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  • A Methodology to allow Rural Extension Professionals to build Target-specific expert systems for Australian Rural Business Operators

    Author(s)
    Miah, Shah
    Kerr, Donald
    Gammack, John
    Griffith University Author(s)
    Kerr, Donald V.
    Gammack, John G.
    Miah, Shah
    Year published
    2009
    Metadata
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    Abstract
    Expert systems (ES) development technology has been used to build rural business applications in the past but these have usually been developed using traditional expert systems shells. This paper introduces a new architecture for the development of a design environment where the domain experts can build a knowledge base for target-specific ES for rural business operators. The system allows rural business operators to use their own knowledge in building their own, target-specific ES for tailored development to their own specific requirements. At this stage, this reusable design environment caters for the Australian dairy ...
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    Expert systems (ES) development technology has been used to build rural business applications in the past but these have usually been developed using traditional expert systems shells. This paper introduces a new architecture for the development of a design environment where the domain experts can build a knowledge base for target-specific ES for rural business operators. The system allows rural business operators to use their own knowledge in building their own, target-specific ES for tailored development to their own specific requirements. At this stage, this reusable design environment caters for the Australian dairy industry but in the long run we claim it will be useful for the other livestock based rural industries such as beef cattle and sheep. This approach of developing target-specific ES contributes new knowledge in that it provides a new way of developing decision support by allowing human domain experts to develop relevant ES for different livestock farming business. An evolutionary prototyping approach was employed for initial development of a proof of concept example and as a method of outlining the solution environment. Multiple qualitative data collection methods were engaged to facilitate knowledge acquisition in the domain of milk protein enhancement for dairy operations. This paper also describes the generic development procedure used in this project.
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    Journal Title
    Expert Systems with Applications
    Volume
    36
    Publisher URI
    http://www.elsevier.com
    DOI
    https://doi.org/10.1016/j.eswa.2007.10.022
    Subject
    Mathematical Sciences
    Information and Computing Sciences
    Engineering
    Publication URI
    http://hdl.handle.net/10072/26066
    Collection
    • Journal articles

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