Augmenting SDI with Linked Data

نویسندگان

  • Sven Schade
  • Carlos Granell
  • Laura Díaz
چکیده

Spatiotemporal data is provided and consumed by many different communities, reaching from groups of environmental experts, over decision makers, to the public. Due to heterogeneous conceptual and technological approaches, cross-community communication and cooperation remains challenging. Linked Data has been suggested as a means to enable interoperability and first experiments indicate suitability. In this paper, we discuss how solutions for spatiotemporal data management, specifically Spatial Data Infrastructures (SDI), can be augmented with Linked Data principles. We identify two common usage scenarios and conclude that only minor changes to current SDI standards are required for implementation and identify actions for future work.

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تاریخ انتشار 2010