The new frontier research era and convergence of cognitive data science methods and models with reference to the Internet of Things (IoT) and big data systems have brought about various challenges in industrial systems that need to be addressed in the current scenario. Cognitive science will lead to a high level of fluidity to analytics. This special section aims to explore the domain knowledge and reasoning of data science technologies and cognitive methods with the IoT over the big data systems. Data science techniques have been adopted to improve the IoT in terms of data throughput, optimization, and management, and to have a major impact on the future of IoT networking systems. The main focus is the design of best cognitive embedded data science technologies to process and analyze the large amount of data collected through industrial IoT systems and help for good decision making.

中文翻译：

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客座社论：工业信息学中智能物联网网络系统的认知大数据科学专题


新的前沿研究时代以及参考物联网和大数据系统的认知数据科学方法和模型的融合给工业系统带来了当前场景下需要解决的各种挑战。认知科学将带来高水平的分析流动性。本专题旨在探讨大数据系统上物联网的数据科学技术和认知方法的领域知识和推理。数据科学技术已被用来改善物联网的数据吞吐量、优化和管理，并对物联网网络系统的未来产生重大影响。主要重点是设计最佳认知嵌入式数据科学技术，以处理和分析通过工业物联网系统收集的大量数据，并帮助做出良好的决策。