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Geospatial Future Is Open: Lessons Learnt from Applications Based on Open Data

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Computational Science and Its Applications -- ICCSA 2016 (ICCSA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9788))

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Abstract

Thirty five years ahead of the beginning of Open Data initiative, it is appropriate to evaluate the added value of such data and to reflect on how these can be exploited according to citizens’ needs. This paper illustrates some first findings and lessons learnt during a research conducted on the use and re-use of geospatial Open Data by means of Virtual Hubs - an innovative method for brokering of geo-spatial information. Modern applications (APPs) related to topography, mapping of land use but also to historic maps and data of daily importance (including health facilities) are here examined so as to evaluate their thematic field of interest, the requirements of the end-users and the potential added value of Volunteered Geographic Information (VGI) in such context. The study finally evaluates the scale of impact and the level of awareness of developers towards a larger policy framework or their APPs.

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Acknowledgements

The research leading to the results of this paper is partially funded under the ICT Policy Support Programme (ICT PSP - CIP) (Grant Agreement no. 620400).

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Authors and Affiliations

  1. Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Milan, Italy

    Branka Cuca

Authors
  1. Branka Cuca
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Correspondence to Branka Cuca .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  5. Polytechnic University, Bari, Italy

    Carmelo M. Torre

  6. Monash University, Clayton, Victoria, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  9. Beijing University of Posts and Telecommunications, Beijing, China

    Shangguang Wang

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Cuca, B. (2016). Geospatial Future Is Open: Lessons Learnt from Applications Based on Open Data. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9788. Springer, Cham. https://doi.org/10.1007/978-3-319-42111-7_39

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  • DOI: https://doi.org/10.1007/978-3-319-42111-7_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42110-0

  • Online ISBN: 978-3-319-42111-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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