• DocumentCode
    2197346
  • Title

    Why linked data should not lead to next generation SDI

  • Author

    Schade, Sven ; Smits, Paul

  • Author_Institution
    Digital Earth & Reference Data Unit, Eur. Comm. - Joint Res. Centre, Belgium
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2894
  • Lastpage
    2897
  • Abstract
    The Semantic Web, in particular through the application of Linked Data principles, has found its way into mainstream Information Technology (IT) and in specialized fields, such as geospatial information management. The time is right to reflect on the lessons learned, and to assess if these web-based solutions should be seen as a new generation of expert systems. In this paper, we do this by focusing on Spatial Data Infrastructure (SDI)-related activities. We conclude that novel possibilities for semantic integration should be used to open-up the current information silos, rather than for improving internal re-organization. We recommend capitalizing on Linked Data principles in order to augment environmental and other spatial-temporal data with information from complementary sectors, such as transport, health and energy - and vice versa.
  • Keywords
    expert systems; geographic information systems; information technology; semantic Web; spatial data structures; IT; Web-based solutions; expert systems; geospatial information management; information technology; internal reorganization; linked data; next generation SDI; semantic Web; spatial data infrastructure; Communities; Europe; Geospatial analysis; Semantic Web; Semantics; Spatial databases; Geographic Information Systems; Geoscience; Information Management; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350721
  • Filename
    6350721