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
CODASYL Data-Base Management Systems
ACM Computing Surveys (CSUR)
Hierarchical Data-Base Management: A Survey
ACM Computing Surveys (CSUR)
A relational model of data for large shared data banks
Communications of the ACM
On the semantics of the relational data model
SIGMOD '75 Proceedings of the 1975 ACM SIGMOD international conference on Management of data
The semantic data model: a modelling mechanism for data base applications
SIGMOD '78 Proceedings of the 1978 ACM SIGMOD international conference on management of data
View representation in logical database design
SIGMOD '78 Proceedings of the 1978 ACM SIGMOD international conference on management of data
LSL: a Link and Selector Language
SIGMOD '76 Proceedings of the 1976 ACM SIGMOD international conference on Management of data
Database Design
Data model integration using the structural model
SIGMOD '79 Proceedings of the 1979 ACM SIGMOD international conference on Management of data
A structural model for database systems
A structural model for database systems
Functional specifications of a subsystem for data base integrity
VLDB '75 Proceedings of the 1st International Conference on Very Large Data Bases
Separability An Approach to Physical Database Design
IEEE Transactions on Computers
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Data models can provide powerful abstractions to aid in the design of data structures that are relevant to database systems. A large amount of effort has been expended in the development of suitable data models. Several of these models distinguish between classes of entities and relationships among classes of entities in the abstractions they use for modelling the data. Among these models are the network model, Schmid and Swenson's model, the entity-relationship model, Navathe and Schkolnick's model, the semantic data model, and the structural model.