• DocumentCode
    147502
  • Title

    A learning environment based on knowledge storage and retrieval using concept maps

  • Author

    Rudraraju, Ramaraju ; Najim, Luai ; Gurupur, Varadraj P. ; Tanik, Murat M.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Alabama at Birmingham, Birmingham, AL, USA
  • fYear
    2014
  • fDate
    13-16 March 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In today´s digital age, a plethora of websites host knowledge related to various professions. Individuals working in different professions in turn consume this knowledge either to advance their skills or to accomplish their professional responsibilities. As this knowledge is continuously evolving, both in terms of size and content, the process used for acquiring the knowledge becomes important. Concept maps are proven to explicitly facilitate meaningful learning for all age groups. In this paper we propose a new knowledge integration process, implemented using a learning environment that facilitates meaningful learning by enabling the users to make a connection between newly gained and existing knowledge using concept maps. We also discuss an algorithm to construct a meta-map in order to represent collective information related to a topic and explain the various ways to extract valuable information from it.
  • Keywords
    information retrieval; knowledge acquisition; search engines; social networking (online); concept maps; information retrieval; knowledge acquisition; knowledge integration; knowledge storage; learning environment; search engines; social networking; Classification algorithms; Computers; Measurement; Multimedia communication; Concept maps; bookmarks; information retrieval; recommender systems; search engines; social networking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SOUTHEASTCON 2014, IEEE
  • Conference_Location
    Lexington, KY
  • Type

    conf

  • DOI
    10.1109/SECON.2014.6950655
  • Filename
    6950655