Abstract
A Knowledge Management System (KMS) is designed to serve as an effective tool for the proper extraction, utilization and dissemination of knowledge. Traditional KMS models incur cost overhead on the extraction of tacit knowledge and conversion to explicit knowledge. The proposed model in this paper takes the concept of mining the tacit knowledge and using it in the KMS instead of following conventional KMS norms. Through interactions and socialization of the personnel participating in the system, the tacit knowledge is extracted, converted to explicit knowledge and preserved in the Knowledge Management System through proper maintenance of knowledge repository. Our model is based on the technology that encourages active participation and sharing of tacit knowledge through interactions of individuals in the knowledge environment. The model builds a database of queries based on user feedback and the database is enhanced and maintained through creation of tags that makes the KMS dynamic and easily maintainable.
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References
Knowledge Management System, http://en.wikipedia.org/wiki/knowledge_management_System
KM System, http://www.allkm.com/
Knowledge Management, http://en.wikipedia.org/wiki/knowledge_management
Nonaka, I., Takeuchi, H., Umemoto, K.: A theory of Organizational Knowledge Creation. Int. J. Technology Management, 833–845 (1996)
Knowledge creating process, SECI Model, http://www.allkm.com/km-basics/knowledge-process.php
Majid, A.H.M., Lee, S.P., Salwah, S.: An Ontology-based Knowledge Model for Software Experience Management. Int. J. of the Computer, the Internet and Management 14(3), 79–88 (2006)
Soto, J.P., Vizcaino, A., Portillo-Rodriguez, J., Piattini, M.: Agents that Help to Detect Trustworthy Knowledge Sources in Knowledge Management Systems. In: ICSOFT/ENASE 2007, CCIS, vol. 22, pp. 297–309. Springer, Heidelberg (2008)
Li, J.: Sharing Knowledge and Creating Knowledge in Organizations: The Modelling, Implementation, Discussion and Recommendations of Weblog-based Knowledge Management. In: IEEE International Conference on Service Systems and Service Management, pp. 1–6 (2007)
Deng, Z., Hu, X.: Discussion on Models and Services of Knowledge Management System. In: IEEE ISITAE 2007, pp. 114–118 (2007)
Wang, C., Leong, T.: Knowledge Based Formulation of Dynamic Decision Models. In: Lee, H.-Y. (ed.) PRICAI 1998. LNCS, vol. 1531, pp. 506–517. Springer, Heidelberg (1998)
Kanai, A., Niwa, K.: Knowledge Management System Including Viewpoints as External Constraints. In: IEEE SMC 1999, Japan, vol. 4, pp. 147–152 (1999)
Misra, D.C.: Ten Guiding Principles for Knowledge Management in E-government in Developing Countries. In: First international Conference on Knowledge Management for Productivity and Competitiveness, New Delhi, pp. 1–13 (2007)
Koanantakool, T.: Struggling Towards a Knowledge-based Society. In: International Symposium on Information Technology and Development Cooperation, Japan, pp. 1–9 (2000)
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Chakraborty, B., Gautam, M. (2009). A Personnel Centric Knowledge Management System. In: Ranka, S., et al. Contemporary Computing. IC3 2009. Communications in Computer and Information Science, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03547-0_25
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DOI: https://doi.org/10.1007/978-3-642-03547-0_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03546-3
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