Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing
Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing
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DOI：
10.1109/mis.2016.34
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发表时间：
2016-03
影响因子：
6.4
通讯作者：
A. Sheth
中科院分区：
文献类型：
--
作者：
A. Sheth
物联网(IoT)的快速增长导致了这些设备和传感器在互联网上产生的数据量的巨大增长。物理-网络-社交(PCS)大数据由这些物联网数据组成，并辅之以各种形式的相关网络和社交数据。智能数据是关于利用这些PCS大数据来获得深入的见解并使其具有可操作性，并使其能够促进构建智能系统和应用程序。本文讨论了语义计算、认知计算和感知计算中的关键人工智能研究。它们的协同使用预计将推动未来在为多个行业迅速扩大的市场构建智能系统和应用程序方面的进展。在接下来的两年里，物联网专栏将探索物联网数据智能使用和应用方面的许多挑战和技术。
Rapid growth in the Internet of Things (IoT) has resulted in a massive growth of data generated by these devices and sensors put on the Internet. Physical-cyber-social (PCS) big data consist of this IoT data, complemented by relevant Web-based and social data of various modalities. Smart data is about exploiting this PCS big data to get deep insights and make it actionable, and making it possible to facilitate building intelligent systems and applications. This article discusses key AI research in semantic computing, cognitive computing, and perceptual computing. Their synergistic use is expected to power future progress in building intelligent systems and applications for rapidly expanding markets in multiple industries. Over the next two years, this column on IoT will explore many challenges and technologies on intelligent use and applications of IoT data.