Semantic Annotation Method of Clothing Image

Author(s):  
Lu Zhaolao ◽  
Mingquan Zhou ◽  
Wang Xuesong ◽  
Fu Yan ◽  
Tan Xiaohui
2014 ◽  
Vol 24 (10) ◽  
pp. 2405-2418 ◽  
Author(s):  
Feng TIAN ◽  
Xu-Kun SHEN

2019 ◽  
Vol 32 (11) ◽  
pp. 6491-6501
Author(s):  
Lu Zhang ◽  
Tiantian Wang ◽  
Yiran Liu ◽  
Qingling Duan

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Fagui Liu ◽  
Ping Li ◽  
Dacheng Deng

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.


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