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International Conference on Geographic Information Science

GIScience 2014: Geographic Information Science pp 173–186Cite as

Linked Data - A Paradigm Shift for Geographic Information Science

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8728))

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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Author information

Authors and Affiliations

  1. Center for Spatial Studies, University of California, Santa Barbara, CA, USA

    Werner Kuhn

  2. Department of Geography, University of California, Santa Barbara, CA, USA

    Werner Kuhn & Krzysztof Janowicz

  3. Cognitive Systems Group, Universität Bremen, Germany

    Tomi Kauppinen

  4. Department of Media Technology, Aalto University School of Science, Finland

    Tomi Kauppinen

Authors
  1. Werner Kuhn
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  2. Tomi Kauppinen
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  3. Krzysztof Janowicz
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Editor information

Editors and Affiliations

  1. Department of Infrastructure Engineering, The University of Melbourne, 3010, Victoria, Australia

    Matt Duckham

  2. Institute for Geoinformatics (ifgi), University of Münster, Heisenbergstr. 2, 48149, Münster, Germany

    Edzer Pebesma

  3. Department of Geographical and Sustainability Sciences, The University of Iowa, 305 Jessup Hall, 52242, Iowa City, IA, USA

    Kathleen Stewart

  4. Department for Geodesy and Geoinformation Research Group Geoinformation, Vienna University of Technology, Gusshausstr. 27-29, 1040, Vienna, Austria

    Andrew U. Frank

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© 2014 Springer International Publishing Switzerland

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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. https://doi.org/10.1007/978-3-319-11593-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-11593-1_12

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11592-4

  • Online ISBN: 978-3-319-11593-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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