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  • Ontology development for context-sensitive decision support

    Author(s)
    Miah, Shah
    Gammack, John
    Kerr, Donald
    Griffith University Author(s)
    Kerr, Donald V.
    Year published
    2007
    Metadata
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    Abstract
    Semantics have become acceptable techniques for data integration, data interoperability and data visualization in many software engineering domains and web developments over the past few years. This paper describes a software development where semantic ontology techniques have been used for developing a generic knowledge model applicable across rural industries. This technique enables us to outline a single access point for building end-user specific knowledge based systems. We have called the new solution prototype an End-User Enabled Design Environment (EUEDE) where the knowledge components from the problem ...
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    Semantics have become acceptable techniques for data integration, data interoperability and data visualization in many software engineering domains and web developments over the past few years. This paper describes a software development where semantic ontology techniques have been used for developing a generic knowledge model applicable across rural industries. This technique enables us to outline a single access point for building end-user specific knowledge based systems. We have called the new solution prototype an End-User Enabled Design Environment (EUEDE) where the knowledge components from the problem ontology is used in building specific decision systems that are contextsensitive to end-user factors. Illustrating with an application from the dairy industry, we describe the design architecture and theory, and argue its generic capability to application in other problem domains.
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    Conference Title
    Third International Conference on Semantics, Knowledge and Grid
    Publication URI
    http://hdl.handle.net/10072/18719
    Collection
    • Conference outputs

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