The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
From a Procedural to a Visual Query Language for OLAP
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
Finding Your Way through Multidimensional Data Models
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Multidimensional normal forms for data warehouse design
Information Systems
Advanced visualization for OLAP
DOLAP '03 Proceedings of the 6th ACM international workshop on Data warehousing and OLAP
YAM2: a multidimensional conceptual model extending UML
Information Systems
Research in data warehouse modeling and design: dead or alive?
DOLAP '06 Proceedings of the 9th ACM international workshop on Data warehousing and OLAP
Hierarchies in a multidimensional model: from conceptual modeling to logical representation
Data & Knowledge Engineering - Special issue: WIDM 2004
A UML profile for multidimensional modeling in data warehouses
Data & Knowledge Engineering - Special issue: ER 2003
An MDA approach for the development of data warehouses
Decision Support Systems
Integrated Model-Driven Development of Goal-Oriented Data Warehouses and Data Marts
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
Using UML/OCL constraints for relational database design
UML'99 Proceedings of the 2nd international conference on The unified modeling language: beyond the standard
Graphical querying of multidimensional databases
ADBIS'07 Proceedings of the 11th East European conference on Advances in databases and information systems
Model driven engineering: an emerging technical space
GTTSE'05 Proceedings of the 2005 international conference on Generative and Transformational Techniques in Software Engineering
On the need of a reference algebra for OLAP
DaWaK'07 Proceedings of the 9th 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
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Extending OCL for OLAP querying on conceptual multidimensional models of data warehouses
Information Sciences: an International Journal
A Conceptual Modeling Approach for OLAP Personalization
ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
| Hi-index | 0.00 |
The development of data warehouses is based on a three-stage process that starts specifying both the static and dynamic properties of on-line analytical processing (OLAP) applications by means of an intuitive, semantically rich abstraction, namely the conceptual model. Then, developers design its logical counterpart where platform-specific details such as performance or storage are also considered. Nevertheless, it is well known the existence of a semantic gap between the conceptual and logical levels that decreases the feasibility of their mapping. In order to bridge this gap, we propose the use of conceptual OLAP queries, i.e., platform-independent, that can be automatically traced to their logical implementation in a coherent and integrated way. For this aim, in this paper, we focus on describing the specification of an OLAP algebra at the conceptual level by using the object-constraint language (OCL). Its operations are then translated into a particular OLAP system by using a model-driven architecture (MDA). The great advantage of our approach is that we allow analysts to query data warehouses without being aware of logical details.