A Semantic Annotation Method for Network Image

2012 ◽  
Author(s):  
Zhang Zeqing
Keyword(s):  
Semantic Annotation ◽  
Annotation Method

Image Semantic Annotation Method for Weakly Labeled Dataset

2014 ◽  
Vol 24 (10) ◽  
pp. 2405-2418 ◽  
Author(s):  
Feng TIAN ◽  
Xu-Kun SHEN
Keyword(s):  
Semantic Annotation ◽  
Annotation Method

A semi-structured information semantic annotation method for Web pages

2019 ◽  
Vol 32 (11) ◽  
pp. 6491-6501
Author(s):  
Lu Zhang ◽  
Tiantian Wang ◽  
Yiran Liu ◽  
Qingling Duan
Keyword(s):  
Semantic Annotation ◽  
Web Pages ◽  
Annotation Method ◽  
Structured Information

scholarly journals Device-Oriented Automatic Semantic Annotation in IoT

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Fagui Liu ◽  
Ping Li ◽  
Dacheng Deng
Keyword(s):  
Information Integration ◽  
Semantic Annotation ◽  
Semantic Technologies ◽  
Baseline Method ◽  
Annotation Method ◽  
Information Interaction ◽  
Classification Property ◽  
Semantic Label ◽  
Iot Devices ◽  
The Internet Of Things

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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