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Logical Data Base Design

  • Jay-Louise Weldon
Part of the Applications of Modern Technology in Business book series (AMTB)

Abstract

The purpose of a data base is to represent objects and events of interest to the organization. Any representation of the real world is, of necessity, incomplete in that it is not the actual object but a description of that object. The characteristics described are those that are most obvious, or most interesting, or most relevant to the creator of the representation. Aspects which are not of interest are ignored. For example, the descriptive characteristics of an individual that are recorded on a driver’s license include age, hair color, eye color, name, and address but not marital status or educational history.

Keywords

Data Base Requirement Analysis View Integration Logical Schema Record Type 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    ANSI/X3/SPARC, Interim report of the ANSI/X3/SPARC study group on data base management systems, ACM SIGMOD 7(2), 1975.Google Scholar
  2. 2.
    Codd, E. F., A relational model of data for large shared data banks, Communications of the ACM 13(6), pp. 377–387, June 1970.zbMATHCrossRefGoogle Scholar
  3. 3.
    Date, C. J., An Introduction to Database Systems, Addison-Wesley, Reading, Mass., 1975.Google Scholar
  4. 4.
    Fagin, R., Multivariate dependencies and a new normal form for relational databases, ACM Transactions on Database Systems 2(3), pp. 262–278, Sept. 1977.MathSciNetCrossRefGoogle Scholar
  5. 5.
    Bachman, C. W., Data structure diagrams, Data Base 1(2), pp. 4–10, Summer 1969.CrossRefGoogle Scholar
  6. 6.
    Yao, S. B., S. Navathe, and J. L. Weldon, An integrated approach to logical data base design, Proceedings of the NYU Symposium on Database Design, pp. 1–14, New York University, New York, May 1978.Google Scholar
  7. 7.
    Kahn, B., A structured logical database design methodology, Proceedings of the NYU Symposium on Database Design, pp. 15–24, New York University, New York, May 1978.Google Scholar
  8. 8.
    Sheppard, D. R., Data Base Design Methodology, Parts I and II, Auerbach Data Base Management Portfolio No. 23-01-01 and 23-01-02, Auerbach Publishers, Pennsauken, N.J., 1977.Google Scholar
  9. 9.
    Teichroew, D., and E. A. Hershey III, psl/psa: A computer-aided technique for structured documentation and analysis of information processing systems, IEEE Transactions on Software Engineering, pp. 41-48, January 1977.Google Scholar
  10. 10.
    Hammer, M., W. G. Howe, V. J. Kruskal, and I. Wladawsky, A very high level programming language for data processing applications, Communications of the ACM 20(11), pp. 832–840, November 1977.zbMATHCrossRefGoogle Scholar
  11. 11.
    Chen, P. P. S., The entity-relationship model: Toward a unified view of data, ACM Transactions on Database Systems 1(1), pp. 9–36, March 1976.CrossRefGoogle Scholar
  12. 12.
    Smith, J. M., and D. C. P. Smith, Database abstractions: Aggregation and generalization, ACM Transactions on Database Systems 2(2), June 1977.Google Scholar
  13. 13.
    Navathe, S., and M. Schkolnick, View representation in logical database design, Proceedings of the Association for Computing Machinery SIGMOD Conference, Association for Computing Machinery, New York, June 1978.Google Scholar
  14. 14.
    Mitoma, M. F., and K. B. Irani, Automatic data base schema design and optimization, Proceedings of the First Conference on Very Large Data Bases, Association for Computing Machinery, New York, September 1975.Google Scholar
  15. 15.
    Raver, N., and G. U. Hubbard, Automated logical data base design: Concepts and applications, IBM Systems Journal 16(3), pp. 287–312, 1977.CrossRefGoogle Scholar
  16. 16.
    Gerritsen, R., A preliminary system for the design of dbtg data structures, Communications of the ACM 18(10), pp. 551–556 October 1975.zbMATHCrossRefGoogle Scholar
  17. 17.
    Weldon, J. L., View Restructuring of Abstraction Structures, NYU Graduate School of Business Administration, Working Paper 78-93(CA), August 1978.Google Scholar

Copyright information

© Plenum Press, New York 1981

Authors and Affiliations

  • Jay-Louise Weldon
    • 1
  1. 1.Graduate School of Business AdministrationNew York UniversityNew YorkUSA

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