• DocumentCode
    1845161
  • Title

    Mining for Patterns of Semantic Link Usage: Do Domain Users Actually Like Semantic Browsing?

  • Author

    Quincey, Ed de ; Oliver, Helen ; Kostkova, Patty ; Jawaheer, Gawesh ; Madle, Gemma ; Diallo, Gayo ; Alexopoulou, Dimitra ; Schroeder, Michael ; Habermann, Bianca ; Khelif, Khaled ; Jupp, Simon ; Stevens, Robert

  • Volume
    3
  • fYear
    2009
  • fDate
    15-18 Sept. 2009
  • Firstpage
    50
  • Lastpage
    53
  • Abstract
    A perceived limitation of the current Web is that it is comprised of static links with no connection to any underlying domain knowledge. The Semantic Web is seen as a potential solution to this problem by delivering semantically related information to users dynamically. However, the benefit to users is rarely questioned and there have been few real-world user evaluations of semantic systems. In this paper we present a user-centred evaluation of three Semantic Web Browsers (SWB) that have been extended as part of the Sealife project. The results presented are based on analysis of the server logs from each application in relation to time taken to perform pre-defined tasks along with the amount of semantic activity carried out. It was found that the user experience was dependent on the SWB used but there was some indication users will be able to find information more quickly and that users will explore semantic features if present.
  • Keywords
    Performance analysis; Semantic Web; Semantic Web; User-centred Evaluation; Web Log Analysis;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on
  • Conference_Location
    Milan, Italy
  • Print_ISBN
    978-0-7695-3801-3
  • Electronic_ISBN
    978-1-4244-5331-3
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2009.228
  • Filename
    5285090