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Linked Geospatial Data

Book cover Encyclopedia of Big Data Technologies

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Abstract

Huge amounts of geospatial data have been made freely available recently on the Web, for example, maps from geospatial search engines like Google Maps, images from satellites, open geospatial data from national cartographic agencies, and user-contributed geospatial content from social networks. This article surveys the state of the art in the area of linked geospatial data, i.e., geospatial data made available on the Web using linked data technologies such as RDF and SPARQL and interlinked with other Web data to increase its value for users and applications.

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Authors and Affiliations

  1. Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece

    Manolis Koubarakis, Konstantina Bereta & George Stamoulis

  2. Department of Computer Science, University of Oxford, Oxford, UK

    Charalampos Nikolaou

Authors
  1. Manolis Koubarakis
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  2. Konstantina Bereta
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  3. Charalampos Nikolaou
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  4. George Stamoulis
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Corresponding author

Correspondence to Manolis Koubarakis .

Editor information

Editors and Affiliations

  1. School of Comp. Sci. and Engineering, University of New South Wales School of Comp. Sci. and Engineering, Eveleigh, New South Wales, Australia

    Sherif Sakr

  2. Sch of Info Techno, Building J12, University of Sydney Sch of Info Techno, Building J12, Sydney, Australia

    Albert Zomaya

Section Editor information

  1. Data Science Research Institute, Swinburne University of Technology, Melbourne, Australia

     & Timos Sellis & Aamir Cheema

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Koubarakis, M., Bereta, K., Nikolaou, C., Stamoulis, G. (2018). Linked Geospatial Data. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_71-1

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  • DOI: https://doi.org/10.1007/978-3-319-63962-8_71-1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63962-8

  • Online ISBN: 978-3-319-63962-8

  • eBook Packages: Springer Reference MathematicsReference Module Computer Science and Engineering

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Chapter history

  1. Latest

    Linked Geospatial Data
    Published:
    26 November 2022

    DOI: https://doi.org/10.1007/978-3-319-63962-8_71-3

  2. Linked Geospatial Data
    Published:
    15 February 2018

    DOI: https://doi.org/10.1007/978-3-319-63962-8_71-1

  3. Original

    Linked Geospatial Data
    Published:
    24 February 2012

    DOI: https://doi.org/10.1007/978-3-319-63962-8_71-2

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