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Full Text Indexing Technology Applying To Web Pages
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Abstract

The purpose of this thesis is to improve IBM's Storage And Information Retrieval System(STAIRS) and use the modified theory (Full Text Indexing Technology) to design a full-text-index search engine on the Internet. The design and implementation of the Full Text Indexing Technology (FTIT) can help people to efficiently search for useful information on the huge Internet.
The FTIT search engine consists of the spider, the database, and the search tool. The spider, which delves and retrieves the web content from the Internet, stores all of the valid tokens to a database of the FTIT search engine. The database, which is a kind of knowledge base database, collects a great deal of information about valid tokens such as the name of valid tokens, the attributes of valid tokens, and the addresses of home pages. The search tool, which is a search utility, looks for information in the database of the FTIT search engine and reports the result of the searching task to users via CGI.

In order to achieve the purpose of explaining the function of FTIT, the thesis will use Visual C++, standard Common Gateway Interface, Hypertext Markup Language, and Windows NT network to demonstrate.
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