Information systems development and data modeling: conceptual and philosophical foundations
Information systems development and data modeling: conceptual and philosophical foundations
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
Integrated process modeling: an ontological evaluation
Information Systems - The 11th international conference on advanced information systems engineering (CAiSE*
Emancipating instances from the tyranny of classes in information modeling
ACM Transactions on Database Systems (TODS)
Should Optional Properties Be Used in Conceptual Modelling? A Theory and Three Empirical Tests
Information Systems Research
Research Commentary: Information Systems and Conceptual Modeling--A Research Agenda
Information Systems Research
An Introduction to Database Systems
An Introduction to Database Systems
Database Systems: A Practical Approach to Design, Implementation and Management (4th Edition)
Database Systems: A Practical Approach to Design, Implementation and Management (4th Edition)
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Using Multivariate Statistics (5th Edition)
Using Multivariate Statistics (5th Edition)
Information Systems Research
Information Modeling and Relational Databases
Information Modeling and Relational Databases
Journal of Database Management
Continuous database engineering
International Journal of Business Information Systems
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How classes of things and properties in general should be represented in conceptual models is a fundamental issue. For example, proponents of object-role modelling argue that no distinction should be made between the two constructs, whereas proponents of entity-relationship modelling argue the distinction is important but provide ambiguous guidelines about how the distinction should be made. In this paper, the authors use ontological theory and cognition theory to provide guidelines about how classification should be represented in conceptual models. The authors experimented to test whether clearly distinguishing between classes of things and properties in general enabled users of conceptual models to better understand a domain. They describe a cognitive processing study that examined whether clearly distinguishing between classes of things and properties in general impacts the cognitive behaviours of the users. The results support the use of ontologically sound representations of classes of things and properties in conceptual modelling.