UCT CS Research Document Archive

Developing a Basis for Knowledge Management: A Bayesian Network Approach

Brown, Henry, Colin Rouse, Phumelelakhale Kunene, Anet Potgieter, Sonia Berman and Kurt April (2003) Developing a Basis for Knowledge Management: A Bayesian Network Approach. Technical Report CS03-14-00, Department of Computer Science, University of Cape Town.

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Knowledge Management (KM) is an evolving field that attempts to maximise and sustain the competitive advantage of a company through leveraging its knowledge resources. KM practises are often built on a foundation of knowledge transfer and knowledge sharing. Recently there has been an increase on the reliance of automated tools to perform these functions. Typical components of these tools include: querying large datasets, user profiling, user interfaces and recommender systems. Traditionally, these components have been implemented using different technologies. This paper describes an approach to building these components using a flexible architecture based on Bayesian Network technology. Finally the paper considers some of the advantages to adopting the latter approach.

EPrint Type:Departmental Technical Report
Keywords:Bayesian Networks, Knowledge
Management, Knowledge transfer, Knowledge sharing
Subjects:A General Literature: A.0 GENERAL
ID Code:76
Deposited By:Brown, Henry
Deposited On:12 October 2003