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A methodology to allow rural extension professionals to build target-specific expert systems for Australian rural business operators

Miah, Shah Jahan, Kerr, Don and Gammack, John (2009) A methodology to allow rural extension professionals to build target-specific expert systems for Australian rural business operators. Expert Systems with Applications, 36 (1). pp. 735-744. ISSN 0957-4174

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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 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.

Item Type: Article
Uncontrolled Keywords: ResPubID22727, target-specific expert systems, design environment, rural application
Subjects: FOR Classification > 1503 Business and Management
Faculty/School/Research Centre/Department > School of Management and Information Systems
Depositing User: VUIR
Date Deposited: 02 Jul 2012 07:10
Last Modified: 29 May 2018 06:30
URI: http://vuir.vu.edu.au/id/eprint/7849
DOI: https://doi.org/10.1016/j.eswa.2007.10.022
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Citations in Scopus: 25 - View on Scopus

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