Linked Data - A Paradigm Shift for Geographic Information Science

  • Werner Kuhn
  • Tomi Kauppinen
  • Krzysztof Janowicz
Conference paper

DOI: 10.1007/978-3-319-11593-1_12

Volume 8728 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Kuhn W., Kauppinen T., Janowicz K. (2014) Linked Data - A Paradigm Shift for Geographic Information Science. In: Duckham M., Pebesma E., Stewart K., Frank A.U. (eds) Geographic Information Science. GIScience 2014. Lecture Notes in Computer Science, vol 8728. Springer, Cham

Abstract

The Linked Data paradigm has made significant inroads into research and practice around spatial information and it is time to reflect on what this means for GIScience. Technically, Linked Data is just data in the simplest possible data model (that of triples), allowing for linking records or data sets anywhere across the web using controlled semantics. Conceptually, Linked Data offers radically new ways of thinking about, structuring, publishing, discovering, accessing, and integrating data. It is of particular novelty and value to the producers and users of geographic data, as these are commonly thought to require more complex data models. The paper explains the main innovations brought about by Linked Data and demonstrates them with examples. It concludes that many longstanding problems in GIScience have become approachable in novel ways, while new and more specific research challenges emerge.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Werner Kuhn
    • 1
    • 2
  • Tomi Kauppinen
    • 3
    • 4
  • Krzysztof Janowicz
    • 2
  1. 1.Center for Spatial StudiesUniversity of CaliforniaSanta BarbaraUSA
  2. 2.Department of GeographyUniversity of CaliforniaSanta BarbaraUSA
  3. 3.Cognitive Systems GroupUniversität BremenGermany
  4. 4.Department of Media TechnologyAalto University School of ScienceFinland