• DocumentCode
    506680
  • Title

    A new algorithm based on word co-occurrence and its application in domain concept extraction

  • Author

    Xian-Ming, Yao ; Jian-Yi, Guo ; Zheng-tao, Yu ; Yi-Hao, Zhang ; Zhi-Kun, Zhang ; Cun-li, Mao

  • Author_Institution
    Sch. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
  • Volume
    3
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    521
  • Lastpage
    525
  • Abstract
    This paper puts forward an algorithm named CFE (co-occurrence frequency emphasized) for new concept selection which based on word co-occurrence, it has been applied to domain concept extraction. This algorithm grasps the central idea of word co-occurrence rigidly. In the process of concept extracting, the co-occurrence frequency is taken as the basis of new concept selection, and the impact of absolute frequency to domain concept selection is taken into account. It is able to guarantee each candidate word will fairly get the opportunity of being selected as new concept. According to the data of the tests, a good result has been achieved.
  • Keywords
    natural language processing; co-occurrence frequency emphasized algorithm; concept selection; domain concept extraction; word co-occurrence; Automation; Buildings; Data mining; Dictionaries; Frequency; Knowledge management; Knowledge representation; Ontologies; Proposals; Testing; Absolute Frequency; CFE; Co-occurrence Frequency; component; domain concept; word co-occurrence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358128
  • Filename
    5358128