DocumentCode
2929029
Title
A Sustainable Knowledge Repository for Decision Support in Climate Change Adaptation
Author
Miah, Shah J. ; Gammack, John G.
Author_Institution
Inst. for Integrated & Intell. Syst., Griffith Univ., Brisbane, QLD, Australia
fYear
2009
fDate
12-14 Oct. 2009
Firstpage
376
Lastpage
383
Abstract
Issues around climate change are being examined globally across various disciplines and informed decisions at community levels are required within wider national responses. Research addressing decision support for managing the possible impacts on human communities has to date been limited. As climate science knowledge and government policy changes, information must be updated for dissemination to regional implementers. Traditional knowledge repositories for decision support however work on static models, expensive to update in dynamic fields. This paper describes a process for developing a sustainable knowledge repository for decision support that can assist local policy development in climate change applications. An ontology guaranteeing the semantic integrity of the repository is a central feature. Using a semantic wiki approach the semantic integrity of the knowledge base is combined with the update of emergent findings from multiple stakeholders. Both methodological and practical aspects for developing an information framework to support climate change decision makers are addressed.
Keywords
climatology; decision support systems; environmental science computing; knowledge based systems; semantic Web; climate change adaptation; climate science knowledge; decision support; government policy; knowledge repository; semantic wiki; Australia; Decision making; Ecosystems; Environmental economics; Government; Humans; Intelligent systems; Knowledge management; Ontologies; Water conservation; climate change; decision support; design science; knowledge repository; sustainable solution;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grid, 2009. SKG 2009. Fifth International Conference on
Conference_Location
Zhuhai
Print_ISBN
978-0-7695-3810-5
Type
conf
DOI
10.1109/SKG.2009.96
Filename
5370098
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