• DocumentCode
    598564
  • Title

    Horizontal Search Method for Wikipedia Category Grouping

  • Author

    Myunggwon Hwang ; Kim, D.J. ; Do-Heon Jeong ; Sa-kwang Song ; Hanmin Jung ; Hoon Ko

  • Author_Institution
    Korea Inst. of Sci. & Technol. Inf. KISTI, Daejeon, South Korea
  • fYear
    2012
  • fDate
    20-23 Nov. 2012
  • Firstpage
    717
  • Lastpage
    721
  • Abstract
    Category hierarchies, which show the basic relationship between concepts, are utilized as fundamental clues for semantic information processing in diverse research fields. These research works have employed Wikipedia due to its high coverage of real-world concepts and data reliability. Wikipedia also constructs a category hierarchy, and defines various categories according to the common characteristics of a concept. However, some limitations have been uncovered in the use of a vertical search (especially top-down) to form a set of domain categories. In order to overcome these limitations, this paper proposes a horizontal search method, and uses Wikipedia components to measure the similarity between categories. In an experimental evaluation, we confirm that our method shows a wide coverage and high precision for similar (domain) category grouping.
  • Keywords
    Web sites; information retrieval; search problems; category hierarchy; category similarity; data reliability; domain categories; horizontal search method; semantic information processing; similar category grouping; similar domain grouping; wikipedia category grouping; Electronic publishing; Encyclopedias; Search methods; Semantic Web; Semantics; Wikipedia category; category grouping; horizontal search; similarity measure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2012 IEEE International Conference on
  • Conference_Location
    Besancon
  • Print_ISBN
    978-1-4673-5146-1
  • Type

    conf

  • DOI
    10.1109/GreenCom.2012.117
  • Filename
    6468397