From Raw Data to Smart Manufacturing: AI and Semantic Web of Things for Industry 4.0

被引：70
|
作者：
Patel, Pankesh [1 ]
Ali, Muhammad Intizar [2 ]
Sheth, Amit [3 ]
机构：
[1] Fraunhofer USA, CESE, Plymouth, MI 48170 USA
[2] Natl Univ Ireland, Insight Ctr Data Analyt, Reasoning Querying & IoT Data Analyt Unit, Dublin, Ireland
[3] Kno E Sis Ctr, Fairborn, OH USA
来源：
IEEE INTELLIGENT SYSTEMS | 2018年 / 33卷 / 04期
关键词：
IOT;
D O I：
10.1109/MIS.2018.043741325
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
AI techniques combined with recent advancements in the Internet of Things, Web of Things, and Semantic Web-jointly referred to as the Semantic Web-promise to play an important role in Industry 4.0. As part of this vision, the authors present a Semantic Web of Things for Industry 4.0 (SWeTI) platform. Through realistic use case scenarios, they showcase how SweTI technologies can address Industry 4.0's challenges, facilitate cross-sector and cross-domain integration of systems, and develop intelligent and smart services for smart manufacturing.
引用
收藏
页码：79 / 86
页数：8
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