Spatio-temporal conceptual models: data structures + space + time
Proceedings of the 7th ACM international symposium on Advances in geographic information systems
A Taxonomy of Spatial Data Integrity Constraints
Geoinformatica
The VLDB Journal — The International Journal on Very Large Data Bases
Database integrity: challenges and solutions
Database integrity: challenges and solutions
The Object Constraint Language: Getting Your Models Ready for MDA
The Object Constraint Language: Getting Your Models Ready for MDA
Conceptual Modeling for Traditional and Spatio-Temporal Applications: The MADS Approach
Conceptual Modeling for Traditional and Spatio-Temporal Applications: The MADS Approach
Transforming conceptual spatiotemporal model into object model with semantic keeping
ER'11 Proceedings of the 30th international conference on Advances in conceptual modeling: recent developments and new directions
Implementing conceptual spatio-temporal schemas in object-relational DBMSs
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
Entity-relationship and object-oriented formalisms for modeling spatial environmental data
Environmental Modelling & Software
Intelligent Decision Technologies
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Conceptual models provide powerful constructs for representing the semantics of real-world application domains. However, much of this semantics may be lost when translating a conceptual schema into a logical or a physical schema. The reason for this semantic loss is the limited expressive power of logical and physical models. In this paper we present a methodology that allows to transform conceptual schemas while preserving their semantics. This is realized with the help of integrity constraints that are automatically generated at the logical and physical levels. As a result, the semantics of an application domain is kept in the database as opposed to keeping it in the applications accessing the database. We present such a methodology using the MADS conceptual spatio-temporal model.