Growth in computational materials science and initiatives such as the Materials Genome Initiative (MGI) and the European Materials Modelling Council (EMMC) has motivated the development and application of ontologies. A key factor has been increased adoption of the FAIR principles, making research data findable, accessible, interoperable, and reusable (Wilkinson et al. 2016). This paper characterizes semantic interoperability among a subset of materials science ontologies in the MatPortal repository. Background context covers semantic interoperability, ontological commitment, and the materials science ontology landscape. The research focused on MatPortal's two interoperability protocols: LOOM term matching and URI matching. Results report the degree of overlap and demonstrate the different types of ambiguity among ontologies. The discussion considers implications for FAIR and AI, and the conclusion highlight key findings and next steps.

翻译：计算材料科学的发展以及材料基因组计划（MGI）和欧洲材料建模理事会（EMMC）等举措推动了本体的开发与应用。关键因素之一是FAIR原则的广泛采用，该原则使研究数据可查找、可访问、可互操作和可重复使用（Wilkinson等，2016）。本文表征了MatPortal存储库中一部分材料科学本体之间的语义互操作性。背景部分涵盖语义互操作性、本体承诺及材料科学本体领域概况。研究聚焦于MatPortal的两个互操作协议：LOOM术语匹配和URI匹配。结果报告了重叠程度并展示了本体间不同类型的歧义。讨论部分考虑了FAIR与人工智能的应用意义，结论部分总结了关键发现和后续步骤。