Semantic data modeling
Developing time-oriented database applications in SQL
Developing time-oriented database applications in SQL
Database abstractions: aggregation and generalization
ACM Transactions on Database Systems (TODS)
Data Quality
Architecture of Integrated Information Systems: Foundations of Enterprise Modelling
Architecture of Integrated Information Systems: Foundations of Enterprise Modelling
Entity-Relationship Modeling: Foundations of Database Technology
Entity-Relationship Modeling: Foundations of Database Technology
Metapattern: Context and Time in Information Models
Metapattern: Context and Time in Information Models
Modelling Data Warehouses and OLAP Applications by Means of Dialogue Objects
ER '99 Proceedings of the 18th International Conference on Conceptual Modeling
E/R Based Scenario Modeling for Rapid Prototyping of Web Information Services
ER '99 Proceedings of the Workshops on Evolution and Change in Data Management, Reverse Engineering in Information Systems, and the World Wide Web and Conceptual Modeling
ADC '03 Proceedings of the 14th Australasian database conference - Volume 17
Linguistic based search facilities in snowflake-like database schemes
Data & Knowledge Engineering - NLDB2002
Component development and construction for database design
Data & Knowledge Engineering - Special issue: ER 2002
Component-driven engineering of database applications
APCCM '06 Proceedings of the 3rd Asia-Pacific conference on Conceptual modelling - Volume 53
Algebraic Meta-structure Handling of Huge Database Schemata
ER '09 Proceedings of the ER 2009 Workshops (CoMoL, ETheCoM, FP-UML, MOST-ONISW, QoIS, RIGiM, SeCoGIS) on Advances in Conceptual Modeling - Challenging Perspectives
Engineering database component ware
TEAA'06 Proceedings of the 2nd international conference on Trends in enterprise application architecture
Explicitly representing superimposed information in a conceptual model
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
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Large database schemata can be drastically simplified if techniques of modular and structural modeling are used. Applications and thus schemata have an inner meta-structure. The explicit treatment of the inner structuring may be used during development of large database schemata and may ease the development to a large extent. It is surprising that dimensions and internal separations have not been considered yet also they are very natural and easy to capture. This paper develops an approach to explicit treatment of the inherent many-dimensional structuring on the basis of dimensions such as the kernel dimension, the association dimension, the log dimension, the meta-characterization dimension, and the lifespan dimension.