An ontology for cross-sectoral crisis management: core and public health modules
ECMO, a modular OWL ontology, standardizes cross-sector crisis data including a SNOMED-aligned public health module.
The paper presents the European Crisis Management Ontology (ECMO), a modular OWL ontology for disaster risk reduction and response. ECMO-CORE models hazard, event, exposure, impact, and response using design patterns and OWL 2 punning. A public-health module aligns with SNOMED CT and ICD-11. Authors represent Joint Research Centre Epidemic Intelligence from Open Sources data in an ECMO knowledge graph; the ontology is on Zenodo under CC BY 4.0.
- ECMO-CORE covers hazard, event, exposure, impact, and response.
- Public-health module aligns with SNOMED CT and ICD-11.
- A pipeline builds a knowledge graph from epidemiological news.
- Released on Zenodo under CC BY 4.0.
Full article173 words · extracted from arxiv.org · click to collapse
This paper presents the European Crisis Management Ontology (ECMO), a modular OWL-based ontology intended as a cross-sectoral reference for disaster risk reduction and response. ECMO is designed to be organised as a network of ontological modules. Among the modules, ECMO-CORE captures fundamental crisis management concepts such as hazard, event, exposure, impact, and response measure and uses ontology design patterns and the OWL2 punning technique to resolve ambiguities between hazard types and event manifestations. In addition, domain-specific modules are defined as in the case of the public health module aligned with SNOMED CT and ICD-11. To demonstrate the resource's utility, we used ECMO to represent the data of the Epidemic Intelligence from Open Sources system of the Joint Research Centre to generate an end-to-end pipeline that populates an ECMO-compliant knowledge graph from unstructured epidemiological news. Initial results demonstrate that ECMO provides the formal guardrails necessary for consistent and unified knowledge representation and integration. The ontology is publicly available at https://doi.org/10.5281/zenodo.20070268 and is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Text extracted automatically; images, tables and formatting may be missing. Original: https://arxiv.org/abs/2610.01326