The Study And Implemention Of Some Key Technologies In Search Engine System Based On Classification Semantics

The introduction of web search engine has brought a lot of unprecedented business opportunities to the Internet information service, leading to the intelligent Internet information service. A search engine enables us to have access to large number of Internet information. However, the information generally consists of isolated pieces in different categories. Every piece of information represents certain field. Therefore, many researchers are exploring how to incorporate the appreciation service of semantic classification into the existing search engine service to improve the searching functions.In this paper, a new application mode is proposed by combining different search engine services to provide the appreciation service. In other words, a search engine system is designed, based on the combination of search engine service, data analyse techniques and the semantic classification techniques. As an important mechanism to search engine services, the technique to semantically classify the WWW information is the key to creat a more powerful search engine service.The research is focused on studying the control mechanism of the WEB information search engine service based on the semantic classification. Problems related to the execution and optimization mechanism of the database system are discussed in the study. The strategies, to implement the systematic structure, the execution and optimization of the database system and the functional module of displaying the search results, are interpreted in details. The proposed WWW information search engine service based on semantic classification is a meaningful try for us to achieve intelligentized information integration.