ORIGINAL PAPER
Semantic web technologies for enhancing web-based decision support system for designing and managing drying and storage of cereal grains
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Poznań University of Life Sciences, Faculty of Agriculture and Bioengineering, Institute of Biosystems Engineering Department of Applied Informatics ul. Wojska Polskiego 28, 60-637 Poznań, Poland
Journal of Research and Applications in Agricultural Engineering 2013;58(2):184-187
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ABSTRACT
Emerging technologies enhancing implementation of more advanced software were analyzed and applied to upgrade the standalone DSS Ziarbit, developed by the authors in past years, to a form of a Web-based decision support system embedded in Semantic Web frameworks. The system was developed to support design and management of cereal grain drying and storage processes. New technologies were used for problem domain analysis, UML diagramming, knowledge representation and Semantic Web implementation, and recent Microsoft programming environments were applied (.NET 4.5, ASP .NET 4.5, C++/CLI and C# available in Microsoft Visual Studio 2012, and Windows Phone SDK 8). In order to ensure interoperability, a concept of Internet-based Knowledge Center (IKC) was introduced and the new system was developed within the IKC framework.
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