Abstract
In the context of Volunteered Geographic Information (VGI), volunteers are not involved in the decisional processes. Moreover, VGI systems do not offer advanced historical analysis tools. Therefore, in this work, we propose to use Data Warehouse (DW) and OLAP systems to analyze VGI data, and we define a new DW design methodology that allows involving volunteers in the definition of analysis needs over VGI data. We validate it using a real biodiversity case study.
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Farmland biodiversity observatory www.observatoire-agricole-biodiversite.fr.
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Acknowledgment
This work is supported by the project ANR-17-CE04-0012. We thank Pr. Omar Boussaid and Stefano Rizzi for their precious advices.
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Sakka, A., Bimonte, S., Sautot, L., Camilleri, G., Zaraté, P., Besnard, A. (2018). A Volunteer Design Methodology of Data Warehouses. In: Trujillo, J., et al. Conceptual Modeling. ER 2018. Lecture Notes in Computer Science(), vol 11157. Springer, Cham. https://doi.org/10.1007/978-3-030-00847-5_21
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