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The preparation of high quality emergency plans to guide operational decisions is an approach to mitigate the emergency management complexity. In such multidisciplinary scenario, teams with different perspectives need to collaborate towards a common goal and interact within a common understanding. In this scenario, the characterization of the variability of the elements involved in these plans is an important issue, which is addressed by the emergency plans generation methodology Document Product Line for Emergency Plans (DPL(EP)). To increase common understanding of plans, we propose an adaptation of this methodology by applying a well-founded emergency ontology, termed OntoEmergePlan, which supports the domain engineering phase. It is grounded in a foundational ontology, which ensures a higher consistency degree to the process of plans generation.

The lack of well-founded constructs in ontology tools can lead to the construction of non-intended models. In this demonstration we present the Menthor Editor, an ontology-driven conceptual modelling platform which incorporates the theories of the Unified Foundational Ontology (UFO). We illustrate how UFO categories can improve the design of domain ontologies. Moreover, the verification and validation approaches are demonstrated with ontologies of our catalogue. The complete execution of the model-driven engineering is exemplified, including situation modelling.