• DocumentCode
    2626036
  • Title

    Conflict Detection and Resolution in Merging of Topic Maps

  • Author

    Chung, Hyun-Sook ; Kim, Jung-Min

  • Author_Institution
    Chosun Univ., Seoul
  • fYear
    2007
  • fDate
    21-23 Nov. 2007
  • Firstpage
    907
  • Lastpage
    912
  • Abstract
    Merging between topic maps describes the process of integrating two topic maps into a new topic map. In this paper, we propose a specific ontology merging process for integrating two source topic maps into a new topic map based on given semantic correspondences. Also, we define a taxonomy of merging conflicts which occur during the process of topic maps merging and a method for detecting and resolving them. Our experiments show that the automatic merging module compared with manual merging by an expert has advantages in terms of time and effort.
  • Keywords
    merging; ontologies (artificial intelligence); automatic merging module; conflict detection; conflict resolution; ontology merging process; semantic correspondence; topic maps integration; topic maps merging; Data mining; Encyclopedias; ISO standards; Information resources; Information technology; Iterative algorithms; Merging; Navigation; Ontologies; Taxonomy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Convergence Information Technology, 2007. International Conference on
  • Conference_Location
    Gyeongju
  • Print_ISBN
    0-7695-3038-9
  • Type

    conf

  • DOI
    10.1109/ICCIT.2007.328
  • Filename
    4420375