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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, 2015, 239-249 p.Conference 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
2015. 239-249 p.
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9051
National Category
Computer Science
Research subject
Complex Systems – Microdata Analysis
URN: urn:nbn:se:du-20282DOI: 10.1007/978-3-319-20370-6_19ISI: 000363774800019ISBN: 978-3-319-20370-6; 978-3-319-20369-0OAI: oai:DiVA.org:du-20282DiVA: diva2:873056
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: 2016-01-11Bibliographically approved

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