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Abstract
Volunteered Geographic Information (VGI) represents a valuable source of information. At the same time this data presents new data quality issues such as credibility. In this paper, we investigate the integration of VGI in Spatial OLAP (SOLAP) systems, which allow analyzing huge volume of geographic datasets. By means of a real case study, we highlight the similarities and differences of these two kinds of systems. We propose a methodology to handle VGI data quality issues during the warehousing and OLAPing phases. In particular, we define a new aggregation ETL operator based on the VGI credibility. We also present a spatio-multidimensional model that provides decision-makers with a general description of the correctness of the SOLAP aggregations.
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Authors and Affiliations
TSCF, Irstea, 9 avenue Blaise Pascal, CS20085, 63178, Aubière, France
Sandro Bimonte
LSIS, CNRS, Aix Marseille University, Av. Escadrille Normandie-Niemen, 13397, Marseille, France
Omar Boucelma, Olivier Machabert & Sana Sellami
- Sandro Bimonte
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- Omar Boucelma
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- Olivier Machabert
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- Sana Sellami
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Editors and Affiliations
School of Engineering, University of Basilicata, 85100, Potenza, Italy
Beniamino Murgante
Department of Computer and Information Sciences, Covenant University, Ota, Nigeria
Sanjay Misra
Department of Production and Systems, University of Minho, 4710-057, Braga, Portugal
Ana Maria A. C. Rocha
DICAR, Polytecnico di Bari, 70125, Bari, Italy
Carmelo Torre
University of Minho, Braga, Portugal
Jorge Gustavo Rocha & Maria Irene Falcão &
Monash University, 3800, Clayton, VIC, Australia
David Taniar
Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, 813-8503, Higashi-ku, Fukuoka, Japan
Bernady O. Apduhan
Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy
Osvaldo Gervasi
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Bimonte, S., Boucelma, O., Machabert, O., Sellami, S. (2014). From Volunteered Geographic Information to Volunteered Geographic OLAP: A VGI Data Quality-Based Approach. In: Murgante, B.,et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8582. Springer, Cham. https://doi.org/10.1007/978-3-319-09147-1_6
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