A semantic similarity calculation model for event ontology mapping

Author(s):  
Yue Tan ◽  
Wei Liu ◽  
Xu Wang
2012 ◽  
Vol 263-266 ◽  
pp. 1588-1592
Author(s):  
Jiu Qing Li ◽  
Chi Zhang ◽  
Peng Zhou Zhang

To solve resource-tagging inefficiency and low-precision retrieval in special field, an analysis method of tag semantic relevancy based on controlled database was proposed. The characteristic of special field and building method for controlled database were discussed. Domain ontology correlation calculation method was used to get semantic correlation. The tag semantic similarity calculation method was developed for semantic similarity, and normalization was used to increase the similarity accuracy. With semantic correlation and similarity as parameters, the semantic relevancy in special field can be obtained. This method was used successfully in the special field of actual projects, improved resource-tagging and retrieval efficiency.


2013 ◽  
Vol 748 ◽  
pp. 967-971
Author(s):  
Wei Gao ◽  
Tian Wei Xu ◽  
Li Liang ◽  
Jian Hou Gan

Ontology similarity calculation and ontology mapping are important research topics in information retrieval. One method for ontology similarity measure is using multi-dividing approach. Assume that the notation and terminology used but undefined in this paper can be found in [4] and [5]. We show that the assumption of strict ordering of xi*can be relaxed to allow some ties in the likelihood ratio. The same proof remains true if we consider equivalence classes defined by the likelihood ratio and relabel xi* as its equivalence class denoted by [xi*].


2010 ◽  
Vol 5 (7) ◽  
pp. 17-23 ◽  
Author(s):  
Cheng Xianyi ◽  
Sun Ping ◽  
Zhu Qian ◽  
Cai Yuehong

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