Preprints
https://doi.org/10.5194/egusphere-2025-5332
https://doi.org/10.5194/egusphere-2025-5332
19 Dec 2025
 | 19 Dec 2025
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

Interpretation and Representation in Geomodels: The POKIMON Ontology for Formalizing Geomodelling Knowledge

Imadeddine Laouici, Boyan Brodaric, Christelle Loiselet, and Gautier Laurent

Abstract. With their growing volumes and uses, it is increasingly important to understand the interpretative and representational aspects of three-dimensional (3D) geosciences models. Such understanding will not only clarify key premises, inferences, and conclusions, but also enable more informed applications. Yet the epistemic foundations are often opaque. Critical information about assumptions, reasoning steps, and uncertainties typically remains tacit in the mind of the geomodeller. This lack of transparency hampers explainability, reproducibility, and broader utility. Current practices therefore 15 limit trust, knowledge transfer, and automation in geomodelling workflows. To address these limitations, we develop the POKIMON ontology, designed to make explicit the expert knowledge, interpretative choices, and conceptual structures underlying 3D geosciences models. POKIMON provides a formalized framework to represent how geological and geomdelling concepts are applied during model construction. Motivating use-cases, the ontological structure, and its application to the use[1]cases are presented to demonstrate utility and to advance automated knowledge-driven 3D geomodelling.

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Imadeddine Laouici, Boyan Brodaric, Christelle Loiselet, and Gautier Laurent

Status: open (until 13 Feb 2026)

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Imadeddine Laouici, Boyan Brodaric, Christelle Loiselet, and Gautier Laurent
Imadeddine Laouici, Boyan Brodaric, Christelle Loiselet, and Gautier Laurent
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Short summary
3D geoscience models lack transparency about the interpretation process and the assumption to model and represent geological entities, limiting explainability, reproducibility, and automation. To address this, we present POKIMON, an ontology that formalizes the expert knowledge, interpretative aspects, and geological entities descriptions underlying 3D geomodelling, enhancing understanding, transparency, and knowledge-driven automation.
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