A Sustainable knowledge repository for decision support in Climate Change Adaptation
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.
knowledge repository design science sustainable solution climate change decision support
Shah J. Miah John G. Gammack
Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Australia
国际会议
Fifth International Conference on Semantics,Knowledge and Grid(第五届语义、知识与网格国际会议 SKG 2009)
珠海
英文
376-383
2009-10-12（万方平台首次上网日期，不代表论文的发表时间）