Mazilescu, Vasile (2008): An Intelligent Knowledge Management System from a Semantic Perspective. Published in: The Annals of the Dunarea de Jos University. , Vol. No. XI, No. Fascicle I. Economics and Applied Informatics, No. XIV, ISSN 1584-0409 (10. October 2008): pp. 37-46.
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Abstract. Knowledge Management Systems (KMS) are important tools by which organizations can better use information and, more importantly, manage knowledge. Unlike other strategies, knowledge management (KM) is difficult to define because it encompasses a range of concepts, management tasks, technologies, and organizational practices, all of which come under the umbrella of the information management. Semantic approaches allow easier and more efficient training, maintenance, and support knowledge. Current ICT markets are dominated by relational databases and document-centric information technologies, procedural algorithmic programming paradigms, and stack architecture. A key driver of global economic expansion in the coming decade is the build-out of broadband telecommunications and the deployment of intelligent services bundling. This paper introduces the main characteristics of an Intelligent Knowledge Management System as a multiagent system used in a Learning Control Problem (IKMSLCP), from a semantic perspective. We describe an intelligent KM framework, allowing the observer (a human agent) to learn from experience. This framework makes the system dynamic (flexible and adaptable) so it evolves, guaranteeing high levels of stability when performing his domain problem P. To capture by the agent who learn the control knowledge for solving a task-allocation problem, the control expert system uses at any time, an internal fuzzy knowledge model of the (business) process based on the last knowledge model.
|Item Type:||MPRA Paper|
|Original Title:||An Intelligent Knowledge Management System from a Semantic Perspective|
|Keywords:||knowledge management, fuzzy control, semantic technologies, computational intelligence|
|Subjects:||D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D81 - Criteria for Decision-Making under Risk and Uncertainty|
|Depositing User:||Vasile Mazilescu|
|Date Deposited:||14. Oct 2008 13:37|
|Last Modified:||13. Feb 2013 05:34|
1. Abdallah S. and V. Lesser - 2005 Modeling Task Allocation Using a Decision Theoretic Model. In Proc. AAMAS, pp. 719–726. ACM
2. Abecker A., Mentzas G., Stojanovic L. – 2006 Proceeding of the Workshop on Semantic Web for eGovernment 2006, Workshop at the 3rd European Semantic Web Conference, 12 June, Budva, Serbia
3. Bresnen, M., Edelman, L., Newel, S., Scarbrough, H., & Swan, J. - 2003 Social practices and the management of knowledge in project environments. International Journal of Project Management, 21, 157 – 166.
4. Cavaleri, S. and Seivert, S. -2005 Knowledge Leadership: The Art and Science of the Knowledge-Based Organization, Burlington, MA: Elsevier/Butterworth-Heinemann 5. Davenport, T.H., and Prusak, L. - 1998 Working knowledge: how organizations manage what they know, Boston: Harvard Business School Press
6. D. B. Leake, B. Smyth, D. C. Wilson, Q. Yang - 2001 “Special issue on maintaining case-based reasoning systems,” Computational Intelligence, 17(2), pp.193-195
7. Liebowitz, J. and Beckman, T. (in press) “Moving towards a knowledge management maturity model (K3M) for developing knowledge management strategy and implementation plans”, Advances in Management Information Systems, Special Research Monograph on KnowledgeManagement
8. Mattox, D., Maybury M., Morey D. - 1999 “Enterprise Expert and Knowledge Discovery,” in Proceedings of the International Conference on Human Computer Interface (HCI 99), 23-27th August, Munich, Germany
9. Mazilescu V. - 2003 The semantic Web paradigm for real-time agent control, The Annals of "Dunãrea de Uos" University of Galaţi, Fascicle I, Economics and Applied Informatics, Year VII, ISSN 1584-0409
10. McAdam, R., & McCreedy, S. - 1999 The process of knowledge management within organizations: a critical assessment of both theory and practice. Knowledge and Process Management, 6(2), 101-113.
11. Nonaka, I., & Takeuchi, H. - 1995 The knowledge creating company: How Japanese companies create the dynamics of innovation. New York: Oxford University Press.
12. R. M. Sreenath and M. P. Singh. - 2004 Agent-based service selection. Web Semantics, 1(3):261–279