starER: a conceptual model for data warehouse design
Proceedings of the 2nd ACM international workshop on Data warehousing and OLAP
A Logical Approach to Multidimensional Databases
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
A Method for Demand-Driven Information Requirements Analysis in Data Warehousing Projects
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 8 - Volume 8
Multidimensional normal forms for data warehouse design
Information Systems
MDA Distilled
Goal-oriented requirement analysis for data warehouse design
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
A UML profile for multidimensional modeling in data warehouses
Data & Knowledge Engineering - Special issue: ER 2003
An MDA Approach for the Development of Spatial Data Warehouses
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Designing Data Warehouses for Geographic OLAP Querying by Using MDA
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
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Since the data warehouse integrates the information provided by data sources, it is crucial to reconcile these sources with the information requirements of decision makers. It is specially true when novel types of data and metadata are stored in the data sources, e.g. spatial issues. In this way, spatial requirements have to be conformed with the available spatial metadata in order to obtain a data warehouse that, at the same time, satisfies decision maker spatial needs and do not attempt against the available metadata stored in the data sources. Therefore, in this paper, we have based on multidimensional forms and some spatial and geometric considerations to define a set of Query/View/Transformation (QVT) relations to formally define a set of rules that help designers in this tedious and prone-to-fail task. The novelty of our approach is to consider an hybrid viewpoint to develop spatial data warehouses (SDW), i.e., we firstly obtain the conceptual schema of the SDW from user requirements and then we verify its correctness against spatial data sources by using automatic transformations. Finally, the designer could take decisions to overcome the absence or incompactibility of certain spatial data by using our Eclipse CASE tool.