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The entity-relationship model—toward a unified view of data

Published: 01 March 1976 Publication History

Abstract

A data model, called the entity-relationship model, is proposed. This model incorporates some of the important semantic information about the real world. A special diagrammatic technique is introduced as a tool for database design. An example of database design and description using the model and the diagrammatic technique is given. Some implications for data integrity, information retrieval, and data manipulation are discussed.
The entity-relationship model can be used as a basis for unification of different views of data: the network model, the relational model, and the entity set model. Semantic ambiguities in these models are analyzed. Possible ways to derive their views of data from the entity-relationship model are presented.

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Published In

cover image ACM Transactions on Database Systems
ACM Transactions on Database Systems  Volume 1, Issue 1
Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
March 1976
88 pages
ISSN:0362-5915
EISSN:1557-4644
DOI:10.1145/320434
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 March 1976
Published in TODS Volume 1, Issue 1

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Author Tags

  1. Data Base Task Group
  2. data definition and manipulation
  3. data integrity and consistency
  4. data models
  5. database design
  6. entity set model
  7. entity-relationship model
  8. logigcal view of data
  9. network model
  10. relational model
  11. semantics of data

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