Semantic database modeling: survey, applications, and research issues
ACM Computing Surveys (CSUR)
ACM Computing Surveys (CSUR)
Artificial intelligence, simulation & modeling
A tutorial on semantic database modeling
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Conceptual database design: an Entity-relationship approach
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A translation approach to portable ontology specifications
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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
An ontological analysis of the relationship construct in conceptual modeling
ACM Transactions on Database Systems (TODS)
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Supporting ontological analysis of taxonomic relationships
Data & Knowledge Engineering - ER2000
Data modelling versus ontology engineering
ACM SIGMOD Record
On the General Ontological Foundations of Conceptual Modeling
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Should Optional Properties Be Used in Conceptual Modelling? A Theory and Three Empirical Tests
Information Systems Research
Journal of the American Society for Information Science and Technology
Theoretical foundations for conceptual modelling in information systems development
Decision Support Systems
Modelling ontology use for information systems
WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
The Design of Everyday Things
Random thoughts on multi-level conceptual modelling
The evolution of conceptual modeling
Modelling ontology use for information systems
WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
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This paper is based on a particular concept of model and modeling respectively. A key aspect of modeling is the particular relationship that is presupposed to exist between a model and its original. Ontologies are in this paper distinguished from other kinds of model in terms of that relationship. This paper discusses ontology use and proposes a quality model of that use. In doing so it aims at a better understanding of ontology use. That quality model contains the quality characteristics ”role”, ”justification” and ”relevance”. It is the position of this paper that an unjustified use of an ontology in a particular role indicate a need for further reasoning. Similarly, if it is not relevant for the role in which a model is used that this model actually is an ontology then further reasoning and a different model might be suited better for that use.