• DocumentCode
    2263431
  • Title

    A framework to leverage domain expertise to support novice users in the visual exploration of Home Area Networks

  • Author

    Yuqian Song ; Keeney, John ; Conlan, Owen

  • Author_Institution
    Sch. of Comput. Sci. & Stat., Trinity Coll. Dublin, Dublin, Ireland
  • fYear
    2012
  • fDate
    16-20 April 2012
  • Firstpage
    550
  • Lastpage
    553
  • Abstract
    Advances in modern technologies have afforded end-users increased convenience in performing everyday activities. However, even seemingly trivial issues can cause great annoyance for the ordinary user who lacks domain expertise of the often complex systems that underpin these advances. A key challenge lies in assisting non-expert users to express their requirements of an obscure and complex system. This research proposes a semantic approach by using domain expert knowledge to enable real time semantic up-lift in supporting novice end-users to understand and control the complex dynamic systems they must manage. This presents a significant opportunity to increase user satisfaction and reduce associated support costs. This semantic approach has been designed and implemented in an early prototype of our Home Area Network Monitoring System (HANMS). This paper presents a detailed description of the current state of the research, an initial evaluation, and future work.
  • Keywords
    computer network management; expert systems; large-scale systems; local area networks; HANMS; complex dynamic systems; domain expert knowledge; domain expertise; home area network monitoring system; novice end user support; real time up-lift; user satisfaction; visual exploration; Antennas; Knowledge engineering; Monitoring; Prototypes; Real time systems; Semantics; Visualization; formatting; insert; style; styling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (NOMS), 2012 IEEE
  • Conference_Location
    Maui, HI
  • ISSN
    1542-1201
  • Print_ISBN
    978-1-4673-0267-8
  • Electronic_ISBN
    1542-1201
  • Type

    conf

  • DOI
    10.1109/NOMS.2012.6211953
  • Filename
    6211953