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...
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my.uum.repo.110192015-05-25T02:05:21Z http://repo.uum.edu.my/11019/ Multi-agent reputation point system framework Ismail, Shahrinaz Ahmad, Mohd Sharifuddin HD28 Management. Industrial Management 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 fulfill the need of connecting to knowledge experts in managing personal knowledge. Recommendation on future work includes the technical possibility of expanding this multi-agent system to be implemented in the Semantic Web. 2012-07-04 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/11019/1/CR150.pdf Ismail, Shahrinaz and Ahmad, Mohd Sharifuddin (2012) Multi-agent reputation point system framework. In: Knowledge Management International Conference (KMICe) 2012, 4 – 6 July 2012, Johor Bahru, Malaysia. http://www.kmice.uum.edu.my |
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HD28 Management. Industrial Management Ismail, Shahrinaz Ahmad, Mohd Sharifuddin Multi-agent reputation point system framework |
description |
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 fulfill the need of connecting to knowledge experts in managing personal knowledge. Recommendation on future work includes the technical possibility of
expanding this multi-agent system to be
implemented in the Semantic Web. |
format |
Conference or Workshop Item |
author |
Ismail, Shahrinaz Ahmad, Mohd Sharifuddin |
author_facet |
Ismail, Shahrinaz Ahmad, Mohd Sharifuddin |
author_sort |
Ismail, Shahrinaz |
title |
Multi-agent reputation point system framework |
title_short |
Multi-agent reputation point system framework |
title_full |
Multi-agent reputation point system framework |
title_fullStr |
Multi-agent reputation point system framework |
title_full_unstemmed |
Multi-agent reputation point system framework |
title_sort |
multi-agent reputation point system framework |
publishDate |
2012 |
url |
http://repo.uum.edu.my/11019/1/CR150.pdf http://repo.uum.edu.my/11019/ http://www.kmice.uum.edu.my |
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1644280525511196672 |
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13.160551 |