Multi-Agent Reputation Point System Framework
An interview survey was conducted on respondents from service, manufacturing and education industries in Malaysia, to understand the processes of personal knowledge management (PKM) among knowledge workers. The findings show that personal knowledge network is enhanced when recommendations from as...
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2012
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| Online Access: | http://ir.unikl.edu.my/jspui/handle/123456789/1071 |
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| Summary: | An interview survey was conducted on respondents from service, manufacturing and education industries
in Malaysia, to understand the processes of personal knowledge management (PKM) among knowledge
workers. The findings show that personal knowledge network is enhanced when recommendations from
associates outside the organisation are relied upon to identify the required knowledge experts. Thus the
reputation of knowledge experts is known by some people in the network since it is the basis for assessing
and deciding the reliability of the expertise required. This paper proposes a framework for a multi-agent
system to search an existing network, analyse and manage reputation points in the process of identifying
knowledge experts to fulfil the need of connecting to knowledge experts in managing personal
knowledge. Recommendation on future work includes the technical possibility of expanding this multiagent
system to be implemented in the Semantic Web. |
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