The recent explosion of the itnernet has made digital libraries popular. The user-friendly interface of Web browsers allows a user much easier access to the digital library. However, to retrieve relevant documents from the digital library, the user is provided with a search interface consisting of one input field and one push button. Most users type in a single keyword, click the button, and hope for the best. The result of a query using this kind of search interface can consist of a large unordered set of documents, or a ranked list of documents based o nthe frequency of the keywords. Both lists can contain articles unrelated to user's inquiry unless a sophisticated search was performed and theu ser knows exactly what to look for. More sophisticated algorithms for ranking the relevance of search results may help, but what is desperately needed are software tools that can analyze the search result and manipulate large hierarchies of data graphically. In this paper, we present a language-independent document classification system for hte Florida Center for Library Automation to help users analyze the search query resutls. Easy access through the Web is provided, as well as a graphical user interface to display the classfication results.
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