Abstract
This paper studies canonical graphs, which are conceptual graphs derivable from a canonical basis. We provide several characterizations of canonical graphs and prove that the correspondence between notions of a projection and a derivation sequence (specialization) holds true for canonical graphs. We propose an algorithm for deciding whether a conceptual graph is canonical relative to a given canonical basis. The complexity of this algorithm is polynomially related to the complexity of computing a projection between two conceptual graphs. When the canonical basis is a set of trees, it is polynomial.
Preview
Unable to display preview. Download preview PDF.
References
M. Chein and M.L. Mugnier. Conceptual graphs: fundamental notions. Revue d'Intelligence Artificielle, 6(4), 1992. Also available as R.R. LIRMM, 188, Nov. 1991.
M. Chein and M.L. Mugnier. Specialization: where do the difficulties occur? In Proc. 7th Workshop on Conceptual Graphs, New Mexico State University, Las Cruces, New Mexico, 1992.
P. Kocura and K. Kwong Ho. Aspect of a Conceptual Graph Processor Design. In Proc. 6th Annual Workshop on Conceptual Graphs, 1991.
M.L. Mugnier and M. Chein. Polynomial algorithms for projection and matching. In Proc. 7th Workshop on Conceptual Graphs, New Mexico State University, Las Cruces, New Mexico, 1992.
J.F. Sowa. Conceptual structures — Information Processing in Mind and Machine. Addison-Wesley, 1984.
G. Sabah and A. Vilnat. Flexible Case Structure Implemented into a Deterministic Parser. In Proc. 6th Annual Workshop on Conceptual Graphs, 1991.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1993 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mugnier, M.L., Chein, M. (1993). Characterization and algorithmic recognition of canonical conceptual graphs. In: Mineau, G.W., Moulin, B., Sowa, J.F. (eds) Conceptual Graphs for Knowledge Representation. ICCS 1993. Lecture Notes in Computer Science, vol 699. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56979-0_16
Download citation
DOI: https://doi.org/10.1007/3-540-56979-0_16
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-56979-4
Online ISBN: 978-3-540-47848-5
eBook Packages: Springer Book Archive