Open Access Open Access  Restricted Access Subscription or Fee Access

Knowledge Management System Architecture for Industrial Applications Using Web Mining Techniques

G. Marimuthu, Dr. Antony Selvadoss Thanamani


Knowledge Management System refers to a system for managing knowledge in organizations, supporting creation, capture, storage and dissemination of information. It can comprise a part of a knowledge Management initiative. Knowledge Management can be regarded as a form of representation at the results of action and reflection in Explicit form Since the concept of the Industry cluster was popularized by Porter in 1990, many countries try to improve the competitiveness through Industry sector. Not only companies who take part in the cluster but also academic institutes, government agencies, associations and supportive industries. The more actors involved in the cluster the more knowledge were distributed among member of cluster. Although many literatures about cluster explained how knowledge is important for the cluster development. But, there is no specific knowledge management methodology or system for the cluster. This study is concerned about knowledge exchange in the cluster by using knowledge engineering methodology to analyze, model and design Knowledge Management System (KMS). At the end of this study, KMS will be studied the possibilities of implementing in the handicraft cluster as our case study. This paper present methodology and primary result form knowledge engineering. Then the KMS architecture was proposed as the result of the preliminary study in this paper.


Knowledge Management, Architecture, Web Mining, Industry Cluster

Full Text:



M.E.Porter, “Competitive Advantage of Nations”, NewYork: Free Press, 2005.

A.Malmberg, D.Power, “(How) do (firms in) cluster create knowledge?” in DRUID Summer Conference 2003 on creating, sharing and transferring knowledge, Copenhagen,June 12-14-2006.

dti, “A Practical guide to cluster development”, Report to Department of Trade and Industry and the English RDAs by Ecotec Research and Consulting 2005.

M.E. Jennex, L. Olfmann, “Organizational memory/knowledge effects on productivity, a longtitudinal study”, proceedings of the35th Hawali International Conference on System Sciences, HICSS35, IEEE Computer Society, 2005.

A. Tiwaana, The Knowledge Management toolkit. Upper Saddle River, NJ:Prentice Hall, 2005.

S. Preston, C. Chapman “Knowledge acquisition for Knowledge –based engineering system”, Int. J. Information Technology and Management, Vol 4, no. 1, 2005.

“Cluster mapping project” Final report to national Economic and social Development Board (NESDB), 2006.

Jennex, M. and L. Olfman, Assessing Knowledge Management Success. International Journal of knowledge management, 2005 1(2): p. 33-49.

Jennex, M. and L. Olfman, A Model of Knowledge Management Success. International Journal of Knowledge Management, 2006 2(3): p. 51-69.

S. Dzeroski and H. Blockeel. “Workshop on Multi Relational Data Mining”, 2006.


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.