Skip to main content

Unification over Constraints in Conceptual Graphs

  • Conference paper
Book cover Conceptual Structures: Standards and Practices (ICCS 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1640))

Included in the following conference series:

Abstract

The Conceptual Structures community has recently shown increased interest in methods and formalisms for the use of constraints in Conceptual Graphs (CGs), especially the definition of unification over constraints. None of the recent proposed constraint methods, however, are able to use simple unification methods, and still guarantee that a graph which is structurally valid under the canonical formation rules is also semantically valid in the knowledge domain. Our approach defines a method (and concept type) for constraining real values in the referent of a concept. The significance of our work is that a simple unification operation, using join and type subsumption, is defined which can be used to validate the constraints over an entire unified graph. A useful side-effect is that this constraint method can also be used to define real numbers in a referent.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Cao, T.H., P.N. Creasy, and V. Wuwongse. “Fuzzy Unification and Resolution Proof Procedure for Fuzzy Conceptual Graph Programs,” in Proc. Fifth International Conference on Conceptual Structures, August, 1997. Seattle, Washington, USA: Springer-Verlag. Published as Lecture Notes in Artificial Intelligence #1257.

    Google Scholar 

  2. Chein, M. and M.-L. Mugnier, “Conceptual Graphs: Fundamental Notions,” Revue d’Intelligence Artificielle, 1992. 6(4): p. 365–406.

    Google Scholar 

  3. Dibie, J., O. Haemmerl, and S. Loiseau. “A Semantic Validation of Conceptual Graphs,” in Proc. Sixth International Conference on Conceptual Structures, August, 1998. Montpellier, France: Springer-Verlag. Published as Lecture Notes in Artificial Intelligence #1453.

    Google Scholar 

  4. Kocura, P. “Conceptual Graphs and Semantic Constraints,” in Proc. Fourth International Conference on Conceptual Structures, August, 1996. Sydney, NSW, Australia: University of NSW Press.

    Google Scholar 

  5. Mineau, G.W. and R. Missaoui. “The Representation of Semantic Constraints in Conceptual Graph Systems,” in Proc. Fifth International Conference on Conceptual Structures, August, 1997. Seattle, Washinton, USA: Springer-Verlag. Published as Lecture Notes in Artificial Intelligence #1257.

    Google Scholar 

  6. Mugnier, M.-L. and M. Chein, “Repr senter des Connaissances et Raisonner avec des Graphes,” Revue d’Intelligence Artificielle, 1996. 10(6): p. 7–56.

    MATH  Google Scholar 

  7. MŸller, T., Conceptual Graphs as Terms: Prospects for Resolution Theorem Proving, 1997, Masters Thesis, Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.

    Google Scholar 

  8. Sowa, J.F., Conceptual Structures: Information Processing in Mind and Machine. 1984, Reading, Mass: Addison-Wesley.

    MATH  Google Scholar 

  9. Van Hentenryck, P., Constraint Satisfaction in Logic Programming. Logic Programming, ed. E. Shapiro. 1989, Cambridge, Massachusetts, USA: MIT Press.

    Google Scholar 

  10. Van Hentenryck, P., L. Michel, and Y. Deville, Numerica. 1997, Cambridge, Massachusetts, USA: MIT Press.

    Google Scholar 

  11. Wille, R. “Conceptual Graphs and Formal Concept Analysis,” in Proc. Fifth International Conference on Conceptual Structures, August, 1997. Seattle, Washington, USA: Springer-Verlag. Published as Lecture Notes in Artificial Intelligence #1257.

    Google Scholar 

  12. Willems, M. “Projection and Unification for Conceptual Graphs,” in Proc. Third International Conference on Conceptual Structures, August, 1995. Santa Cruz, California, USA: Springer-Verlag. Published as Lecture Notes in Artificial Intelligence #954.

    Google Scholar 

  13. Wuwongse, V. and T.H. Cao. “Towards Fuzzy Conceptual Graph Programs,” in Proc. Fourth International Conference on Conceptual Structures, August, 1996. Sydney, Australia: Springer-Verlag. Published as Lecture Notes in Artificial Intelligence #1115.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Corbett, D., Woodbury, R. (1999). Unification over Constraints in Conceptual Graphs. In: Tepfenhart, W.M., Cyre, W. (eds) Conceptual Structures: Standards and Practices. ICCS 1999. Lecture Notes in Computer Science(), vol 1640. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48659-3_30

Download citation

  • DOI: https://doi.org/10.1007/3-540-48659-3_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66223-5

  • Online ISBN: 978-3-540-48659-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics