Semantic Modeling in Farming Systems Research - The Case of the Agricultural Management Definition Module
Farming Systems Research studies agricultural systems and their interaction with the natural environment and ecosystems. Agroecosystems are highly complex due to the many feedbacks between natural processes, high geographical diversity and human factors involved both as the farmer’s decisions at farm household level and as the policy implementations at regional, national or European levels. This paper presents a novel approach for developing an Agricultural Management Definition Module (AMDM), by exploiting ontologies and semantic modeling. Specifically, a declarative approach has been utilized for conceptualizing farming systems and the management alternatives of a farm household. This conceptual model has been implemented as an ontology that ultimately has been used as the basis for software development and integration. This paper presents in detail the methodology used for developing AMDM and a real-world installation, part of the SEAMLESS integrated project.
KeywordsSemantic Modeling Domain Ontology Production Orientation Farm Model Production Coefficient
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- Athanasiadis IN, Rizzoli AE, Donatelli M, Carlini L (2006) Enriching software model interfaces using ontology-based tools. In: 3rd Biennial meeting of the International Environmental Modelling and Software Society’, iEMSsGoogle Scholar
- Bizer C (2003) D2R MAP-A Database to RDF Mapping Language. In: Proceedings of the Twelfth International World Wide Web Conference (WWW2003), Budapest, HungaryGoogle Scholar
- Ewert F, van Ittersum M, Bezlepkina I, Oude Lansink A, Brouwer F, Andersen E, Flichman G, Heckelei T, Olsson J, Olsson L, Rizzoli A, van der Wal T, Wery J (2005) Development of a conceptual framework for integrated analysis and assessment of agricultural systems in SEAMLESS-IF. In: Technical report, SEAMLESS-IP, http://www.seamless-ip.org/Reports/Report_01_PD1.2.1.pdfGoogle Scholar
- Horridge M, Knublauch H, Rector A, Stevens R, Wroe C A (2004) Practical Guide To Building OWL Ontologies Using The Protégé-OWL Plugin and CO-ODE Tools. Online Tutorial, The University Of Manchester and Stanford University. http://protege.stanford.edu/plugins/owl/, access: 2007-02-14Google Scholar
- McGuinness D, van Harmelen F (2004) OWL Web Ontology Language Overview. In: Technical report, WWW Consortium. http://www.w3.org/TR/owlfeatures/, access: 2007-02-14Google Scholar
- Rizzoli A, Donatelli M, Athanasiadis I, Villa F, Muetzelfeldt R, Huber D (2005) Semantic links in integrated modelling frameworks. In: Zerger A, Argent RM (eds) 16th International Congress on Modelling and Simulation (MODSIM 2005), MSSANZ, pp 704–710Google Scholar
- van Ittersum MK, Donatelli M (eds) (2003) Modelling Cropping Systems: Science, Software and Applications. In: Special Issue of European Journal of Agronomy, vol 18, edn 3–4Google Scholar
- Willmott S, Dale J, Charlton P (2002) Agent Communication Semantics for Open Environments. In: Technical report f-in-00066, FIPAGoogle Scholar