Integration of heterogeneous data sources in a single representation is an active field with many different tools and techniques. In the case of text-based approaches—those that base the definition of the mappings and the integration on a DSL—there is a lack of usability studies. In this work we have conducted a usability experiment (n = 17) on three different languages: ShExML (our own language), YARRRML and SPARQL-Generate. Results show that ShExML users tend to perform better than those of YARRRML and SPARQL-Generate. This study sheds light on usability aspects of these languages design and remarks some aspects of improvement.

中文翻译：

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ShExML：为首次使用的用户提高异构数据映射语言的可用性

异构数据源以单个表示形式的集成是一个活跃的领域，具有许多不同的工具和技术。在基于文本的方法（基于映射的定义和基于DSL的集成的方法）的情况下，缺乏可用性研究。在这项工作中，我们对三种不同的语言进行了可用性实验（n = 17）：ShExML（我们自己的语言），YARRRML和SPARQL-Generate。结果表明，ShExML用户的性能往往优于YARRRML和SPARQL-Generate。这项研究揭示了这些语言设计的可用性方面，并指出了一些改进方面。