Artificial intelligence support for knowledge management in construction

The deployment of Artificial Intelligence (AI) tools and techniques to various problem domains in organisation has been steady since their introduction.On the other hand, knowledge management is an innovative approach which is increasingly seen as a source of competitive advantage.This study attemp...

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Main Authors: Mohamed, Sarajul Fikri, Zaibon, Syamsul Bahrin
Format: Conference or Workshop Item
Language:English
Published: 2004
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Online Access:http://repo.uum.edu.my/13901/1/KM172.pdf
http://repo.uum.edu.my/13901/
http://www.kmice.cms.net.my
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spelling my.uum.repo.139012015-05-12T02:29:53Z http://repo.uum.edu.my/13901/ Artificial intelligence support for knowledge management in construction Mohamed, Sarajul Fikri Zaibon, Syamsul Bahrin T Technology (General) The deployment of Artificial Intelligence (AI) tools and techniques to various problem domains in organisation has been steady since their introduction.On the other hand, knowledge management is an innovative approach which is increasingly seen as a source of competitive advantage.This study attempts to investigate the use of established and proven AI tools and techniques in supporting end-users of knowledge management systems through more efficient elicitation and representation of corporate knowledge.Case studies are used to show the situations of knowledge management systems in the construction organisations.From the results of the case studies, this paper attempts to show the usefulness of deploying AI tools and techniques in capturing and representation knowledge in the context of the construction industry. 2004-02-14 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/13901/1/KM172.pdf Mohamed, Sarajul Fikri and Zaibon, Syamsul Bahrin (2004) Artificial intelligence support for knowledge management in construction. In: Knowledge Management International Conference and Exhibition 2004 (KMICE 2004), 14-15 February 2004, Evergreen Laurel Hotel, Penang. http://www.kmice.cms.net.my
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Mohamed, Sarajul Fikri
Zaibon, Syamsul Bahrin
Artificial intelligence support for knowledge management in construction
description The deployment of Artificial Intelligence (AI) tools and techniques to various problem domains in organisation has been steady since their introduction.On the other hand, knowledge management is an innovative approach which is increasingly seen as a source of competitive advantage.This study attempts to investigate the use of established and proven AI tools and techniques in supporting end-users of knowledge management systems through more efficient elicitation and representation of corporate knowledge.Case studies are used to show the situations of knowledge management systems in the construction organisations.From the results of the case studies, this paper attempts to show the usefulness of deploying AI tools and techniques in capturing and representation knowledge in the context of the construction industry.
format Conference or Workshop Item
author Mohamed, Sarajul Fikri
Zaibon, Syamsul Bahrin
author_facet Mohamed, Sarajul Fikri
Zaibon, Syamsul Bahrin
author_sort Mohamed, Sarajul Fikri
title Artificial intelligence support for knowledge management in construction
title_short Artificial intelligence support for knowledge management in construction
title_full Artificial intelligence support for knowledge management in construction
title_fullStr Artificial intelligence support for knowledge management in construction
title_full_unstemmed Artificial intelligence support for knowledge management in construction
title_sort artificial intelligence support for knowledge management in construction
publishDate 2004
url http://repo.uum.edu.my/13901/1/KM172.pdf
http://repo.uum.edu.my/13901/
http://www.kmice.cms.net.my
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score 13.160551