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An MDA approach to knowledge engineering
Authors:Nicolas Prat  Jacky Akoka  Isabelle Comyn-Wattiau
Affiliation:1. ESSEC Business School, 1, Av. B. Hirsch, 95000 CERGY, France;2. CEDRIC-CNAM & Institut Telecom/TEM Research, 2 Rue Conté, 75003 Paris, France;3. CEDRIC-CNAM & ESSEC Business School, 2 Rue Conté, 75003 Paris, France;1. Research Centre for Experimental Orthopaedics, Orthopaedic University Hospital Heidelberg, Schlierbacher Landstrasse 200a, 69118 Heidelberg, Germany;2. Biopharm GmbH, Headquarter Heidelberg, Czernyring 22, 69115 Heidelberg, Germany;3. University Clinic Wuerzburg, Chair of Tissue Engineering and Regenerative Medicine, Schneider-Strasse 2, 97080 Wuerzburg, Germany;1. University at Buffalo, State University of New York, School of Public Health and Health Professions, Department of Community Health and Health Behavior, Buffalo, NY, USA;2. Roswell Park Cancer Institute, Department of Medicine and Department of Health Behavior, Buffalo, NY, USA;3. Roswell Park Cancer Institute, Department of Health Behavior, Buffalo, NY, USA;1. School of Mathematics and Statistics, University of New South Wales, Sydney 2052, Australia;2. CAPES Foundation, Ministry of Education of Brazil, Brasília - DF 70040-020, Brazil;3. School of Mathematics and Statistics, Newcastle University, UK;1. Department of Medicine (Cardiology), David Geffen School of Medicine, University of California, Los Angeles, CA, USA;2. Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
Abstract:This paper proposes an MDA approach to knowledge engineering, centered on the CommonKADS knowledge model. The latter corresponds to the CIM level of MDA whereas PRR, which represents production rules and rulesets, corresponds to the PIM level. The paper explores the mapping between CommonKADS knowledge models and production rules and rulesets based on PRR. Mapping CommonKADS knowledge models into PRR is very useful, due to the fact that the CIM level remains relatively unexplored, despite its key role in MDA. This motivates our choice to focus on the CIM and PIM levels. Furthermore, the mapping between PIM and PSM (i.e. the implementation of production rules in specific rule-based systems) constitutes less of an issue. To map CommonKADS knowledge models into PRR production rules and rulesets, we propose and illustrate a set of transformations. To ease these transformations, we start by grouping elements of the CommonKADS knowledge models into so-called “inference groups”. We propose and illustrate an algorithm that defines these inference groups automatically. The definition of transformations between models (CIM to PIM levels) requires a specific metamodel for CommonKADS as well as a dedicated metamodel for PRR. Unlike PRR, there is no published CommonKADS metamodel. This paper proposes a comprehensive CommonKADS knowledge metamodel. We describe and discuss an example, applying the whole approach.
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