Service community construction method of internet of things based on semantic similarity |
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Authors: | Wang Yang Zhang Linjing Huang Yakun Zhao Baohua Zhao Chuanxin |
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Affiliation: | 1. Department of Computer Science, Anhui Normal University, Wuhu 241000, China;Department of Computer Science and Technology, University of Science and Technology of China,Hefei 231600, China 2. Department of Computer Science, Anhui Normal University, Wuhu 241000, China 3. Department of Computer Science and Technology, University of Science and Technology of China |
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Abstract: | Internet of Things (IoT) as an important and ubiquitous service paradigm is one of the most important issues in IoT applications to provide terminal users with effective and efficient services based on service community. This paper presents a semantic-based similarity algorithm to build the IoT service community. Firstly, the algorithm reflects that the nodes of IoT contain a wealth of semantic information and makes them to build into the concept tree. Then tap the similarity of the semantic information based on the concept tree. Finally, we achieve the optimization of the service community through greedy algorithm and control the size of the service community by adjusting the threshold. Simulation results show the effectiveness and feasibility of this algorithm. |
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Keywords: | Key words Internet of Things (IoT) Service community Semantic similarity Concept tree |
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