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Ontology-based simulation in agricultural systems modeling

  • Beck, Howard
  • Morgan, Kelly
  • Jung, Yunchul
  • Grunwald, Sabine
  • Kwon, Ho-young
  • Wu, Jin
Registered author(s):

    A methodology and applications of ontology-based simulation are presented. An environment for building simulations based on the Lyra ontology management system is described which includes web-based visual design tools for constructing models and automatically generating simulation code. The ontology is used for representing all equations and all symbols appearing in these equations that are needed to describe a model. The example applications presented are models of soil, water, and nutrient management in citrus and sugarcane. Results thus far show that the ontology-based approach has advantages for representing the model structure, equations, and symbols, that complex models can be described in this format, and that efficient simulation code can be generated automatically from the ontology definition of the model. Potential applications, not yet fully explored, include ability to automatically connect models and data sources, using the ontology to organize model bases containing many models and model components, and using ontology reasoners to search for models, automatically discover model similarities and differences, and generate model instances from general principles.

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    File URL: http://www.sciencedirect.com/science/article/B6T3W-50F36KX-1/2/0989147cdec414089cbfef3817ee2858
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    Article provided by Elsevier in its journal Agricultural Systems.

    Volume (Year): 103 (2010)
    Issue (Month): 7 (September)
    Pages: 463-477

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    Handle: RePEc:eee:agisys:v:103:y:2010:i:7:p:463-477
    Contact details of provider: Web page: http://www.elsevier.com/locate/agsy

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    1. Caldwell, Robert M. & Fernandez, Anthony A. J., 1998. "A generic model of hierarchy for systems analysis and simulation," Agricultural Systems, Elsevier, vol. 57(2), pages 197-225, June.
    2. Jones, J. W. & Keating, B. A. & Porter, C. H., 2001. "Approaches to modular model development," Agricultural Systems, Elsevier, vol. 70(2-3), pages 421-443.
    3. Moore, A.D. & Holzworth, D.P. & Herrmann, N.I. & Huth, N.I. & Robertson, M.J., 2007. "The Common Modelling Protocol: A hierarchical framework for simulation of agricultural and environmental systems," Agricultural Systems, Elsevier, vol. 95(1-3), pages 37-48, December.
    4. van Ittersum, Martin K. & Ewert, Frank & Heckelei, Thomas & Wery, Jacques & Alkan Olsson, Johanna & Andersen, Erling & Bezlepkina, Irina & Brouwer, Floor & Donatelli, Marcello & Flichman, Guillermo & , 2008. "Integrated assessment of agricultural systems - A component-based framework for the European Union (SEAMLESS)," Agricultural Systems, Elsevier, vol. 96(1-3), pages 150-165, March.
    5. Kwon, Ho-Young & Grunwald, Sabine & Beck, Howard W. & Jung, Yunchul & Daroub, Samira H. & Lang, Timothy A. & Morgan, Kelly T., 2010. "Ontology-based simulation of water flow in organic soils applied to Florida sugarcane," Agricultural Water Management, Elsevier, vol. 97(1), pages 112-122, January.
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