• 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