Entity-Relationship Modeling: Foundations of Database Technology
Entity-Relationship Modeling: Foundations of Database Technology
Selected Papers from the Symposium on Conceptual Modeling, Current Issues and Future Directions
Selected Papers from the Symposium on Conceptual Modeling, Current Issues and Future Directions
Conceptual Modeling of Information Systems
Conceptual Modeling of Information Systems
Semantics in Data and Knowledge Bases
Semantics in Data and Knowledge Bases
A Method for Verifiable and Validatable Business Process Modeling
Advances in Software Engineering
Data Modeling Theory and Practice
Data Modeling Theory and Practice
Approaches to the active conceptual modelling of learning
Active conceptual modeling of learning
Towards a framework for emergent modeling
ER'10 Proceedings of the 2010 international conference on Advances in conceptual modeling: applications and challenges
Random thoughts on multi-level conceptual modelling
The evolution of conceptual modeling
Some remarks on relational database schemes having few minimal keys
Conceptual Modelling and Its Theoretical Foundations
| Hi-index | 0.00 |
Conceptual modelling is a widely applied practice and has led to a large body of knowledge on constructs that might be used for modelling and on methods that might be useful for modelling. It is commonly accepted that database application development is based on conceptual modelling. It is however surprising that only very few publications have been published on a theory of conceptual modelling . Modelling is typically supported by languages that are well-founded and easy to apply for the description of the application domain, the requirements and the system solution. It is thus based on a theory of modelling constructs . At the same time, modelling incorporates a description of the application domain and a prescription of requirements for supporting systems. It is thus based on methods of application domain gathering . Modelling is also an engineering activity with engineering steps and engineering results. It is thus engineering . The first facet of modelling has led to a huge body of knowledge. The second facet is considered from time to time in the scientific literature. The third facet is underexposed in the scientific literature. This paper aims in developing principles of conceptual modelling. They cover modelling constructs as well as modelling activities as well as modelling properties and as well as management of models. We first clarify the notion of conceptual modelling. Principles of modelling may be applied and accepted or not by the modeler. Based on these principles we can derive a theory of conceptual modelling that combines foundations of modelling constructs, application capture and engineering. A general theory of conceptual modelling is far too comprehensive and far too complex. It is not yet visible how such a theory can be developed. This paper therefore aims in introducing a framework and an approach to a general theory of conceptual modelling. We are however in urgent need of such a theory. We are sure that this theory can be developed and use this paper for the introduction of the main ingredients of this theory.