| Summary: | 碩士 === 國立中正大學 === 電機工程研究所 === 92 === With the huge amount of information available on the World Wide Web, Web servers provide a fertile ground for information searches. The Problem that knowledge workers face today is not lack of information any more. Instead, they are in the situation of information overload. People can not quickly and efficiently find out the wanted information among such huge data. Therefore a lots of information technology were still on developed. The traditionally search technology is by understanding the document experts assign specific categories to the document. However, it wastes a lot of resources and has no economic benefits. Therefore, an new automatic text classifier which can help classification process is demand. Inform ion retrieval is aimed at retrieving information that might be useful or relevant to the user.
In this paper we research the mutual semantic relationship between terms via term concept. We collect Chinese synonyms for building a synonyms thesaurus, and make use of automatic text classifier subsystem. Keyword constructs a conceptual space or knowledge space by using semantic matrices. Through the idea of conceptual space and semantic network, we expect that traditional information retrieval will be evolved into knowledge retrieval. We apply structure information from XML structure in database.
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