ABSTRACT
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.
- Sibley, E. H., Guest Editor: "Special Issue on Data Base Management Systems", ACM Computing Surveys, Vol. 18, No. 1, March 1976, pp. 151Google Scholar
- Kerschberg, L., A. Klug and D. Tsichritzis, "A Taxonomy of Data Models", Proceedings Second International Conference on Very Large Data Bases, Brussels, September 1976. Google ScholarDigital Library
- Rustin, R., Editor: ACM SIGMOD 1974 Workshop on Data Description, Access, and Control, "Data-Structure-Set versus Relational", May 1974, pp. 144.Google Scholar
- CODASYL Systems Committee: "The Selection and Acquisition of Data Base Management Systems", Published by ACM, New York and IAG, Amsterdam, March 1976, pp. 252.Google Scholar
- Reiter, A., "Data Models for Secondary Storage Representations", Proceedings 1st International Conference on Very Large Data Bases, ACM, Sept. 1975, pp. 87--119. Google ScholarDigital Library
- Hardgrave, W. T., and E. H. Sibley, "Database Research: Some Comments on Future Directions", SIGMOD FDT 7, pp. 3--4, 1975. Google ScholarDigital Library
- Kerschberg, L. and J. E. S. Pacheco, "A Functional Data Base Model", Computer Science Monograph, Pontificia Universidade Catolica do Rio de Janeiro, February, 1976, also available as Technical Report 13, Dept. of Information Systems Management, University of Maryland, 1976.Google Scholar
- CODASYL Data Description Language Committee, "Data Description Language-Journal of Development", National Bureau of Standards Handbook 113, Washington, 1973, pp. 136.Google Scholar
- Novak, D. O. and J. P. Fry, "The State of the Art of Database Design", Proceedings Fifth Texas Conference on Computing Systems, Austin, 1976, pp. 30--38.Google Scholar
- Langfors, B., "Theoretical Aspects of Information Systems for Management", Proceedings IFIP Congress 74, pp. 937--945.Google Scholar
- Rund, D. Sheppard, "Data Base Design Methodology Parts I and II", AUERBACH Publishers Inc., 1976.Google Scholar
- Kahn, B. K., "A Method for Describing the Information Required by the Data Base Design Process", Proceedings International ACM-SIGMOD Conference on Management of Data, Washington, D.C., 1976, pp. 53--64. Google Scholar
- Rothnie, J. B. and W. T. Hardgrave, "Data Model Theory: A Beginning" Proceedings Fifth Texas Conference on Computing Systems, Austin, 1976.Google Scholar
- Codd, E. F., "A Relational Model of Data for Large Shared Data Banks", Comm. ACM, 13, June 1970, pp. 377--387. Google ScholarDigital Library
- Childs, D. L., "Description of a Set-theoretic Data Structure", AFIPS Conf. Proc., Vol. 33, Part 1, AFIPS Press, Montvale, N.J., 1968, pp. 557--564. Google ScholarDigital Library
- Childs, D. L., "Feasibility of a Set-theoretic Data Structure: A General Structure Based on a Reconstructed Definition of Relation", IFIP Congress 1968, North Holland, Amsterdam, 1968, pp. 420--430.Google Scholar
- Childs, D. L., "Extended Set Theory: A Formalism for the Design, Implementation, and Operation of Information Systems", Volume IV, Current Trends on Programming Methodology, edited by R. T. Yeh, Prentice-Hall,Google Scholar
- Hardgrave, W. T., "A Technique For Implementing a Set Processor", Proc. ACM Conference on Data: Abstraction, Definition, and Structure, SIG-PLAN Notices, March 1976. Google ScholarDigital Library
- Hardgrave, W. T., "Set Processing: A Tool for Data Management", Proc. ACM/NBS Fifteenth Annual Technical Symposium, June 1976.Google Scholar
- Eswaran, K., "Aspects of a Trigger Subsystem in an Integrated Database System", Proceedings Second International Conference on Software Engineering, San Francisco, 1976, pp. 243--250. Google ScholarDigital Library
- Leech, G., Semantics, Penguin Books Ltd., Middlesex, England, 1974.Google Scholar
- Chen, P., "The Entity-Relationship Model---Toward a Unified View of Data", ACM Transactions on Database Systems, Vol. 1, No. 1, March 1976, pp. 9--36. Google ScholarDigital Library
- MacLane, S. and G. Birkhoff, Algebra, Macmillan Co., 1968.Google Scholar
- Bachman, C. W., "Data Structure Diagrams", Data Base, ACM SIGBDP Newsletter No. 1, 2, Summer 1969. Google ScholarDigital Library
- Sibley, E. H., "On the Equivalences of Data Based Systems", ACM SIGMOD 1974 Workshop on Data Description, Access, and Control, May 1974, pp. 43--76. Google ScholarDigital Library
- Schmid, H. A. and J. R. Swenson, "On the Semantics of the Relational, Data Model", Proceedings International ACM-SIGMOD Conference on Management of Data, 1975. Google ScholarDigital Library
- Astrahan, M. M. et al., "System R: A Relational Approach to Data Base Management", ACM Transactions on Database Systems, Vol. 1, No. 2, 1976. Google ScholarDigital Library
- Stonebraker, M., "High Level Integrity Assurance in Relational Data Base Management Systems", Proceedings of the 1975 ACM-SIGMOD Workshop.Google Scholar
- Kerschberg, L., E. A. Ozkarahan, and J. E. S. Pacheco, "A Synthetic English Query Language for a Relational Associative Processor", Proceedings Second International Conference on Software Engineering. San Francisco, 1976, pp. 505--519. Google ScholarDigital Library
- Data architecture and data model considerations
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