Fundamentals of Database Systems with Cdrom and Book
Fundamentals of Database Systems with Cdrom and Book
Data Structures for an Integrated Data Base Management and Information Retrieval System
VLDB '82 Proceedings of the 8th International Conference on Very Large Data Bases
Determining when a structure is a nested relation
VLDB '85 Proceedings of the 11th international conference on Very Large Data Bases - Volume 11
A Functional Data Model Approach to Querying RDF/RDFS Data
BNCOD '08 Proceedings of the 25th British national conference on Databases: Sharing Data, Information and Knowledge
Model-independent schema translation
The VLDB Journal — The International Journal on Very Large Data Bases
CUDL language semantics: Updating FDB data
Journal of Systems and Software
Hi-index | 0.00 |
Today, the simplicity of the relational model types affects Information Systems design. We favor another approach where the Information System designers would be able to portray directly the real world in a database model that provides more powerful and composite data types, as those of the real world. However, more powerful models, like the Frame Database Model (FDB) model, need query and manipulation languages that can handle the features of the new composite data types. We demonstrate that the adoption of such a language, the Conceptual Universal Database Language (CUDL), leads to higher database design levels: a database modeled by Entity-Relationship (ER) diagrams can be first transformed to the CUDL Abstraction Level (CAL), which can be then transformed to the FDB model. Since, the latter transformation has been previously studied, to complete the design process, we present a set of rules for the transformation from ER diagrams to CAL.