Cyclic multi-tiers knowledge management model in RAINS

Much research on the rain harvesting has been undertaken by experts such as architects and engineers. The emphases are on the required materials, installation of appropriate equipments, techniques of capturing rain water and other issues that lead to the environmental studies. Computers are only for...

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Published in:Proceedings - International Symposium on Information Technology 2008, ITSim
Main Author: Musa N.; Salleh S.S.; Abidin S.Z.Z.
Format: Conference paper
Language:English
Published: 2008
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-57349156733&doi=10.1109%2fITSIM.2008.4631706&partnerID=40&md5=f11074b70553a4941889e1b9ef2127d9
id 2-s2.0-57349156733
spelling 2-s2.0-57349156733
Musa N.; Salleh S.S.; Abidin S.Z.Z.
Cyclic multi-tiers knowledge management model in RAINS
2008
Proceedings - International Symposium on Information Technology 2008, ITSim
2

10.1109/ITSIM.2008.4631706
https://www.scopus.com/inward/record.uri?eid=2-s2.0-57349156733&doi=10.1109%2fITSIM.2008.4631706&partnerID=40&md5=f11074b70553a4941889e1b9ef2127d9
Much research on the rain harvesting has been undertaken by experts such as architects and engineers. The emphases are on the required materials, installation of appropriate equipments, techniques of capturing rain water and other issues that lead to the environmental studies. Computers are only for certain calculations or simulations using common software packages. The lack of comprehensive use on computerized system to assist the rain harvesting research and implementation has lead to this study. We propose a model for knowledge management methods in developing a comprehensive prototype software application, called RAINS that simulates appropriate knowledge on rain harvesting and acts as an intelligent decision tool. It begins with knowledge acquisition, followed by knowledge manipulation and processing, and ends with knowledge delivery. The major strength of this model is on the idea of composing and blending different types of expert's knowledge in a form of cyclic and multi-tiers structure. This model is not only for rain harvesting system development, but also applicable in other knowledge acquisition domains and cases. © 2008 IEEE.


English
Conference paper

author Musa N.; Salleh S.S.; Abidin S.Z.Z.
spellingShingle Musa N.; Salleh S.S.; Abidin S.Z.Z.
Cyclic multi-tiers knowledge management model in RAINS
author_facet Musa N.; Salleh S.S.; Abidin S.Z.Z.
author_sort Musa N.; Salleh S.S.; Abidin S.Z.Z.
title Cyclic multi-tiers knowledge management model in RAINS
title_short Cyclic multi-tiers knowledge management model in RAINS
title_full Cyclic multi-tiers knowledge management model in RAINS
title_fullStr Cyclic multi-tiers knowledge management model in RAINS
title_full_unstemmed Cyclic multi-tiers knowledge management model in RAINS
title_sort Cyclic multi-tiers knowledge management model in RAINS
publishDate 2008
container_title Proceedings - International Symposium on Information Technology 2008, ITSim
container_volume 2
container_issue
doi_str_mv 10.1109/ITSIM.2008.4631706
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-57349156733&doi=10.1109%2fITSIM.2008.4631706&partnerID=40&md5=f11074b70553a4941889e1b9ef2127d9
description Much research on the rain harvesting has been undertaken by experts such as architects and engineers. The emphases are on the required materials, installation of appropriate equipments, techniques of capturing rain water and other issues that lead to the environmental studies. Computers are only for certain calculations or simulations using common software packages. The lack of comprehensive use on computerized system to assist the rain harvesting research and implementation has lead to this study. We propose a model for knowledge management methods in developing a comprehensive prototype software application, called RAINS that simulates appropriate knowledge on rain harvesting and acts as an intelligent decision tool. It begins with knowledge acquisition, followed by knowledge manipulation and processing, and ends with knowledge delivery. The major strength of this model is on the idea of composing and blending different types of expert's knowledge in a form of cyclic and multi-tiers structure. This model is not only for rain harvesting system development, but also applicable in other knowledge acquisition domains and cases. © 2008 IEEE.
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language English
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