Research On The Optimization Techniques Of Web Information Searching And Application Design

As the developing of information technique, the information resources in the Web are increasing with the never-heard speed. Faced with this huge information ocean, users are always overwhelming when searching information on the Web. Because of the convenience and shortcut, search engine has become a main tool for information searching.Firstly, as to the shortages of traditional search engine in the precision, recall and convenience, the author has carefully analyzed the search method and the basal structure of Web information searching system, and then completed the following tasks:To enhance the performance of search engine, the author has categorized the Web resources in three types: Web page resource, multimedia resource and Web site resource. And then present the XML documents of the three types of resource's metadata based on the RDF metadata standard that has supplied by W3C, and introduced its auto-generating method. Storing resource's information using metadata instead of resource itself has decreased the quantity of data in the database, has provided more convenience in information searching, and has supported the searching for multiform resources.Because of the limit in structure and data storage, common search engine cannot solve the problems in data collection, data storage, information searching and sorting of searching result. To improve common search engine in structure, the author has designed the structure of search engine based on the RDF metadata.Common search engine gathered information using centralized method. Centralized information gathering isn't good as distributed information gathering in speed and performance. In the paper, the author has introduced the decentralized information gathering method used in the search engine based on the RDF metadata. The distributed information gathering method combines with resource metadata technique could lighten the burden on the network.The author observed and analyzed the using pattern that a great deal of users search information by search engine, and then presented a new search pattern based on keyword extension and the extension method of keyword based on the metadata database, designed the interface of this search engine. This search pattern is more suitable for users' habits, can lead users to bring forward those requirements for information searching precisely and completely.Moreover, in the current Web application development, information is organized mainly with Web pages. This method not only is low efficiency when developing Web application but also needs large task when maintain the application. As to the problems in the Web application development, the author has proposed a block-based design for Web page. This technique can organize and maintain information more efficiently, and then improve the efficiency of Web application development. When browsing Web page, it can improve the performance of browsing that making important part of Web page to appear as early as possibleThis paper analyzed the problem in browsing of complicated Web pages, and then presented a new idea that organize Web page in multi-pattern, introduced the technique for browsing a web page based on multi-pattern. This technique can higher the browsing speed greatly, and can reduce the transfer time of Web page.As to enhancing the Web's performance and optimizing the information searching, the tasks of study in the paper are meaningful and valuable in some degree.