SERVICE COMMUNITY CONSTRUCTION METHOD OF INTERNET OF THINGS BASED ON SEMANTIC SIMILARITY

查看全文 作　　者：Wang [1,2]Yang;Zhang [1]Linjing;Huang [1]Yakun;Zhao [2]Baohua;Zhao [1]Chuanxin

机构地区：[1]Department of Computer Science, Anhui Normal University;[2]Department of Computer Science and Technology, University of Science and Technology of China

出　　处：《Journal of Electronics(China)》索引2013年第30卷第1期,共8页

基　　金：Supported by the China Postdoctoral Science Foundation(No. 20100480701);the Ministry of Education of Humanities and Social Sciences Youth Fund Project(11YJC880119) 摘　　要：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. 关键词：服务模式语义相似度社区建设物联网贪婪算法语义信息终端用户仿真结果

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SERVICE COMMUNITY CONSTRUCTION METHOD OF INTERNET OF THINGS BASED ON SEMANTIC SIMILARITY

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