Using ontology to harmonize knowledge concepts in data and models
The challenge in integrated modeling is the conceptual integration. To achieve this, we need explicit semantics and a shared conceptualization. A participatory and collaborative approach is a key success factor for the creation of a common ontology for models, indicators and raw data. The development of the SEAMLESS common ontology was and still is a big challenge that is performed by a dedicated taskforce. By putting the ontology in a central position in the project and the systems architecture, this shared conceptualization is the basis for generating (Java) source code for the object classes representing all the concepts and representing the objects in relational database tables. The use of ontology has proved to be very useful if not essential both for the technical integration of knowledge in the SEAMLESS Integrated Framework and in understanding the meaning of communicated words of the diversity of people within the project.
J. J. F. Wien, M. J. R. Knapen, S. J. C. Janssen, P. J. F. M. Verweij, I. N. Athanasiadis, H. Li, A. E. Rizzoli, F. Villa, Using ontology to harmonize knowledge concepts in data and models, MODSIM 2007 Intl Congress on Modelling and Simulation, pg. 1959-1965, 2007, Modelling and Simulation Society of Australia and New Zealand.
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