Database design for smarties: using UML for data modeling
Database design for smarties: using UML for data modeling
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
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Object-Relational DBMSs: Tracking the Next Great Wave
Object-Relational DBMSs: Tracking the Next Great Wave
UML for Database Design
Extending UML for Object-Relational Database Design
«UML» '01 Proceedings of the 4th International Conference on The Unified Modeling Language, Modeling Languages, Concepts, and Tools
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VIATRA " Visual Automated Transformations for Formal Verification and Validation of UML Models
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IEEE Software
The Pragmatics of Model-Driven Development
IEEE Software
Model transformations for hypertext modeling on web information systems
Proceedings of the 2006 ACM symposium on Applied computing
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Electronic Notes in Theoretical Computer Science (ENTCS)
MoDELS'05 Proceedings of the 2005 international conference on Satellite Events at the MoDELS
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Information and Software Technology
Using weaving models to automate model-driven web engineering proposals
International Journal of Computer Applications in Technology
Model-driven web development for multiple platforms
Journal of Web Engineering
Journal of Systems and Software
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In this paper we define and formalize the model transformations that complete the methodological approach for the development of Object-Relational (OR) Databases (DB) proposed in MIDAS, a model driven methodology for the development of Web Information Systems. In this proposal the Platform Independent Model is the conceptual data model while the Platform Specific Model is the Object-Relational model that represents the OR DB schema. Since both of them will be represented in UML, we also summarize an UML profile for OR DB modeling. In this work we focus on the formalization of the mappings needed to get the OR DB schema from the conceptual data model. We have first specified them with natural language to later formalize them with graph transformation rules.