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MHYB-CM: Toward a Hybrid Metamodel Integrating Conceptual and Procedural Domain Knowledge

Author

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  • Francois Achille Djontu Tajouo

    (University of Dschang, Cameroon)

  • Andre Cheukem

    (University of Dschang, Cameroon)

  • Thierry Noulamo

    (University of Dschang, Cameroon)

Abstract

This study proposes an MHYB-CM hybrid metamodel that integrates the conceptual and procedural dimensions of domain knowledge to overcome the limitations of mono-formal approaches used in decision support systems. The approach combines conceptual graphs (RDF/OWL) for static semantic structuring and Markov chains for modelling stochastic dynamics. The metamodel is defined at the M2 level of the Meta Object Facility/Unified Modeling Language (MOF/UML) architecture and a conformity function is defined to validate structural, procedural, and alignment consistency between the M2 and M1 levels. Its instantiation is illustrated in the domain of tomato phytopathology, where the joint modelling of static entities (diseases, symptoms, pathogens) and evolutionary dynamics (infection progression, treatment effects) enables both an explainable representation of causal relationships and probabilistic prediction of system evolution. This metamodel can be integrated into a pipeline ranging from knowledge extraction from diverse sources to the construction of specialized knowledge bases and can be used for decision support systems (DSS).

Suggested Citation

  • Francois Achille Djontu Tajouo & Andre Cheukem & Thierry Noulamo, 2026. "MHYB-CM: Toward a Hybrid Metamodel Integrating Conceptual and Procedural Domain Knowledge," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 10(3), pages 1-7, May.
    • Handle: RePEc:epw:ejece0:v:10:y:2026:i:3:id:70325
    DOI: 10.24018/ejece.2026.10.3.70325
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