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Ontology-Based Metamodelling, Modelling and Application Development

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Metamodeling: Applications and Trajectories to the Future

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Abstract

Using three dimensions of the knowledge space for conceptual modeling, graphical models and logic-based ontologies are compared. Their integration results in ontology-based modelling and metamodeling. Models can be easily created and understood by humans. At the same time, the representation as an ontology allows for machine interpretation. It is shown how ontology-based metamodelling can overcome disadvantages of the Meta Object Facility and the Model-driven Architecture for application development, knowledge-based systems, model validation and knowledge management.

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Notes

  1. 1.

    https://www.omilab.org/

  2. 2.

    https://adoxx.org/

  3. 3.

    https://www.omg.org/mda/

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Authors and Affiliations

  1. FHNW University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland

    Knut Hinkelmann

  2. OMiLAB gGMBH, Berlin, Germany

    Knut Hinkelmann

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  1. Knut Hinkelmann
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Correspondence to Knut Hinkelmann .

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Editors and Affiliations

  1. University of Fribourg, Fribourg, Switzerland

    Hans-Georg Fill

  2. BOC Product & Services AG, Vienna, Austria

    Harald Kühn

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Hinkelmann, K. (2024). Ontology-Based Metamodelling, Modelling and Application Development. In: Fill, HG., Kühn, H. (eds) Metamodeling: Applications and Trajectories to the Future. Springer, Cham. https://doi.org/10.1007/978-3-031-56862-6_5

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  • DOI: https://doi.org/10.1007/978-3-031-56862-6_5

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  • Online ISBN: 978-3-031-56862-6

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