Using metamodeling in order to evaluate data models

Authors:
Erki Eessaar
Affiliations:
Department of Informatics, Tallinn University of Technology, Tallinn, Estonia
Venue:
AIKED'07 Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases - Volume 6
Year:
2007

Citing 5
Cited 1

Foundation for Future Database Systems: The Third Manifesto

Foundation for Future Database Systems: The Third Manifesto
Evaluation of Information Modeling Methods -- A Review

HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 5 - Volume 5
An Introduction to Database Systems

An Introduction to Database Systems
Software Factories: Assembling Applications with Patterns, Models, Frameworks, and Tools

Software Factories: Assembling Applications with Patterns, Models, Frameworks, and Tools
Databases, Types and the Relational Model (3rd Edition)

Databases, Types and the Relational Model (3rd Edition)

Meta-modeling of inclusion dependency constraints

Proceedings of the 6th Balkan Conference in Informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

A data model (for example, relational or object-relational) specifies data types, types of data structures, types of operations with data and types of integrity constraints. A database system (DBMS) that implements a particular data model allows us to create databases to different enterprises. In this paper we explain, why it is useful to create metamodels of data models. We illustrate the advantages with concrete examples based on the metamodels of two object-relational data model approaches. The results that are revealed through the examples are also novel contributions of our work.