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Abstract:

Knowledge management in enterprises often reduces to the application of a single data base with technical or personal data in order to produce some useful information for a certain task. However, analyzing the requirements of problems CEOs have when they like to apply knowledge management as a technology leads to the fact that the terms data, information and knowledge are used synonymously, that there is usually more than one source from which the “useful information ” is extracted, and that there is no architectural structure which may be used to describe neither the requirements nor the realization of the problem. A generic architecture will be presented which is based on the semiotic paradigm of information theory. The formal framework allows an adaptation of the architecture to special realizations and as such it covers standard information systems and data base application systems. The architecture will be the kernel the metaphorical description of a knowledge factory an may be enhanced with a collection of helpful software agents. DATA, INFORMATION, AND KNOWLEDGE “Knowledge management is not a product in itself, nor a solution that organizations can buy off-the-shelf or assemble from various components. It is a process implemented over a period of time, which has as much to do with human relationships as it does with business

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