Affiliation:
1. School of Computer Science & Engineering, South China University of Technology, Guangzhou, China
Abstract
Semantic technologies are the keys to address the problem of information interaction between assorted, heterogeneous, and distributed devices in the Internet of Things (IoT). Semantic annotation of IoT devices is the foundation of IoT semantics. However, the large amount of devices has led to the inadequacy of the manual semantic annotation and stressed the urgency into the research of automatic semantic annotation. To overcome these limitations, a device-oriented automatic semantic annotation method is proposed to annotate IoT devices’ information. The processes and corresponding algorithms of the automatic semantic annotation method are presented in detail, including the information extraction, text classification, property information division, semantic label selection, and information integration. Experiments show that our method is effective for the automatic semantic annotation to IoT devices’ information. In addition, compared to a typical rule-based method, the comparison experiment demonstrates that our approach outperforms this baseline method with respect to the precision and F-measure.
Funder
Engineering and Technology Research Center of Guangdong Province for Logistics Supply Chain and Internet of Things
Subject
Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering
Cited by
16 articles.
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