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Quality improvement framework for business oriented geo-spatial data
British Telecommun PLC, London, England..
Dalarna University, School of Technology and Business Studies, Information Systems.ORCID iD: 0000-0003-3681-8173
2015 (English)In: Web Information Systems Engineering - WISE 2014 workshops, Berlin: Springer Berlin/Heidelberg, 2015, Vol. 9051, 239-249 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Berlin: Springer Berlin/Heidelberg, 2015. Vol. 9051, 239-249 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9051
National Category
Computer Science
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-20282DOI: 10.1007/978-3-319-20370-6_19ISI: 000363774800019ISBN: 978-3-319-20370-6 (print)ISBN: 978-3-319-20369-0 (print)OAI: oai:DiVA.org:du-20282DiVA: diva2:873056
Conference
15th International Conference on Web Information Systems Engineering (WISE), OCT 12-14, 2014, Thessaloniki, GREECE
Available from: 2015-11-23 Created: 2015-11-23 Last updated: 2017-03-30Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf