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Advances on data, information, and knowledge in the internet of things

机译:物联网中数据,信息和知识的进步

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摘要

The internet of things (IoT) is a dynamic smart networked system with connected sensors, processors, and actuators that are designed to sense and interact with the physical world. Achieving the benefits of IoT requires the fusion and management of large scale heterogeneous data using knowledge-based decision systems and the integration of different technologies. Many challenges exist, including identifying things correctly and safely in IoT, modeling and integrating variety and volumes of data, acquiring knowledge automatically from the big data, and ensuring security and privacy, etc.
机译:物联网(IoT)是一个动态的智能联网系统,具有连接的传感器,处理器和执行器,旨在感知物理世界并与之交互。为了实现物联网的优势,需要使用基于知识的决策系统以及各种技术的集成来融合和管理大规模异构数据。存在许多挑战,包括在IoT中正确,安全地识别事物,对各种数据量和数据量进行建模和集成,从大数据中自动获取知识以及确保安全性和隐私性等。

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