spatial data warehouses
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Semantic Web ◽  
2018 ◽  
Vol 9 (5) ◽  
pp. 557-587 ◽  
Author(s):  
Nurefşan Gür ◽  
Torben Bach Pedersen ◽  
Esteban Zimányi ◽  
Katja Hose

2016 ◽  
pp. 485-501
Author(s):  
Sandro Bimonte ◽  
Omar Boucelma ◽  
Olivier Machabert ◽  
Sana Sellami

Spatial data warehouses (SDW) and spatial OLAP (SOLAP) systems are well-known business intelligence technologies that aim to support a multidimensional and online analysis for a large volume of geo-referenced datasets. SOLAP systems are already used in the context of natural hazards for analyzing sensor data and experts' measurements. Recently, new data gathering tools coined as volunteered geographic information systems (VGI) have been adopted especially by non-expert users. Hence, (spatial) application development is facing a new challenge, which is the integration of expert-oriented data with citizen-provided data. In this paper, we propose a new generic spatio-multidimensional model based on the question/answer risk evaluation model that allows the integration of VGI data with classical SDW and SOLAP systems for the online analysis of natural hazards monitored by volunteers.


Author(s):  
Nurefşan Gür ◽  
Katja Hose ◽  
Torben Bach Pedersen ◽  
Esteban Zimányi

2015 ◽  
Vol 34 (3) ◽  
pp. 425-461 ◽  
Author(s):  
Rodrigo Costa Mateus ◽  
Thiago Luís Lopes Siqueira ◽  
Valéria Cesário Times ◽  
Ricardo Rodrigues Ciferri ◽  
Cristina Dutra de Aguiar Ciferri

2014 ◽  
Vol 8 (12) ◽  
pp. 970-988 ◽  
Author(s):  
Myoung-Ah Kang ◽  
Mehdi Zaamoune ◽  
François Pinet ◽  
Sandro Bimonte ◽  
Philippe Beaune

Author(s):  
Sandro Bimonte ◽  
Omar Boucelma ◽  
Olivier Machabert ◽  
Sana Sellami

Spatial data warehouses (SDW) and spatial OLAP (SOLAP) systems are well-known business intelligence technologies that aim to support a multidimensional and online analysis for a large volume of geo-referenced datasets. SOLAP systems are already used in the context of natural hazards for analyzing sensor data and experts' measurements. Recently, new data gathering tools coined as volunteered geographic information systems (VGI) have been adopted especially by non-expert users. Hence, (spatial) application development is facing a new challenge, which is the integration of expert-oriented data with citizen-provided data. In this paper, we propose a new generic spatio-multidimensional model based on the question/answer risk evaluation model that allows the integration of VGI data with classical SDW and SOLAP systems for the online analysis of natural hazards monitored by volunteers.


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