A generic design environment for the rural industry knowledge acquisition

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Miah, Shah Jahan, Kerr, Don, Gammack, John and Cowan, Tom (2008) A generic design environment for the rural industry knowledge acquisition. Knowledge-Based Systems, 21 (8). pp. 892-899. ISSN 0950-7051 (print) 1872-7409 (on-line)


This paper describes a new knowledge acquisition method using a generic design environment where context-sensitive knowledge is used to build specific DSS for rural business. Although standard knowledge acquisition methods have been applied in rural business applications, uptake remains low and familiar weaknesses such as obsolescence and brittleness apply. We describe a decision support system (DSS) building environment where contextual factors relevant to the end users are directly taken into consideration. This “end user enabled design environment” (EUEDE) engages both domain experts in creating an expert knowledge base and business operators/end users (such as farmers) in using this knowledge for building their specific DSS. We document the knowledge organisation for the problem domain, namely a dairy industry application. This development involved a case-study research approach used to explore dairy operational knowledge. In this system end users can tailor their decision-making requirements using their own judgement to build specific DSSs. In a specific end user’s farming context, each specific DSS provides expert suggestions to assist farmers in improving their farming practice. The paper also shows the environment’s generic capability.

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/7850
DOI 10.1016/j.knosys.2008.03.054
Official URL http://dx.doi.org/10.1016/j.knosys.2008.03.054
Subjects Historical > FOR Classification > 1503 Business and Management
Historical > Faculty/School/Research Centre/Department > School of Management and Information Systems
Keywords ResPubID22732. rural application, DSS process, rural businesses, dairy sector, milk protein, knowledge management, knowledge systems
Citations in Scopus 24 - View on Scopus
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