The HiPAC project: combining active databases and timing constraints
ACM SIGMOD Record - Special Issue on Real-Time Database Systems
Consistency of versions in objects-oriented databases
Proceedings of the sixteenth international conference on Very large databases
Research problems in data warehousing
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
View maintenance in a warehousing environment
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Building the data warehouse (2nd ed.)
Building the data warehouse (2nd ed.)
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
The WHIPS prototype for data warehouse creation and maintenance
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Modeling temporal primitives: back to basics
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Handling temporal grouping and pattern-matching queries in a temporal object model
Proceedings of the seventh international conference on Information and knowledge management
Shrinking the warehouse update Window
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Maintaining knowledge about temporal intervals
Communications of the ACM
Temporal and Real-Time Databases: A Survey
IEEE Transactions on Knowledge and Data Engineering
Maintaining Temporal Views over Non-Temporal Information Sources for Data Warehousing
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Efficient Snapshot Differential Algorithms for Data Warehousing
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
A Foundation for Multi-dimensional Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Multiple-View Self-Maintenance in Data Warehousing Environments
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Algorithms for Materialized View Design in Data Warehousing Environment
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
Database Architecture for Data Warehousing: An Evolutionary Approach
DEXA '98 Proceedings of the 9th International Conference on Database and Expert Systems Applications
Data Warehouse Schema and Instance Design
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
A dual copy method for transaction separation with multiversion control for read-only transactions
Proceedings of the 2001 ACM symposium on Applied computing
A Temporal Object-Oriented Data Warehouse Model
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
A grain preservation translation algorithm: From ER diagram to multidimensional model
Information Sciences: an International Journal
A multiversion-based multidimensional model
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
An efficient and grain preservation mapping algorithm: from ER diagram to multidimensional model
ISSADS'05 Proceedings of the 5th international conference on Advanced Distributed Systems
| Hi-index | 0.00 |
This paper focuses on data warehouse modelling. The conceptual model we defined, is based on object concepts extended with specific concepts like generic classes, temporal classes and archive classes. The temporal classes are used to store the detailed evolutions and the archive classes store the summarised data evolutions. We also provide a flexible concept allowing the administrator to define historised parts and non-historised parts into the warehouse schema. Moreover, we introduce constraints which configure the data warehouse behaviour and these various parts. To validate our propositions, we describe a prototype dedicated to the data warehouse design.