Abstract

Situation modeling is a common challenge in modeling systems in non-trivial domains. The General Formal Ontology (GFO) is a top-level ontological theory that includes various notions for representing complex temporally extended situations. It has been used for situation modeling in diverse biomedical domains. We have analyzed and compared such GFO-based application cases. In accordance with this study, we present derived ontology-based design patterns as a conceptual toolset for situation modeling.

Recommended Citation

Burek, P., Loebe, F., Schäfermeier, R., Uciteli, A., Kondracki, B. & Herre, H. (2024). Ontologically Founded Design Patterns for Situation Modeling. In B. Marcinkowski, A. Przybylek, A. Jarzębowicz, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Harnessing Opportunities: Reshaping ISD in the post-COVID-19 and Generative AI Era (ISD2024 Proceedings). Gdańsk, Poland: University of Gdańsk. ISBN: 978-83-972632-0-8. https://doi.org/10.62036/ISD.2024.85

Paper Type

Poster

DOI

10.62036/ISD.2024.85

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Ontologically Founded Design Patterns for Situation Modeling

Situation modeling is a common challenge in modeling systems in non-trivial domains. The General Formal Ontology (GFO) is a top-level ontological theory that includes various notions for representing complex temporally extended situations. It has been used for situation modeling in diverse biomedical domains. We have analyzed and compared such GFO-based application cases. In accordance with this study, we present derived ontology-based design patterns as a conceptual toolset for situation modeling.