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
System R: relational approach to database management
ACM Transactions on Database Systems (TODS)
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
A method for describing information required by the database design process
SIGMOD '76 Proceedings of the 1976 ACM SIGMOD international conference on Management of data
A technique for implementing a set processor
Proceedings of the 1976 conference on Data : Abstraction, definition and structure
Aspects of a trigger subsystem in an integrated database system
ICSE '76 Proceedings of the 2nd international conference on Software engineering
A Synthetic English query language for a relational associative processor
ICSE '76 Proceedings of the 2nd international conference on Software engineering
On the equivalences of data based systems
SIGFIDET '74 Proceedings of the 1974 ACM SIGFIDET (now SIGMOD) workshop on Data description, access and control: Data models: Data-structure-set versus relational
Database research: some comments on future directions
ACM SIGMOD Record
ACM SIGMIS Database
Data models for secondary storage representations
VLDB '75 Proceedings of the 1st International Conference on Very Large Data Bases
VLDB '76 Proceedings of the second international conference on Systems for Large Data Bases
Description of a set-theoretic data structure
AFIPS '68 (Fall, part I) Proceedings of the December 9-11, 1968, fall joint computer conference, part I
An overview of recent data base research
ACM SIGMIS Database
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The Data Base Management System is now a well established part of information systems technology, but the many architectures and their plethora of data models are confusing to both the practitioner and researcher. In the past, attempts have been made to compare and contrast some of these systems, but the greatest difficulty arises in seeking a common basis. This paper attempts to show how a generalized data system (GDS), represented by two different models, could form such a basis; it then proposes that data policy definitions can restrict the GDS to a specialized model, such as a relational or DBTG-like model. Finally, it proposes that this concept forms a better basis for data structure design of specific system applications.