Although measurement data from the civil engineering sector are an important basis for scientific analyses in the field of non-destructive testing (NDT), there is still no uniform representation of these data. An analysis of data sets across different test objects or test types is therefore associated with a high manual effort. Ontologies and the semantic web are technologies already used in numerous intelligent systems such as material cyberinfrastructures or research databases. This contribution demonstrates the application of these technologies to the case of the ¹H nuclear magnetic resonance relaxometry, which is commonly used to characterize water content and porosity distribution in solids. The methodology implemented for this purpose was developed specifically to be applied to materials science (MS) tests. The aim of this paper is to analyze such a methodology from the perspective of data interoperability using ontologies. Three benefits are expected from this approach to the study of the implementation of interoperability in the NDT domain: First, expanding knowledge of how the intrinsic characteristics of the NDT domain determine the application of semantic technologies. Second, to determine which aspects of such an implementation can be improved and in what ways. Finally, the baselines of future research in the field of data integration for NDT are drawn.

中文翻译：

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在土木工程无损检测领域实现数据驱动研究的基于本体的方法

虽然土木工程部门的测量数据是无损检测（NDT）领域科学分析的重要依据，但这些数据目前还没有统一的表述方式。因此，跨不同测试对象或测试类型的数据集分析需要大量人工操作。本体和语义网是已经在众多智能系统中使用的技术，例如材料网络基础设施或研究数据库。这一贡献展示了这些技术在¹H 核磁共振弛豫测量法，通常用于表征固体中的水含量和孔隙度分布。为此目的实施的方法是专门开发用于材料科学 (MS) 测试的。本文的目的是从使用本体的数据互操作性的角度分析这种方法论。这种研究 NDT 领域互操作性实施的方法有三个好处：首先，扩展 NDT 领域的内在特征如何决定语义技术应用的知识。其次，确定这种实现的哪些方面可以改进，以什么方式改进。最后，绘制了无损检测数据集成领域未来研究的基线。