Abstract
The semantic validation of a knowledge base (KB) consists in checking its quality according to constraints given by an expert. The refinement of a KB consists in correcting the errors that are detected during the validation, in order to restore the KB validity. We propose to perform the semantic validation and refinement of a KB composed of conceptual graphs in two stages. First, we study the coherence of the KB with respect to negative constraints, which represent the knowledge that the KB must not contain. When the KB is not coherent, we propose a solution to correct all the errors of the KB. Second, we study the completeness of the KB with respect to positive constraints, which represent the knowledge that the KB must contain. When the KB is not complete, we propose an assistant, which helps the user to correct the errors of the KB one by one.
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References
M.C. Rousset. On the consistency of knowledge bases: the COVADIS system. European Conference of Artificial Intelligence, ECAI’88, pages 79–84, 1988.
P. Meseguer. Verification of multi-level rule-based expert systems. National conference of American Association of Artificial Intelligence, AAAI’91, pages 323–328, 1991.
S. Loiseau. Refinement of knowledge bases based on consistency. European Conference of Artificial Intelligence, ECAI’92, pages 845–849, 1992.
A. Preece and N. P. Zlatareva. A state of the art in automated validation of knowledge-based systems. Expert Systems with Applications, 7(2):151–167, 1994.
C. Haouche and J. Charlet. KBS validation: a knowledge acquisition perspective. European Conference of Artificial Intelligence, ECAI’96, pages 433–437, 1996.
F. Sellini. Contribution á la représentation et á la vérification de modéles de connaissances produits en ingéniérie d’ensembles mécaniques. PhD thesis, Ecole Centrale de Paris, mars 1999.
M.C. Rousset and A.Y. Levy. Verification of knowledge bases based on containment checking. national conference of American Association of Artificial Intelligence, AAAI’96, pages 585–591, 1996.
P. Hors and M.C. Rousset. Modeling and verifying complex objects: A declarative approach based on description logics. European Conference of Artificial Intelligence, ECAI’96, pages 328–332, 1996.
A. D. Preece, R. Shinghal, and A. Batarekh. Verifying expert systems: a logical framework and a pratical tool. Expert Systems with Applications, 5(3/4):421–436, 1992.
F. Bouali, S. Loiseau, and M. C. Rousset. Revision of rule bases. EUROpean conference on VAlidation and Verification of knowledge based systems, EUROVAV’97, pages 193–201, 1997.
J.F. Sowa. Conceptual structures: information processing in mind and machine. Addison Wesley Publishing Company, 1984.
M.L. Mugnier and M. Chein. Représenter des connaissances et raisonner avec des graphes. Revue d’Intelligence Artificielle, 10(1):7–56, 1996.
J. Dibie, O. Haemmerlé, and S. Loiseau. A semantic validation of conceptual graphs. In Proceedings of the 6th International Conference on Conceptual Structures, ICCS’98, Lecture Notes in Artificial Intelligence, pages 80–93, Montpellier, France, august 1998. Springer Verlag.
P. Kocura. Conceptual graph canonicity and semantic constraints. In Peter W. Eklund, Gerard Ellis, and Graham Mann, editors, Conceptual Structures: Knowledge Representation as Interlingua-Auxilliary Proceedings of the 4th International Conference on Conceptual Structures, pages 133–145, Sydney, Australia, August 1996. Springer Verlag.
G. W. Mineau and R. Missaoui. The representation of semantic constraints in conceptual graph systems. In Proceedings of the 5th International Conference on Conceptual Structures, ICCS’97, Lecture Notes in Artificial Intelligence 1257, pages 138–152, Seattle, U.S.A., 1997. Springer Verlag.
J. Dibie-Barthélemy. Validation et Réparation des Graphes Conceptuels. PhD thesis, Université PARIS-IX Dauphine, octobre 2000.
M. Chein and M.L. Mugnier. Conceptual graphs: fundamental notions. Revue d’Intelligence Artificielle, 6(4):365–406, 1992.
R. Reiter. A theory of diagnosis from first principles. Artificial Intelligence, 32:57–95, 1987.
T. A. Nguyen, W. A. Perkins, T. J. Laffrey, and D. Pecora. Checking an expert system knowledge base for consistency and completness. International Join Conference of Artificial Intelligence, IJCAI’85, 1:375–378, 1985.
A. Ginsberg. Knowledge-base reduction: a new approach to checking knowledge bases for inconsistency and redundancy. National conference of American Association of Artificial Intelligence, AAAI’88, pages 585–589, 1988.
M. J. Pazzani and C. A. Brunk. Detecting and correcting errors in rule-based expert systems: an integration of empirical and explanation-based learning. Knowledge Acquisition, 3:157–173, 1991.
O. Haemmerlé. CoGITo: une plate-forme de développement de logiciels sur les graphes conceptuels. PhD thesis, Université Montpellier II, Janvier 1995.
R. Dieng. Comparison of conceptual graphs for modelling knowledge of multiple experts: application to traffic accident analysis. Rapport de recherche 3161, INRIA, Sophia Antipolis, Avril 1997.
L. Sombé. Révision de bases de connaissances. Actes des quatriémes journées nationales PRC-GDR en Intelligence Artificielle, 1992.
J. McCarthy. Circumscription: a form of non-monotonic reasonning. Artificial Intelligence, 13(1-2):27–39, 1980.
D. Makinson and P. Gärdenfors. Relations between the logic of theory change and nonmonotonic logic. In A. Fuhrmann and M. MOrreau, editors, The logic of theory change, Lecture Notes in Artificial Intelligence 465, pages 185–205, Berlin, 1991. Springer Verlag.
J. de Kleer. An assumption-based truth-maintenance system. Artificial Intelligence, 28(2):127–224, 1986.
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Dibie-Barthélemy, J., Haemmerlé, O., Loiseau, S. (2001). Refinement of Conceptual Graphs. In: Delugach, H.S., Stumme, G. (eds) Conceptual Structures: Broadening the Base. ICCS 2001. Lecture Notes in Computer Science(), vol 2120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44583-8_16
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DOI: https://doi.org/10.1007/3-540-44583-8_16
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