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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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Main Authors: Shahrinaz Ismail, Mohd Sharifuddin Ahmad
Format:
Published: 2012
Subjects:
Multi-agent system
Reputation point
Personal knowledge management
Personal knowledge network
Online Access:http://ir.unikl.edu.my/jspui/handle/123456789/1071
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id my.unikl.ir-1071
record_format eprints
spelling my.unikl.ir-10712012-07-12T06:33:51Z Multi-Agent Reputation Point System Framework Shahrinaz Ismail Mohd Sharifuddin Ahmad Multi-agent system Reputation point Personal knowledge management Personal knowledge network 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. 2012-07-12T06:33:51Z 2012-07-12T06:33:51Z 2012-07-12 http://ir.unikl.edu.my/jspui/handle/123456789/1071
institution Universiti Kuala Lumpur
building UniKL Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kuala Lumpur
content_source UniKL Institutional Repository
url_provider http://ir.unikl.edu.my/
topic Multi-agent system
Reputation point
Personal knowledge management
Personal knowledge network
spellingShingle Multi-agent system
Reputation point
Personal knowledge management
Personal knowledge network
Shahrinaz Ismail
Mohd Sharifuddin Ahmad
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 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.
format
author Shahrinaz Ismail
Mohd Sharifuddin Ahmad
author_facet Shahrinaz Ismail
Mohd Sharifuddin Ahmad
author_sort Shahrinaz Ismail
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://ir.unikl.edu.my/jspui/handle/123456789/1071
_version_ 1644484529433346048
score 13.222552

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