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International Conference on Web Information Systems Engineering

WISE 2014: Web Information Systems Engineering – WISE 2014 Workshops pp 239–249Cite as

Quality Improvement Framework for Business Oriented Geo-spatial Data

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9051))

Abstract

In the past few years, Geo-spatial data quality has received increasing attention and concerns. As more and more business decisions are made based on data analytic result from geo-spatial related data, low quality data means wrong or inappropriate decisions, which could have substantial effects on a business’s future. In this paper, we propose a framework that can systematically ensure and improve geo-spatial data quality throughout the whole life cycle of data.

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Notes

  1. 1.

    www.esri.com.

  2. 2.

    Spatial Data Transfer Standard, http://mcmcweb.er.usgs.gov/sdts/.

  3. 3.

    https://www.mturk.com/.

  4. 4.

    https://developers.google.com/maps/documentation/geocoding/.

  5. 5.

    http://msdn.microsoft.com/en-us/library/ff701715.aspx.

  6. 6.

    http://www.gisgraphy.com/.

  7. 7.

    http://www.ordnancesurvey.co.uk/.

  8. 8.

    http://census.ukdataservice.ac.uk/use-data/guides/boundary-data.aspx.

  9. 9.

    http://www.ons.gov.uk/ons/index.html.

  10. 10.

    http://www.geonames.org/.

  11. 11.

    http://edina.ac.uk/unlock/.

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Author information

Authors and Affiliations

  1. British Telecom, London, UK

    Xiaofeng Du

  2. Dalarna University, Falun, Sweden

    William Song

Authors
  1. Xiaofeng Du
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  2. William Song
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Corresponding author

Correspondence to Xiaofeng Du .

Editor information

Editors and Affiliations

  1. University of New South Wales, Sydney, Australia

    Boualem Benatallah

  2. Boston University, Boston, Massachusetts, USA

    Azer Bestavros

  3. University of Genova, Genova, Italy

    Barbara Catania

  4. CSIRO ICT Centre, Canberra, Australia

    Armin Haller

  5. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Yannis Manolopoulos

  6. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Athena Vakali

  7. Victoria University, Footscray, Australia

    Yanchun Zhang

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Du, X., Song, W. (2015). Quality Improvement Framework for Business Oriented Geo-spatial Data. In: Benatallah, B., et al. Web Information Systems Engineering – WISE 2014 Workshops. WISE 2014. Lecture Notes in Computer Science(), vol 9051. Springer, Cham. https://doi.org/10.1007/978-3-319-20370-6_19

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  • DOI: https://doi.org/10.1007/978-3-319-20370-6_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20369-0

  • Online ISBN: 978-3-319-20370-6

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