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.
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|
|Deposited By:||Brown, Henry|
|Deposited On:||12 October 2003|