A methodology for conceptual documentation and maintenance
Information Systems
Schema evolution and the relational algebra
Information Systems
Conceptual database design: an Entity-relationship approach
Conceptual database design: an Entity-relationship approach
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Quality dimensions of a conceptual view
Information Processing and Management: an International Journal
Semantics of time-varying information
Information Systems
Data schema design as a schema evolution process
Data & Knowledge Engineering
Information systems and organizational change
Communications of the ACM
A Procedural Approach to Schema Evolution
CAiSE '93 Proceedings of Advanced Information Systems Engineering
Design the Flexibility, Maintain the Stability of Conceptual Schemas
CAiSE '99 Proceedings of the 11th International Conference on Advanced Information Systems Engineering
Theoretical foundations for conceptual modelling in information systems development
Decision Support Systems
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Conceptual schemas are described using some preferred data model theory. A taxonomy of potential changes can be derived from that data model theory, but it has no great significance for the maintenance and evolution of a given schema because it is based only on the constructs of the data model theory. This current state of the art in conceptual modelling can be improved by learning from actual business cases. This paper describes a number of semantic change patteras observed in operational conceptual schemas. Several semantic changes are not accounted for in current taxonomies. It shows that studying evolution in operational schemas opens up new and promising ways of improving data model theories and current design practices.