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Guest Editor's Introduction: Data Mining
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Design and Evaluation of a Knowledge Management System
IEEE Software
Knowledge Processes and Ontologies
IEEE Intelligent Systems
Better Knowledge Management through Knowledge Engineering
IEEE Intelligent Systems
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DEXA '97 Proceedings of the 8th International Workshop on Database and Expert Systems Applications
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Knowledge Management spans on three abstraction layers: the first one is concerned with organisations, the second one regards engineering practices, and the third one is about tools. The organisation level encloses concepts strongly tied with strategies and resources management; the engineering level regards processes, methods and heuristics, tested or empirically validated, that support effective processes design, management and enactment; the third level comprehends software tools for storing and operating with knowledge. Currently, a major concern is a gap between the first and the second level in order to properly exploit theory and to cope with the nowadays turmoil of the marketplace. In this paper we propose a map linking a significant set of selected theories in knowledge management with a set of appropriate engineering practices able to realise them; furthermore we wish to determine the components from the third layer that are effective in making the selected engineering practices working in real contexts.