Advertisement

A Personnel Centric Knowledge Management System

  • Baisakhi Chakraborty
  • Meghbartma Gautam
Part of the Communications in Computer and Information Science book series (CCIS, volume 40)

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.

Keywords

Knowledge Management System Personnel Knowledge Worker Tags Feedback Query Response 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
  2. 2.
  3. 3.
  4. 4.
    Nonaka, I., Takeuchi, H., Umemoto, K.: A theory of Organizational Knowledge Creation. Int. J. Technology Management, 833–845 (1996)Google Scholar
  5. 5.
    Knowledge creating process, SECI Model, http://www.allkm.com/km-basics/knowledge-process.php
  6. 6.
    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)Google Scholar
  7. 7.
    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)Google Scholar
  8. 8.
    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)Google Scholar
  9. 9.
    Deng, Z., Hu, X.: Discussion on Models and Services of Knowledge Management System. In: IEEE ISITAE 2007, pp. 114–118 (2007)Google Scholar
  10. 10.
    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)CrossRefGoogle Scholar
  11. 11.
    Kanai, A., Niwa, K.: Knowledge Management System Including Viewpoints as External Constraints. In: IEEE SMC 1999, Japan, vol. 4, pp. 147–152 (1999)Google Scholar
  12. 12.
    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)Google Scholar
  13. 13.
    Koanantakool, T.: Struggling Towards a Knowledge-based Society. In: International Symposium on Information Technology and Development Cooperation, Japan, pp. 1–9 (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Baisakhi Chakraborty
    • 1
  • Meghbartma Gautam
    • 1
  1. 1.National Institute of TechnologyDurgapurIndia

Personalised recommendations