¹Discipline of ICT, University of Tasmania, Sandy Bay campus, Private Bag 51, Hobart, Tasmania, Australia.
²Australian Forestry Operations Research Alliance (AFORA), University of the Sunshine Coast, Maroochydore, Queensland.

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Abstract—With the emergence of the Internet of Things (IoT), there has been an exponential growth in the number of sensors and the data streams they produce. This sensor data is being used in a wide range of primary industries in Australia to enable smarter decisions at many levels of production. This data is only useful if it is accessible to decision makers in a timely manner. This paper examines how a framework that is applicable across multiple domains can be developed to enable rapid development of decision support tools. This aims to avoid development duplication and enable businesses to save time and money. The framework is aimed at rapidly producing Decision Support Systems (DSS) that can aggregate heterogeneous data streams into a single flexible architecture and visualize the data in a way that assists experts to make decisions.

Index Terms—Decision support, information systems, knowledge data engineering, sensor data.

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Cite: Ninh T.U. Ho, Luke Miro wski, Joel Scanlan, "Developing Decision Support Systems for Multiple Knowledge Domains: A Proposed Solution," Journal of Computers vol. 14, no. 5, pp. 339-348, 2019.