Study of Web Information Extraction and Classification Method

In the vast information on the Internet, it is now the key problem that how to download information we need most quickly and expediently, to keep the information in database, and organize it for intending usage. Nowadays, searching engine aims at the different needs of different customers, providing an individualization service, for checking the rate of comprehensions rather than the rate of accuracy. If making it by manual duplicate and stick, we can imagine how the efficiency and cost would be. However, Web information extraction and classification aim to resolve this problem. In this paper, it is discussed that a method how to complete to follow the appointed Web site or Web page according to the user´s request using the technique of ASP, carry on analysis, comparison, sample, and data storage, extract to obtain the information we need from the Web, and organize organically the information adopting classification technique with the Web page contents to provide for later use.