Ontology development for context-sensitive decision support

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Miah, Shah Jahan, Gammack, J and Kerr, Debra (2007) Ontology development for context-sensitive decision support. In: Proceedings, Third International Conference on Semantics, Knowledge and Grid : SKG 2007. Zhang, Y, ed. IEEE Computer Society, Los Alamitos, California, pp. 475-478.

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 ontology is used in building specific decision systems that are context-sensitive 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. ---Conference held: Xi'an, Shan Xi, China, 29-31 October 2007

Item type Book Section
URI http://vuir.vu.edu.au/id/eprint/9799
Identification Number https://doi.org/10.1109/SKG.2007.117
Official URL http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn...
ISBN 9780769530079
Subjects Historical > Faculty/School/Research Centre/Department > School of Management and Information Systems
Current > FOR Classification > 0806 Information Systems
Keywords ResPubID22734, dairying, decision support systems, DSS, knowledge based systems, ontologies, artificial intelligence, production engineering computing, software engineering, Web development, dairy industry, data integration, data interoperability, data visualisation, end-user enabled design environment, end-user specific knowledge based systems, end users. generic knowledge model, semantic ontology techniques, software engineering, artificial intelligence, buildings, conference management, decision making, engineering management, knowledge management, ontologies, software development management, software engineering
Citations in Scopus 9 - View on Scopus
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