• DocumentCode
    2799288
  • Title

    The Artificial Intelligence in Personal Knowledge Management

  • Author

    Diao, Lixin ; Zuo, Mingzhang ; Liu, Qiang

  • Author_Institution
    Inf. & Technol. Dept., Central China Normal Univ., Wuhan, China
  • Volume
    3
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 1 2009
  • Firstpage
    327
  • Lastpage
    329
  • Abstract
    With the development of the society, it is necessary to apply artificial intelligence to personal knowledge management. This paper researches on it. At first, this paper introduces the meaning of personal knowledge management and the meaning of artificial intelligence. And then introduce the problems in personal knowledge management at present. There are three problems:(1) The problem of information overload. (2) The problem of unstructured information. (3) The problem of tacit knowledge. At third, in order to solve these problems, introduce the application of artificial intelligence in personal knowledge management. The applications are: (1)The intelligent search of knowledge. (2) The automatic classification of knowledge. (3) The conversion of tacit knowledge. This paper explains the application detailed. Finally, summarize that the application of artificial intelligence in personal knowledge management is still at the initial stage, but it has a beautiful future.
  • Keywords
    knowledge management; artificial intelligence; automatic knowledge classification; information overload; personal knowledge management; tacit knowledge; unstructured information; Artificial intelligence; Biological information theory; Biological system modeling; Biology; Computational modeling; Computer science; Humans; Knowledge management; Machine intelligence; Psychology; artificial; intelligence; personal knowledge management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3888-4
  • Type

    conf

  • DOI
    10.1109/KAM.2009.269
  • Filename
    5362301