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
Link To Document :
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