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  • A sustainable knowledge repository for decision support in climate change adaptation

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    62423_1.pdf (223.8Kb)
    Author(s)
    Miah, Shah
    Gammack, John
    Griffith University Author(s)
    Gammack, John G.
    Miah, Shah
    Year published
    2009
    Metadata
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    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 ...
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    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.
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    Conference Title
    Proceedings of the Fifth International Conference on Semantics, Knowledge and Grid SKG 2009
    DOI
    https://doi.org/10.1109/SKG.2009.96
    Copyright Statement
    © 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    Subject
    Information Systems not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/30009
    Collection
    • Conference outputs

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