Skip to main content

Towards a unifying logic formalism for semantic data models

  • Conference paper
  • First Online:
Book cover Entity-Relationship Approach — ER '93 (ER 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 823))

Included in the following conference series:

Abstract

In the paper we look for the solution of two problems: the unification of various paradigms of semantic database models inside one logical framework, and schema mismatch problems arising during merging process of two schemata from different models. As an approach we use SEL-logic, which captures database data level and metalevel (schema) information in such a way as to permit reasoning at both levels. Both levels are expressed as first-order logic formalisms.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. S. Abiteboul and R Hull. IFO: A formal semantic database model. ACM TODS, 12(4), (1987).

    Google Scholar 

  2. Kim B. Bruce, Peter Wegner, An algebraic Model of Subtype and Inheritance”, in: Advances in Database Programming Languages, ACM Press, (1990).

    Google Scholar 

  3. P. Chen. The entity-relationship model — toward a unified view of data. ACM TODS, 1(1) 9–36 (1976).

    Article  Google Scholar 

  4. W. Chen, declarative specification and evaluation of database updates, Proc. 2nd Int'l Conf. DOOD'91, 1991.

    Google Scholar 

  5. J. Chudziak, H. Rybinski, and J. Vorbach. On Mapping Semantic Data Model Schemata into First_Order Logic, ICS Research Report Warsaw University of Technology, 13/93.

    Google Scholar 

  6. J. Chudziak, J. Vorbach, SDM-CASE: A Prototype of Semantic Database Design and Analyze System, in preparation.

    Google Scholar 

  7. T.Halpin, A Fact Oriented Approach to Schema Transformation, MFDBS'91, 342–356 (1991).

    Google Scholar 

  8. R. Hull and Ch.K. Yap, The Format Model: A Theory of Database Organization, JACM 31(4), 518–537 (1984).

    Article  Google Scholar 

  9. R. Hull and R. King. Semantic database modeling: survey, application, and research issues, ACM Comp. Surveys, 19 (3), (1988)

    Google Scholar 

  10. The problem of equivalence for Entity-Relationship Diagrams, IEEE Trans. on Software Engineering, 9(5), (1983).

    Google Scholar 

  11. W. Kent. The breakdown of the Information Model in MDBSs, ACM SIGMOD RECORD, 20(4), (1991).

    Google Scholar 

  12. M. Kifer and G Lausen. F-Logic: a higher-order language for reasoning about objects, inheritance, and scheme. Proc. of the 8th ACM-SIGMOD Int'l Conf. on Management of Data, 134–146 (1989).

    Google Scholar 

  13. W. Kim and J. Seo. Classifying schematic and data heterogreneity in multidatabase systems. Computer, 24(12), (1991).

    Google Scholar 

  14. R. Krishnamurthy, W. Litwin, and W. Kent. Language Features for Interoperability of Databases with Schematic Discrepancies. Proc. of the 10th ACM-SIGMOD Int'l Conf. on Management of Data, 40–49 (1991).

    Google Scholar 

  15. D. Maier. O-Logic: a logic for objects, Workshop on Foundations of Deductive Databases and Logic Programming, D.C., 1986

    Google Scholar 

  16. J. Peckham and F. Maryanski. Semantic data models. ACM Computing Surveys. 20(3), 153–189 (1988).

    Article  Google Scholar 

  17. H. Rasiowa, R. Sikorski. The Mathematics of Metamathematics, Polish Scientific Publishers, Warsaw, (1963)

    Google Scholar 

  18. H. Rybinski. On first order logic databases, ACM TODS 12(3), 325–349 (1987).

    Article  Google Scholar 

  19. H. Rybinski and J. Vorbach. A logic approach to equivalence among semantic data model schemata, ICS Research Report Warsaw University of Technology, 7/93

    Google Scholar 

  20. D. Shipman. The functional data model and the data language DAPLEX. ACM TODS 6(1), (1981).

    Google Scholar 

  21. A. Sheith and J. Larson. Federated database systems for managing distributed, heterogenous, and automous databases. ACM Computing Surveys, 22(3), 183–236 (1990).

    Article  Google Scholar 

  22. D. Smith and J. Smith. Database abstractions: aggregation and generalization. ACM TODS 2(2), (1977).

    Google Scholar 

  23. J. Vorbach. A graph theoretic approach for deriving meta-level information from schemata, Proc. of GWS Conf. on Intelligent Systems (1992)

    Google Scholar 

  24. Proc.of the ER'93 Conference (1993).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Ramez A. Elmasri Vram Kouramajian Bernhard Thalheim

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chudziak, J.A., Rybinski, H., Vorbach, J. (1994). Towards a unifying logic formalism for semantic data models. In: Elmasri, R.A., Kouramajian, V., Thalheim, B. (eds) Entity-Relationship Approach — ER '93. ER 1993. Lecture Notes in Computer Science, vol 823. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0024390

Download citation

  • DOI: https://doi.org/10.1007/BFb0024390

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58217-5

  • Online ISBN: 978-3-540-48575-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics