the needs of a particular user. The originality of this model enumerate as follows:1)The mining is based on the results of some popular search engines. This leads to significant savings in hardware and network resources.2)Only the typical sentences and the sentences including keywords need to be semantic analysed.3)The semantic analyse can cut down the mis-judge of the results and can improve the dependability of the system.4)Interaction of Human-Machine is used to interfere and revise in each model.