• DocumentCode
    591924
  • Title

    KeaKAT: An Online Automatic Keyphrase Assignment Tool

  • Author

    Irfan, Rizwana ; Khan, Sharifullah ; Khan, Iqbal A. ; Ali, M.A.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci. (SEECS), Nat. Univ. of Sci. & Technol. (NUST), Islamabad, Pakistan
  • fYear
    2012
  • fDate
    17-19 Dec. 2012
  • Firstpage
    30
  • Lastpage
    34
  • Abstract
    Kea++ is a well known tool for assigning key phrases to documents. But Kea++ contains noise and irrelevant terms in the key phrase result set. The extended refinement methodology was developed to fine tune the results of Kea++ for multiple domains. However using Kea++ and its refinement as a system for assigning key phrases to documents is not simple for users of a domain other than computing. The system needs to be installed and configured. It does not have any GUI to facilitate users in assigning key phrases. The objective of the Kea KAT is to develop a web-based key phrase assignment tool to facilitate users in assigning relevant key phrases to their documents online. Kea KAT saves users not only from installing and configuring the system, but also improves the usability of the system.
  • Keywords
    Internet; document handling; Kea++; KeaKAT; Web-based key phrase assignment tool; documents; extended refinement methodology; key phrase result set; online automatic keyphrase assignment tool; Graphical user interfaces; Taxonomy; Training; Usability; Vocabulary; XML; Keyphrase assignment; classification system; information extraction; usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers of Information Technology (FIT), 2012 10th International Conference on
  • Conference_Location
    Islamabad
  • Print_ISBN
    978-1-4673-4946-8
  • Type

    conf

  • DOI
    10.1109/FIT.2012.14
  • Filename
    6424293