A comparative evaluation of system development methods
Proc. of the IFIP WG 8.1 working conference on Information systems design methodologies: improving the practice
The temporal query language TQuel
ACM Transactions on Database Systems (TODS)
Semantic database modeling: survey, applications, and research issues
ACM Computing Surveys (CSUR)
ACM Computing Surveys (CSUR)
A conceptual modelling formalism for temporal database applications
Information Systems
Fundamentals of database systems (2nd ed.)
Fundamentals of database systems (2nd ed.)
Temporal databases: model design and commercialization prospects
ACM SIGMIS Database
Understanding and Evaluating Methodologies: NIMSAD, a Systematic Framework
Understanding and Evaluating Methodologies: NIMSAD, a Systematic Framework
Temporal Entity-Relationship Models-A Survey
IEEE Transactions on Knowledge and Data Engineering
Comparison-Criteria for Semantic Data Models
Proceedings of the First International Conference on Data Engineering
Modelling Information Preserving Databases: Consequences of the Concept of Time
VLDB '83 Proceedings of the 9th International Conference on Very Large Data Bases
Modelling the Time Dimension in an Entity-Relationship Diagram
Proceedings of the Fourth International Conference on Entity-Relationship Approach
A Semantic Comparison of the Modelling Capabilities of the ER and NIAM Models
ER '93 Proceedings of the 12th International Conference on the Entity-Relationship Approach: Entity-Relationship Approach
Capturing Temporal Constraints in Temporal ER Models
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
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It is widely recognized that temporal aspects of database schemas are prevalent, but also difficult to capture using the ER model. The database research community's response has been to develop temporally enhanced ER models. However, these models have not been subjected to systematic evaluation. In contrast, the evaluation of modeling methodologies for information systems development is a very active area of research in the information systems engineering community. Based on a framework from information systems engineering, this paper evaluates the ontological expressiveness of three different temporal enhancements to the ER model. The three temporal ER model extensions are well-documented, and together the models represent a substantial range of the design space for temporal ER extensions.