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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2016 Issue 2, Pages 16–29 (Mi iipr280)

Representation of knowledge and engineering of knowledge

Application of the model-driven development approach for designing rule-based expert systems and knowledge-bases

M. A. Grishenko, N. O. Dorodnykh, O. A. Nikolaychuk, A. Yu. Yurin

Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences, Irkutsk

Abstract: The paper describes application of the model driven development (MDD) approach for designing rulebased expert systems and knowledge bases. The specialization of the approach consists in the use: of ontology to represent a computation-independent model, the author's notation RVML (Rule Visual Modeling Language) to create platform-independent model and platform-specific models and CLIPS as the platform. The problem statement, the main elements of the approach, algorithms and software are presented.

Keywords: model driven architecture, rules, expert system, knowledge base, design and development, ontology.



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