• DocumentCode
    2858488
  • Title

    Modelling Knowledge Learning Based on Extended Topic Map

  • Author

    Li, Guangzheng ; Ren, Wei ; Lu, Huimin

  • Author_Institution
    Maritime Coll., Shandong Jiaotong Univ., Weihai, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the rapid growth of knowledge resources and increasing individual learning demands of users, it has been becoming more and more important to establish a kind of more comprehensible, more available and more application-oriented knowledge learning mechanism. By studying the critical factors in knowledge learning, the paper firstly proposed a novel concept of extended topic map for knowledge learning, it embodies the multi-level, multi-granularity and inherent relevant characteristics of knowledge and realizes knowledge visualization display. And then we defined multi-layer Service-Oriented knowledge architecture with the extended topic map as infrastructure. Additionally, a system framework of the knowledge learning is designed and implemented. Finally, a demonstration is given to display the knowledge learning based on extended topic map.
  • Keywords
    learning (artificial intelligence); software architecture; extended topic map concept; knowledge learning; service-oriented knowledge architecture; Displays; Educational institutions; Electronic learning; ISO standards; Information resources; Learning systems; Navigation; Ontologies; Semantic Web; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5365865
  • Filename
    5365865