发表机构
University of Bologna; San Raffaele University of Rome; University of Mannheim; Institute for Cognitive Sciences and Technology, Italian National Research Council; European Commission（博洛尼亚大学; 罗马圣拉斐尔大学; 曼海姆大学; 意大利国家研究委员会认知科学与技术研究所; 欧盟委员会）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出欧洲危机管理本体（ECMO），通过模块化设计及OWL2技术解决概念歧义，并验证其在流行病情报知识图谱构建中的实用性。
AI 中文摘要
本文介绍了欧洲危机管理本体论（ECMO），这是一个基于OWL的模块化本体，旨在作为跨部门的减灾与响应参考。ECMO被设计为组织成一个本体模块网络。在这些模块中，ECMO-CORE捕获了诸如灾害、事件、暴露、影响和响应措施等基本危机管理概念，并利用本体设计模式和OWL2打孔技术来解决灾害类型与事件表现之间的歧义。此外，领域特定模块被定义，例如与SNOMED CT和ICD-11对齐的公共卫生模块。为了展示该资源的实用性，我们使用ECMO来表示联合研究中心开放来源流行病情报系统的数据，以生成一个端到端的管道，该管道从非结构化的流行病学新闻中填充符合ECMO的知识图谱。初步结果表明，ECMO为一致和统一的知识表示与集成提供了必要的正式保障。该本体可在此https URL公开获取，并根据知识共享署名4.0国际（CC BY 4.0）许可证发布。
英文摘要
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.
Comments17 pages, 2 figures
