• DocumentCode
    568810
  • Title

    An RDF model for meteorological and oceanographic information systems

  • Author

    Danyaro, K.U. ; Jaafar, Jafreezal ; Liew, M.S.

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • Volume
    1
  • fYear
    2012
  • fDate
    12-14 June 2012
  • Firstpage
    480
  • Lastpage
    484
  • Abstract
    This paper suggests an RDF Model for effective management of distributed data on the Semantic Web. Resource Description Framework (RDF) is a data model that unifies aptly structured data. The Web is facing great challenge in data retrieval due to the increase and request of information from different sources. This brings the problem of information overload. In minimizing this problem, we provide a knowledge model for structuring data which is the first step of building Semantic Web. In particular, to elucidate the model, Meteorological and Oceanographic (MetOcean) data have been used. We present the result using SPARQL query method. Thus, the finding shows that the model is ideal for querying and data representation of distributed data.
  • Keywords
    data structures; geophysics computing; information retrieval; information systems; meteorology; oceanography; semantic Web; MetOcean data; Meteorological and Oceanographic; RDF model; SPARQL query method; data model; data representation; distributed data querying; meteorological information systems; oceanographic information systems; resource description framework; semantic Web; structured data; Computers; Information science; MetOcean; RDF Model; Resource Description Framework (RDF); Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer & Information Science (ICCIS), 2012 International Conference on
  • Conference_Location
    Kuala Lumpeu
  • Print_ISBN
    978-1-4673-1937-9
  • Type

    conf

  • DOI
    10.1109/ICCISci.2012.6297293
  • Filename
    6297293