Abstract
In this paper, we investigate condensation of a clause. First, we extend a substitution graph introduced by Scheffer et al. (1996) to a total matcher graph. Then, we give a correct proof of the relationship between subsumption and the existence of cliques in a total matcher graph. Next, we introduce the concept of width of a clique in a total matcher graph. As a corollary of the above relationship, we show that the minimum condensation of a clause is corresponding to the clique with the minimum width in a total matcher graph. Finally, we design a greedy algorithm of finding condensation of a clause, as the algorithm of finding cliques with as small width as possible from the total matcher graph of a clause.
This work is partially supported by Japan Society for the Promotion of Science, Grants-in-Aid for Encouragement of Young Scientists (B) 15700137 and for Scientific Research (B) 13558036.
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References
Arimura, H.: Learning acyclic first-order Horn sentences from entailment. In: Li, M. (ed.) ALT 1997. LNCS (LNAI), vol. 1316, pp. 432–445. Springer, Heidelberg (1997)
Boppana, R., Halldórsson, M.M.: Approximating maximum independent sets by excluding subgraphs. BIT 32, 180–196 (1992)
Baxter, L.D.: The complexity of unification, Doctoral Thesis, Department of Computer Science, University of Waterloo (1977)
Carraghan, R., Pardalos, P.: An exact algorithm for the maximum clique problem. Operations Research Letters 9, 375–382 (1990)
Chang, C.-L., Lee, R.C.-T.: Symbolic logic and mechanical theorem proving. Academic Press, London (1973)
Chekuri, C., Rajaraman, A.: Conjunctive query containment revised. Theoretical Computer Science 239, 211–229 (2000)
Garey, M.R., Johnson, D.S.: Computers and intractability: A guide to the theory of NP-completeness. W.H. Freeman and Company, New York (1979)
Gottlob, G., Fermüller, C.G.: Removing redundancy from a clause. Artificial Intelligence 61, 263–289 (1993)
Horváth, T., Sloan, R.H., Turán, G.: Learning logic programs by using the product homomorphism method. In: Proc. 10th Annual Workshop on Computational Learning Theory, pp. 10–20 (1997)
Horváth, T., Turán, G.: Learning logic programs with structured background knowledge. In: de Raedt, L. (ed.) Advances in inductive logic programming, pp. 172–191. IOS Press, Amsterdam (1996)
Joyner, W.H.: Resolution strategies as decision procedures. Journal of the ACM 23, 398–417 (1976)
Leitsch, A.: The resolution calculus. Springer, Heidelberg (1997)
Lloyd, J.W.: Foundations of logic programming (2nd extended edition). Springer, Heidelberg (1987)
Maloberti, J., Sebag, M.: θ-subsumption in a constraint satisfaction perspective. In: Rouveirol, C., Sebag, M. (eds.) ILP 2001. LNCS (LNAI), vol. 2157, pp. 164–178. Springer, Heidelberg (2001)
Nienhuys-Cheng, S.-H., de Wolf, R. (eds.) Foundations of Inductive Logic Programming. LNCS (LNAI) , vol. 1228. Springer, Heidelberg (1997)
Plotkin, G.D.: A note on inductive generalization. Machine Intelligence 5, 153–163 (1970)
Reddy, C., Tadepalli, P.: Learning first-order acyclic Horn programs from entailment. In: Proc. 15th International Conference on Machine Learning, pp. 472–480 (1998)
Reddy, C., Tadepalli, P.: Learning Horn definitions: Theory and application to planning. New Generation Computing 17, 77–98 (1999)
Scheffer, T., Herbrich, R., Wysotzki, F.: Efficient θ-subsumption based on graph algorithms. In: ILP 1996. LNCS (LNAI), vol. 1314, pp. 212–228. Springer, Heidelberg (1997)
van der Laag, P.R.J.: An analysis of refinement operators in inductive logic programming, Ph.D. Thesis, Tinbergen Institute (1995)
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Hirata, K. (2003). On Condensation of a Clause. In: Horváth, T., Yamamoto, A. (eds) Inductive Logic Programming. ILP 2003. Lecture Notes in Computer Science(), vol 2835. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39917-9_12
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DOI: https://doi.org/10.1007/978-3-540-39917-9_12
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