Brown, Henry and Rouse, Colin and Kunene, Phumelelakhale and Potgieter, Anet and Berman, Sonia and April, Kurt (2003) Developing a Basis for Knowledge Management: A Bayesian Network Approach, CS03-14-00, Department of Computer Science, University of Cape Town.
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Abstract
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.
| Item Type: | Technical report |
|---|---|
| Uncontrolled Keywords: | Bayesian Networks, Knowledge Management, Knowledge transfer, Knowledge sharing |
| Subjects: | General and reference > Document types > General literature |
| Date Deposited: | 12 Oct 2003 |
| Last Modified: | 10 Oct 2019 15:36 |
| URI: | http://pubs.cs.uct.ac.za/id/eprint/76 |
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