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Methodological proposal for modelling and implementing regulation application problems in a knowledge-based system

Abstract:

In this paper, a methodology is proposed for designing and constructing a knowledge-based system(KBS) in order to generate and evaluate administrative grants. The methodology is applied to the Common Agricultural Policy regulations covering Spanish farmers for validation. The proposed methodology facilitates the development of applications of this type from preliminary problem analysis to application implementation and maintenance. This methodology is well adapted to the characteristics of the knowledge-based software under development: open requirements and diverse computational models. It constitutes a complete guide for the knowledge engineer in producing and maintaining an automated solution to a real-world problem, as the methodology is not only declarative (i.e. indicates what to do) but also procedural (i.e. indicates how to do it). The KBS demonstrator built is a query system for use by specialists from the Agricultural Extension Services. The prototype implemented by means of the Kappa-PC V. 2.3 was developed jointly by the Departments of Artificial Intelligence, Rural Projects and Planning and Mathematics Applied to Agronomics of the Polytechnic University of Madrid and the Castile-Leon Provincial Office of Agriculture in Segovia.