Classification, search, and retrieval in a multi-variable, multi-level taxonomy: application to DecisionNet
Corgnati, Christopher M
Bhargava, Hemant K.
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The explosion of information available on global computer networks underlines the need for effective repositories that facilitate organization of, and search for, information. These digital repositories may contain simple data, or increasingly, objects of other types such as software and decision models. A taxonomy can be thought of as a navigational aid to a repository. Organization of objects may take place along multiple dimensions, each of which may have a taxonomy of classification terms that spans many levels. This thesis examines the design and development of a WWW based Classification, Registration, Search, and Retrieval System. The system was applied and tested on the DecisionNet project which is an electronic brokerage house for decision technologies. In order to facilitate user interaction via the WWW the system was designed to be run through a standard web browser. A graphical user interface was developed in Java. The back-end functions for data management, search and retrieval were also programmed largely in Java.
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