The advent of Industry 4.0 where humans and intelligent machines coexist, allows machines to assist humans on production lines. During such processes, humans work with other humans and/or machines to produce the required products, forming human-related collaborations. Therefore, Industry 4.0 goes beyond a digital ecosystem by being considered as a System of Information Systems which matches heterogeneous systems. This heterogeneity causes poor information interoperability, weakening the effectiveness of collaboration. This poses an issue: how to facilitate human-related collaborations on production lines into Industry 4.0? Addressing it requires better information interoperability and the definition of indicators that can be used to generate recommendations during collaborations. In this article, we focus on indicators of collaboration context and integrate them into a collaboration context ontology to enhance human-related collaborations into Industry 4.0. We then show how to use it in generating context-aware collaborator recommendations.

人与智能机器并存的工业4.0的出现使机器可以在生产线上为人提供帮助。在这样的过程中，人类与其他人类和/或机器一起工作以生产所需的产品，从而形成与人类相关的协作。因此，工业4.0被认为是与异构系统匹配的信息系统，它超越了数字生态系统。这种异质性导致差的信息互操作性，从而削弱了协作的有效性。这就提出了一个问题：如何促进与人相关的生产线上的协作进入工业4.0？解决该问题需要更好的信息互操作性，并定义可用于在协作期间生成建议的指标。在本文中，我们专注于协作环境的指标，并将其集成到协作环境本体中，以将与人相关的协作增强到Industry 4.0中。然后，我们展示如何在生成上下文感知的协作者建议中使用它。