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）与欧洲材料建模委员会（EMMC）等倡议，推动了本体的开发与应用。其中关键因素在于FAIR原则（使研究数据可查找、可访问、可互操作、可重用，Wilkinson et al. 2016）的广泛采纳。本文对MatPortal存储库中部分材料科学本体的语义互操作性进行了特征分析。背景部分涵盖了语义互操作性、本体承诺及材料科学本体发展现状。研究聚焦于MatPortal的两项互操作协议：LOOM术语匹配与URI匹配。结果报告了本体间的重叠程度，并揭示了不同类别的语义歧义现象。讨论部分阐述了该发现对FAIR原则与人工智能领域的启示，结论部分总结了关键发现与后续研究方向。