scholarly journals Probabilistic inference on uncertain semantic link network and its application in event identification

2020 ◽  
Vol 104 ◽  
pp. 32-42
Author(s):  
Wei Li ◽  
Hai Zhuge
Keyword(s):  
Probabilistic Inference ◽  
Event Identification ◽  
Semantic Link ◽  
Semantic Link Network

Advances of the Semantic Link Network

2012 ◽  
Author(s):  
Shenling Wang ◽  
Yunchuan Sun ◽  
Hongyang Zhang ◽  
Xiaofeng Yu ◽  
Rongfang Bie
Keyword(s):  
Semantic Link ◽  
Semantic Link Network

Modeling language and tools for the semantic link network

2008 ◽  
Vol 20 (7) ◽  
pp. 885-902 ◽  
Author(s):  
Hai Zhuge ◽  
Kehua Yuan ◽  
Jin Liu ◽  
Junsheng Zhang ◽  
Xiaofeng Wang
Keyword(s):  
Modeling Language ◽  
Semantic Link ◽  
Semantic Link Network

Micro-Blogging Based Network Growth Model of Semantic Link Network

2014 ◽  
Vol 513-517 ◽  
pp. 2211-2214 ◽  
Author(s):  
Wei Ren ◽  
Yu Hui Qiu
Keyword(s):  
Social Network ◽  
Network Model ◽  
Growth Model ◽  
Real Life ◽  
Network Growth ◽  
Sina Weibo ◽  
Close Analogy ◽  
Interactive Network ◽  
Semantic Link ◽  
Semantic Link Network

This paper studies the network model in SLN by applying the methodology of social network to a widely accepted, real-life user interactive network scenario. The data and experiments are based on micro-blogging (Sina Weibo). Results show that the statistic properties of SLN are in close analogy with that of social network. Contrary to our normal understanding, some nodes with too much semantics (especially under one category) are in decreased chances of having links from newly added nodes.

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