Artificial intelligence (AI) support for knowledge management in construction

This study focus on the investigation of the opportunities on the application of established artificial intelligence (AI) tools and techniques for the elicitation and representation of knowledge. This has been achieved by initially reviewing the development of knowledge management and artificial int...

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Main Author:	Mohamed, Sarajul Fikri
Format:	Thesis
Published:	2002
Subjects:	TA Engineering (General) Civil engineering (General)
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id	my-utm-ep.4381
record_format	uketd_dc
spelling	my-utm-ep.43812011-01-23T05:34:10Z Artificial intelligence (AI) support for knowledge management in construction 2002-09 Mohamed, Sarajul Fikri TA Engineering (General). Civil engineering (General) This study focus on the investigation of the opportunities on the application of established artificial intelligence (AI) tools and techniques for the elicitation and representation of knowledge. This has been achieved by initially reviewing the development of knowledge management and artificial intelligence in general and also the context of construction industry. Case studies are used to show the situations of knowledge management systems in the construction organisations. From the results of the case studies and current researches, this report attempts to show the usefulness of deploying artificial intelligence tools and techniques in capturing and representation knowledge in the context of the construction industry. The study found protocol analysis and structure interview method are suitable to capture tacit knowledge (lessons learnt and best practices) in the construction organisations. In contrast, concept sorting method is appropriate tools to capture explicit knowledge. In the knowledge representation context, the combination of frames method and semantic network method are suitable to represent tacit knowledge (knowledge of people and processes). The Web-based technology also can be used to facilitate knowledge elicitation and representation in the construction organisations. In conclusion, all the above information are closely scrutinised and conclusions drawn that established artificial intelligence (AI) tools and techniques have significant effects in supporting end-users of knowledge management systems in construction industry context. 2002-09 Thesis http://eprints.utm.my/id/eprint/4381/ masters Loughborough University, Department of Civil and Building Engineering Department of Civil and Building Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) Mohamed, Sarajul Fikri Artificial intelligence (AI) support for knowledge management in construction
description	This study focus on the investigation of the opportunities on the application of established artificial intelligence (AI) tools and techniques for the elicitation and representation of knowledge. This has been achieved by initially reviewing the development of knowledge management and artificial intelligence in general and also the context of construction industry. Case studies are used to show the situations of knowledge management systems in the construction organisations. From the results of the case studies and current researches, this report attempts to show the usefulness of deploying artificial intelligence tools and techniques in capturing and representation knowledge in the context of the construction industry. The study found protocol analysis and structure interview method are suitable to capture tacit knowledge (lessons learnt and best practices) in the construction organisations. In contrast, concept sorting method is appropriate tools to capture explicit knowledge. In the knowledge representation context, the combination of frames method and semantic network method are suitable to represent tacit knowledge (knowledge of people and processes). The Web-based technology also can be used to facilitate knowledge elicitation and representation in the construction organisations. In conclusion, all the above information are closely scrutinised and conclusions drawn that established artificial intelligence (AI) tools and techniques have significant effects in supporting end-users of knowledge management systems in construction industry context.
format	Thesis
qualification_level	Master's degree
author	Mohamed, Sarajul Fikri
author_facet	Mohamed, Sarajul Fikri
author_sort	Mohamed, Sarajul Fikri
title	Artificial intelligence (AI) support for knowledge management in construction
title_short	Artificial intelligence (AI) support for knowledge management in construction
title_full	Artificial intelligence (AI) support for knowledge management in construction
title_fullStr	Artificial intelligence (AI) support for knowledge management in construction
title_full_unstemmed	Artificial intelligence (AI) support for knowledge management in construction
title_sort	artificial intelligence (ai) support for knowledge management in construction
granting_institution	Loughborough University, Department of Civil and Building Engineering
granting_department	Department of Civil and Building Engineering
publishDate	2002
_version_	1747814523360772096

Artificial intelligence (AI) support for knowledge management in construction

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