| Title |
Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City |
| ID_Doc |
36926 |
| Authors |
Guo, K; Lu, YM; Gao, H; Cao, RH |
| Title |
Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City |
| Year |
2018 |
| Published |
Sensors, 18.0, 5 |
| DOI |
10.3390/s18051341 |
| Abstract |
Smart city (SC) technologies can provide appropriate services according to citizens' demands. One of the key enablers in a SC is the Internet of Things (IoT) technology, which enables a massive number of devices to connect with each other. However, these devices usually come from different manufacturers with different product standards, which confront interactive control problems. Moreover, these devices will produce large amounts of data, and efficiently analyzing these data for intelligent services. In this paper, we propose a novel artificial intelligence -based semantic IoT (AI-SIoT) hybrid service architecture to integrate heterogeneous IoT devices to support intelligent services. In particular, the proposed architecture is empowered by semantic and AI technologies, which enable flexible connections among heterogeneous devices. The AI technology can support very implement efficient data analysis and make accurate decisions on service provisions in various kinds. Furthermore, we also present several practical use cases of the proposed AI-SIoT architecture and the opportunities and challenges to implement the proposed AI-SIoT for future SCs are also discussed. |
| Author Keywords |
Internet of Things; smart city; smart home; artificial intelligence; semantic modeling |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000435580300040 |
| WoS Category |
Chemistry, Analytical; Engineering, Electrical & Electronic; Instruments & Instrumentation |
| Research Area |
Chemistry; Engineering; Instruments & Instrumentation |
| PDF |
https://www.mdpi.com/1424-8220/18/5/1341/pdf?version=1525349984
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