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A Semantic Web Based Intelligent IoT Model

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Algorithms and Architectures for Parallel Processing (ICA3PP 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11336))

Abstract

Different from the sensor network, the devices in the intelligent Internet of Things (IoT) should be able to organize and coordinate spontaneously to accomplish specific tasks. By taking advantage of various intelligent technologies, we proposed an intelligent IoT model based on the Semantic Web. The framework consists of top ontology, entity link layer, semantic label layer, service register center, transaction construction layer, and transaction execution control layer. For the sake of constructing and executing the transactions automatically in the intelligent IoT, entity functions are represented by Semantic Web Services. Additionally, the framework also acts as a manager during the execution of a transaction and makes effective management and control to the entities. We demonstrated the effectiveness and superiority of the proposed model with a case study of the comprehensive rescue service for transportation accidents.

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Acknowledgment

This work was supported in part by the Natural Science Foundation of Guangdong Province, China (Grant No. 2018A030313014); Guangdong University Scientific Innovation Project (Grant No. 2017KTSCX178); the outstanding young teacher training program of the Education Department of Guangdong Province (Grant No. YQ2015158); Guangdong Provincial Science & Technology Plan Projects (Grant Nos. 2016A010101035 & 2016A010101034); and National Natural Science Fund, China (Grant Nos. 61300198 & 61772233).

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Authors and Affiliations

  1. School of Computer Science and Network Security, Dongguan University of Technology, Dongguan, 523808, China

    Chao Qu, Ming Tao, Jie Zhang, Xiaoyu Hong & Ruifen Yuan

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  1. Chao Qu
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  2. Ming Tao
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  3. Jie Zhang
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  4. Xiaoyu Hong
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  5. Ruifen Yuan
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Corresponding author

Correspondence to Ming Tao .

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Editors and Affiliations

  1. Rutgers University–Newark, Newark, NJ, USA

    Jaideep Vaidya

  2. Guangzhou University, Guangzhou, China

    Jin Li

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Qu, C., Tao, M., Zhang, J., Hong, X., Yuan, R. (2018). A Semantic Web Based Intelligent IoT Model. In: Vaidya, J., Li, J. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2018. Lecture Notes in Computer Science(), vol 11336. Springer, Cham. https://doi.org/10.1007/978-3-030-05057-3_14

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  • DOI: https://doi.org/10.1007/978-3-030-05057-3_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05056-6

  • Online ISBN: 978-3-030-05057-3

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