Study And Implementation Of Information Extraction And Publication Under Environment Of Web2.0

The Internet search engine has put into large application in the past several years. Almost everyone uses it. With the rapid development of Internet and explosive growth of Web information, Search engine personalization will be one of the most significant characters for search engines and it must be an inevitable trend in the near future. it is always the field that many elites concentrate up on. With personalized vertical search engine, individual will get personal results by the same search codes.This paper aims to illustrate the way to build Web 2.0 services platform on the LAMP platform by using a variety of technologies and languages and achieve information screening as per different customer's purposes through learning customer's interests and behavior by collecting and analyzing user's information. By using Spider crawling automatic page technology and Chinese word segmentation techniques, Web text mining prototype is designed. It does benefits for the exploit of the Web mining system. A personalized search system with the features of web2.0, which based on agriculture business, has been constructed. The system has user-friendly interface, through the data dictionary and regular expressions to filter or remove content, the network capture direction can be decided.This thesis explains the construction of the personalized vertical search engine for agriculture. The search engine has made great effects in practical operation and provided an excellent search service for agricultural users in Xinjiang.