Abstract Managing information quality has become important in cyber-physical systems dealing with big data. In this regard, different models have been proposed, mainly in flat peer-to-peer networks, in which exchanging information efficiently is a key aspect due to scarce resources. However, little research has been conducted on information quality metrics for cyber-physical scenarios. In this paper, we propose an information quality metric and show its application to an information fusion model. It is a “model-oriented quality metric” since it allows non-predefined variants on its configuration depending on the application domain. The model was tested on several simulations using open datasets. The results obtained in the performance of the model confirm the validity of the information quality metric, proposed in this paper, on which the model is based. The model may have a wide variety of applications such as mobile recommendation or decision making in critical environments (emergencies, war, and so on).

中文翻译：

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面向信息融合模型的信息质量度量的定义

摘要 在处理大数据的网络物理系统中，管理信息质量变得很重要。在这方面，已经提出了不同的模型，主要是在扁平的对等网络中，由于资源稀缺，有效地交换信息是一个关键方面。然而，关于网络物理场景的信息质量指标的研究很少。在本文中，我们提出了一种信息质量度量，并展示了其在信息融合模型中的应用。它是一种“面向模型的质量指标”，因为它允许根据应用程序域对其配置进行非预定义的变体。该模型使用开放数据集在多个模拟中进行了测试。在模型性能中获得的结果证实了本文提出的信息质量度量的有效性，模型所基于的。该模型可能具有广泛的应用，例如移动推荐或关键环境（紧急情况、战争等）中的决策制定。