提升国防与国家安全本体间的互操作性：分析与评估任务
Improving Interoperability among Defence and National Security Ontologies: Analysis and Evaluation Tasks
- City St George’s, University of London（伦敦城市圣乔治大学）
- Universidade de Lisboa（里斯本大学）
- Defence Science and Technology Laboratory（国防科学技术实验室）
- The Alan Turing Institute（艾伦·图灵研究所）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究针对国防与国家安全本体互操作难题，分析记录60余种公开本体，为OAEI新增含8项任务的赛道，构建共识对齐与银标准映射，为相关评估提供支撑。
AI中文摘要：
本体与知识图谱在国防和国家安全领域的应用日益广泛，学术界、产业界及政府主导的各类计划已开发出大量本体。由于该领域范围广且专业性强，实现不同国防与国家安全本体间的互操作性仍是一项重大挑战。本研究分析并记录了60余种公开可用的本体，并为本体对齐评估倡议（OAEI）新增了一个赛道，该赛道包含8个匹配任务、共识对齐结果以及人工整理的银标准映射。共识对齐结果是通过聚合多个最先进的本体对齐系统的输出得到的，银标准则是通过对共识对齐结果及唯一映射子集（即仅由一个系统提出的映射）进行人工验证获得的。
英文摘要：
The use of ontologies and knowledge graphs is becoming increasingly widespread in the defence and national security domain. Numerous ontologies have been developed through initiatives led by academia, industry, and government. Achieving interoperability across diverse defence and national security ontologies remains a major challenge due to the domain's breadth and specialisation. In this work, we analyse and document over 60 publicly available ontologies and introduce a new track for the Ontology Alignment Evaluation Initiative (OAEI). This track comprises eight matching tasks, consensus alignments and manually-curated (silver-standard) mappings. The consensus alignments are derived by aggregating the outputs of several state-of-the-art ontology alignment systems. The silver-standard is obtained from the manual validation of the consensus alignment together with a subset of the unique mappings (i.e., mappings suggested by only one system).
