Web Information Retrieval System Based On Classification Semantics

As the quantity of information resources on WWW increases rapidly, it becomes more and more important that how to fast and accurately obtain the web information what users need among magnanimity data space. This paper designs and implements a Web Information Retrieval System which is based on Classification Semantics—SECS. This system automatically constructs the classification structure of web information. The search result can be classified into groups and displayed hierarchically by Web Information Extraction Mechanism and Web Information Automatic Classification.Firstly, this paper discusses the releated background and research basis of Web Information Retrieval. Secondly, this thesis brings forward a new web information automaticclassification method-----classified automaticly by the location of information in thewebstation; Design and implement a Web Information Retrieval System -SECS; The search result can be classified into groups and displayed hierarchically by Web Information Extraction Mechanism and Web Information Automatic Classification.Finally, achieve the retrieval result displayed hierarchically.To realize the SECS system, Java and dynamic Web technology is applied on test. The system is based Window Operation System, with Tomcat5 as JSP/Serlvet and SQL Server as DataBase Server.