Fundamentals of Data Warehouses
Fundamentals of Data Warehouses
Object-Based Selective Materialization for Efficient Implementation of Spatial Data Cubes
IEEE Transactions on Knowledge and Data Engineering
Representing spatiality in a conceptual multidimensional model
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Towards a spatial multidimensional model
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
Environmental Modelling & Software
Piet: a GIS-OLAP implementation
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
Integration of Geographic Information into Multidimensional Models
ICCSA '08 Proceeding sof the international conference on Computational Science and Its Applications, Part I
Model-Driven Metadata for OLAP Cubes from the Conceptual Modelling of Data Warehouses
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
An MDA Approach for the Development of Spatial Data Warehouses
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Bridging the semantic gap in OLAP models: platform-independent queries
Proceedings of the ACM 11th international workshop on Data warehousing and OLAP
DaWaRA: An Eclipse Plugin for Using i* on Data Warehouse Requirement Analysis
RE '08 Proceedings of the 2008 16th IEEE International Requirements Engineering Conference
Integrated Model-Driven Development of Goal-Oriented Data Warehouses and Data Marts
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
GeWOlap: a web based spatial OLAP proposal
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
Requirements specification and conceptual modeling for spatial data warehouses
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
ADVIS'06 Proceedings of the 4th international conference on Advances in Information Systems
Towards a more straightforward and more expressive metamodel for SDW modeling
Proceedings of the ACM 14th international workshop on Data Warehousing and OLAP
A personalization process for spatial data warehouse development
Decision Support Systems
A model driven process for spatial data sources and spatial data warehouses reconcilation
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part I
Enhancing coverage and expressive power of spatial data warehousing modeling: the SDWM approach
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
Querying spatial and temporal data by condition tree: two examples based on environmental issues
ICCSA'13 Proceedings of the 13th international conference on Computational Science and Its Applications - Volume 1
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Data aggregation in Geographic Information Systems (GIS) is a desirable feature, spatial data are integrated in OLAP engines for this purpose. However, the development and operation of those systems is still a complex task due to methodologies followed. There are some ad hoc solutions that deal only with isolated aspects and do not provide developer and analyst with an intuitive, integrated and standard framework for designing all relevant parts. To overcome these problems, we have defined a model driven approach to accomplish Geographic Data Warehouse (GDW) development. Then, we have defined a data model required to implement and query spatial data. Its modeling is defined and implemented by using an extension of UML metamodel and it is also formalized by using OCL language. In addition, the proposal has been verified against a example scenario with sample data sets. For this purpose, we have accomplished a developing tool based on Eclipse platform and MDA standard. The great advantage of this solution is that developers can directly include spatial data at conceptual level, while decision makers can also conceptually make geographic queries without being aware of logical details.