Advertisement

A model for the description of the information system dynamics

  • A. Flory
  • J. Kouloumdjian
Data Modelling
Part of the Lecture Notes in Computer Science book series (LNCS, volume 65)

Abstract

This paper deals with the description of the information system dynamics at the conceptual level. A model is put forward to take into account both the structural and dynamic aspects of data base. The data model (an entity-relation model) helps to build the data into a structured set of relations that correspond to a specific third normal form. These relations do not play the same role in data base evolution : we propose a classification of "event" relations — the tuples of which are the starting point of treatments — and of "permanent" relations. The description of processings deriving from a primary event may be divided into elementary chronological steps with the help of a hierarchy graph. Each step can be analyzed in term of "states" which express the stage of treatment of the triggering event.

Keywords

Data Base Functional Relation Conceptual Schema Integrity Constraint Data Base System 
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.

Bibliography

  1. (ANS 75).
    ANSI/X3/SPARC interim report (1975)Google Scholar
  2. (BEN 76).
    BENCI G., BODART F., BOGAERT H, CABANES A.: "Concept for the design of a conceptual schema". Modelling in D.B.M.S. North Holl. PUBL. (1976) pp. 181–200.Google Scholar
  3. (CHE 76).
    CHEN, P.: "the entity-relationship model: toward a unified view of data" A.C.M. Transactions on data base systems. Vol.1 no 1 (march 1976) pp 9–36.Google Scholar
  4. (COD 70).
    CODD E.F.: "A relational model of data for large shared data banks" Com. A.C.M. 13 (June 1970) pp. 337–387.Google Scholar
  5. (COD 72).
    CODD E.F.: "Further normalization of the data base relational model" Current Computer Schience Symposia, Data Base System Vol. 6 Prentice Hall (1971)Google Scholar
  6. (ESW 75).
    ESWARAN P., CHAMBERLIN P.: "Functional specifications of a subsystem for data base integrity" Proc. Very Large Data Base Conf. (Sept. 1975) pp. 48–68Google Scholar
  7. (FLO 77).
    FLORY A.: "Un modèle et une méthode pour la conception logique d'une base de données" Ph. Thesis (nov. 1977).Google Scholar
  8. (FLO 78).
    FLORY A., KOULOUMDJIAN J.: "A model and a method for logical data base design" Very Large Data base conf. West Berlin Sept 1978 pp. 315–326.Google Scholar
  9. (HAM 75).
    HAMMER M., Mc LEOD J.: "Semantic Integrity in a relational data base system" Proc. Very Large Data Base Conf. (Sept. 1975) pp. 25–47.Google Scholar
  10. (HUI 76).
    HUITS M.H.M.: "Requirements for languages in data base systems" DATA Base Description — North-Holland pub. (1975) pp. 85–110.Google Scholar
  11. (MAC 76).
    MAC GHEELS C.: "A procedural language for expressing integrity constrainsts in the coexistence model" Modelling in D.B.M.S. North-Holland Pub. (1976) pp. 293–301.Google Scholar
  12. (SCH 75).
    SCHMID H.A., SWENSON J.: "On the semantics of the relational data model" A.C.M. SIGMOD Conf. on managt of data (mai 1975).Google Scholar
  13. (WEB 76).
    WEBER H.: "A semantic model of integrity constraints on a relational data base". Modelling in D.B.M.S. North-Holland Pub. (1976) pp. 269–292.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1978

Authors and Affiliations

  • A. Flory
    • 1
  • J. Kouloumdjian
    • 1
  1. 1.Laboratoire d'informatiqueUniversité Claude BernardLyon

Personalised recommendations