The COMET Metamodel for Temporal Data Warehouses
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
A Temporal Query Language for OLAP: Implementation and a Case Study
DBPL '01 Revised Papers from the 8th International Workshop on Database Programming Languages
Fundamentals of Algebraic Graph Transformation (Monographs in Theoretical Computer Science. An EATCS Series)
A conceptual solution for representing time in data warehouse dimensions
APCCM '06 Proceedings of the 3rd Asia-Pacific conference on Conceptual modelling - Volume 53
Schema versioning in data warehouses: enabling cross-version querying via schema augmentation
Data & Knowledge Engineering - Special issue: WIDM 2004
A DAG comparison algorithm and its application to temporal data warehousing
CoMoGIS'06 Proceedings of the 2006 international conference on Advances in Conceptual Modeling: theory and practice
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Data warehouses are oftentimes in charge of supporting the decision finding processes in companies and public administration. To fulfil these tasks the systems model parts of real world regarding the respective application domain. But the world is changing and in such an evolving environment data warehouses can only cope with their tasks if they can be kept consistent with the real world. For that purpose they have to be able to deal with modifications in the data schema and their influence on the data values. This paper focusses on the modeling of the data transformation. We identified six different types of transformation operations. Based on the semantic analysis of these operations we present a matrix based representation for data transformation which enables us to specify the transformation results and a more efficient graph based representation, which furthermore offers potential for optimization.