Research and Application of the Internet of Things Service Platform Based on Semantic Network

Research and Application of the Internet of Things Service Platform Based on Semantic Network

Min Ren
Copyright: © 2022 |Pages: 7
DOI: 10.4018/IJDST.308004
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Abstract

In order to study the Internet of Things service platform based on semantic Network, a service-oriented clustering labeling method is proposed, firstly, a semantic Web service similarity computing method is proposed to solve the shortcomings of the existing methods. This method describes the designed semantic Web service annotation clustering algorithm based on AP algorithm. The distance matrix and related parameters of the algorithm are calculated and assigned according to the results of similarity calculation. The correctness of preference parameter selection will be compared and verified in the service discovery system. The greater the value of damping coefficient, the more iterations, and the slower the convergence rate. However, when the value of damping coefficient is 0.7, the number of iterations is moderate and the convergence rate is the best, which proves that this method has a better effect on service function matching.
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Compared with the Internet, the internet of things has four characteristics: (1) the internet of things can acquire real-time perception data and information of the physical world through perception technology, so as to know the changes of objects in the physical world all the time (Ensafi, R. 2015;Chen, W. 2016; Yang, D. 2017; Peng, 2020). (2) Although the internet of things has a huge network scale and a variety of terminal devices, its technology is still based on the Internet. Because real - time information between objects needs to be supported by the Internet. (3) The internet of things can not only perceive data and information in the physical world, but also control objects intelligently through intelligent processing of perceived data and information. (4) The network related to physical devices is very important for the internet of things, which has high requirements for network stability; In addition, good control and security measures are needed to ensure the security of personal privacy or trade secrets (Yi, Y, 2015). However, although IoT technology has received extensive attention and support from academia and industry, there are few industries that can apply IoT technology well at present. One of the reasons for this is the difficulty of information transmission and processing in the internet of things. The application of semantic technology provides a new solution. The application of semantic technologies can enhance resource analysis, automation, and interoperability between resources and devices. Semantic technology is a key technology to solve the problem of collaboration and integration of heterogeneous systems.

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