Brezany, Peter, Goscinski, Andrzej, Janciak, Ivan and Tjoa, A. Min 2004, The development of a wisdom autonomic grid, in Proceedings of the 2nd International Workshop on Knowledge Grid and Grid Intelligence, collaboration with Beijing University of Technology by Saint Mary's University, Halifax, N.S, pp. 19-33.
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Proceedings of the 2nd International Workshop on Knowledge Grid and Grid Intelligence
Liu, Jie Zhuge, Hai Cheung, William K.
collaboration with Beijing University of Technology by Saint Mary's University
Place of publication
It is not a simple matter to develop an integrative approach that exploits synergies between knowledge management and knowledge discovery in order to monitor and manage the full lifecycle of knowledge and provides services quickly, reliably and securely. One of the main problems is the heterogeneity of the involved resources that represent knowledge. Data mining systems produce knowledge in a form meant to be understandable to machines and on the other hand in knowledge management systems the priority is placed on the readability and usability of knowledge by humans. The Semantic Web is a promising platform to unify this heterogeneity and, in conjunction with novel techniques for Web Intelligence it could offer more then just knowledge - wisdom. The Wisdom Autonomic Grid is an original proposal of a knowledge based Grid that is able to configure and reconfigure itself under varying and unpredictable conditions and optimize its working, performs something akin to healing and provides self-protection, as visioned in the IBM Autonomic Computing initiative. This paper presents an original framework for creating advanced applications to integrate knowledge discovery and knowledge management in the Autonomic Grid and Web environments.