• DocumentCode
    2891974
  • Title

    Ontology Based Metadata Interoperable Aggregator for the Large Scaled Image Retrieval Supporting Multiple Schemas

  • Author

    Shin, Saim ; Lim, Tae-Beom ; Lee, Seok-pil

  • Author_Institution
    Digital Media Res. Center, Korea Electron. Technol. Inst., Seoul, South Korea
  • fYear
    2009
  • fDate
    24-26 Nov. 2009
  • Firstpage
    168
  • Lastpage
    171
  • Abstract
    In this paper, we review the system framework for the interoperability with JPSearch image search and retrieval technonlogies. More specifically, we specifies the core skeleton of the lexical resource ontology which contains the semantic relations between metadata schemas, and also a mechanism to add / update /delete the information in the ontology for helping transformation between schemas and queries.
  • Keywords
    image retrieval; meta data; ontologies (artificial intelligence); search engines; JPSearch image search; core skeleton; large scaled image retrieval; lexical resource ontology; ontology based metadata interoperable aggregator; semantic relations; Content management; Data models; Image retrieval; Information management; Information retrieval; Information technology; MPEG 7 Standard; Ontologies; Skeleton; XML; image retrieval; metadata interoperability; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Sciences and Convergence Information Technology, 2009. ICCIT '09. Fourth International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-5244-6
  • Electronic_ISBN
    978-0-7695-3896-9
  • Type

    conf

  • DOI
    10.1109/ICCIT.2009.41
  • Filename
    5367969