• DocumentCode
    2545332
  • Title

    Visualization of researcher´s knowledge structure based on knowledge network

  • Author

    Sun, Lianbin ; Zhang, Pengzhu

  • Author_Institution
    Sch. of Bus., Gannan Normal Univ., Ganzhou, China
  • fYear
    2009
  • fDate
    21-23 Oct. 2009
  • Firstpage
    2067
  • Lastpage
    2071
  • Abstract
    In order to promote intuition and accuracy of researcher´s knowledge representation, this paper is focused on the visualization of knowledge structure based on knowledge network. According to the system science theory, the composition of researcher´s knowledge structure is analyzed. A model of researcher´s knowledge network which represents researcher´s knowledge structure is proposed. This model includes knowledge points, knowledge stocks and relationship between knowledge points. After modeling process of knowledge network which includes modeling of knowledge points, calculating of knowledge stocks, modeling of relationship and hierarchical processing of knowledge network, researcher´s knowledge fields and knowledge sub fields can be discovered. A researcher´s knowledge management prototype system is developed based on the above method. The method makes researcher´s knowledge structure visualized intuitively, objectively and quantitatively, which is validated by a case in the end.
  • Keywords
    data visualisation; knowledge management; network theory (graphs); hierarchical processing; knowledge management prototype system; knowledge network; knowledge representation; knowledge stocks; knowledge structure visualization; modeling process; system science theory; Educational institutions; Investments; Knowledge management; Knowledge representation; Navigation; Project management; Prototypes; Space technology; Sun; Visualization; Knowledge Network; Knowledge Structure; Researcher; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3671-2
  • Electronic_ISBN
    978-1-4244-3672-9
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2009.5344241
  • Filename
    5344241