DocumentCode
2892720
Title
A Novel Approach for Measuring Chinese Terms Semantic Similarity Based on Pairwise Sequence Alignment
Author
Xu, Shuo ; Zhu, Li-jun ; Qiao, Xiao-dong ; Xue, Cun-xiang
Author_Institution
Inf. Technol. Supporting Centre, Inst. of Sci. & Tech. Inf. of China, Beijing, China
fYear
2009
fDate
12-14 Oct. 2009
Firstpage
92
Lastpage
98
Abstract
In this study, we first give a problem formulation for Chinese terms semantic similarity calculation. After that, on closer examination, we find that the traditional approach makes an implicit assumption that the order of corresponding primitive terms for two terms is roughly consistent. In other words, it doesn´t consider how the difference in the order affects the quality of correspondence. To overcome this problem, a novel approach based on pairwise sequence alignment is proposed. Finally, an experimental evaluation is conducted, and the result indicates that our approach outperforms or matches at least the traditional one in the majority of cases.
Keywords
character recognition; Chinese terms semantic similarity calculation; pairwise sequence alignment; primitive terms; Automobiles; Automotive engineering; Databases; Information management; Information retrieval; Information technology; Lamps; Machine intelligence; Taxonomy; Vehicles; Semantic Knowledge Database; Semantic Similarity Calculation; Sequence Alignment;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grid, 2009. SKG 2009. Fifth International Conference on
Conference_Location
Zhuhai
Print_ISBN
978-0-7695-3810-5
Type
conf
DOI
10.1109/SKG.2009.34
Filename
5368029
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