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

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

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 4.0s challenges, facilitate cross-sector and cross-domain integration of systems, and develop intelligent and smart services for smart manufacturing.

[1] Maria-Esther Vidal,et al. The industry 4.0 standards landscape from a semantic integration perspective , 2017, 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).

[2] Amit P. Sheth,et al. Machine learning for Internet of Things data analysis: A survey , 2017, Digit. Commun. Networks.

[3] Steffen Lohmann,et al. Monitoring and Automating Factories Using Semantic Models , 2016, JIST.

[4] Amit P. Sheth,et al. On Using the Intelligent Edge for IoT Analytics , 2017, IEEE Intelligent Systems.

[5] Amit P. Sheth,et al. Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing , 2016, IEEE Intelligent Systems.

[6] Alessandra Mileo,et al. Automated discovery and integration of semantic urban data streams: The ACEIS middleware , 2017, Future Gener. Comput. Syst..

[7] Dennis Miller,et al. Blockchain and the Internet of Things in the Industrial Sector , 2018, IT Professional.

[8] Amit P. Sheth,et al. Building the Web of Knowledge with Smart IoT Applications , 2016, IEEE Intelligent Systems.