Abstract
This work presents the application of a first-order logic incremental learning system, INTHELEX, to learn rules for the automatic identification of a wide range of significant document classes and their related components. Specifically, the material includes multi-format cultural heritage documents concerning European films from the 20’s and 30’s provided by the EU project COLLATE. Incrementality plays a key role when the set of documents is continuously augmented. To ensure that there is no performance loss with respect to classical one-step systems, a comparison with Progol was carried out. Experimental results prove that the proposed approach is a viable solution, for both its performance and its effectiveness in the document processing domain.
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References
Becker, J.M.: Inductive learning of decision rules with exceptions: Methodology and experimentation. B.s. diss., Dept. of Computer Science, University of Illinois at Urbana- Champaign, Urbana, Illinois, USA (1985)
Dietterich, T.G.: Approximate statistical test for comparing supervised classification learning algorithms. Neural Computation 10(7), 1895–1923 (1998)
Esposito, F., Semeraro, G., Fanizzi, N., Ferilli, S.: Multistrategy Theory Revision: Induction and abduction in INTHELEX. Machine Learning Journal 38(1/2), 133–156 (2000)
Esposito, F., Malerba, D., Lisi, F.A.: Machine learning for intelligent processing of printed documents. Journal of Intelligent Information Systems 14(2/3), 175–198 (2000)
Esposito, F., Fanizzi, N., Ferilli, S., Semeraro, G.: Refining logic theories under oiimplication. In: Ohsuga, S., Raś, Z.W. (eds.) ISMIS 2000. LNCS (LNAI), vol. 1932, pp. 109–118. Springer, Heidelberg (2000)
Kouzes, R.T., Myers, J.D., Wulf, W.A.: Collaboratories: Doing science on the internet. IEEE Computer 29(8) (1996)
Lamma, E., Mello, P., Riguzzi, F., Esposito, F., Ferilli, S., Semeraro, G.: Cooperation of abduction and induction in logic programming. In: Kakas, A.C., Flach, P. (eds.) Abductive and Inductive Reasoning: Essays on their Relation and Integration, Kluwer, Dordrecht (2000)
Lloyd, J.W.: Foundations of Logic Programming, 2nd edn. Springer, Berlin (1987)
Michalski, R.S.: Inferential theory of learning. developing foundations for multistrategy learning. In: Michalski, R.S., Tecuci, G. (eds.) Machine Learning. A Multistrategy Approach, vol. IV, pp. 3–61. Morgan Kaufmann, San Mateo (1994)
Muggleton, S.: Inverse entailment and Progol. New Generation Computing, Special issue on Inductive Logic Programming 13(3-4), 245–286 (1995)
Semeraro, G., Esposito, F., Malerba, D., Fanizzi, N., Ferilli, S.: A logic framework for the incremental inductive synthesis of Datalog theories. In: Fuchs, N.E. (ed.) LOPSTR 1997. LNCS, vol. 1463, pp. 300–321. Springer, Heidelberg (1998)
Semeraro, G., Fanizzi, N., Ferilli, S., Esposito, F.: Document classification and interpretation through the inference of logic-based models. In: Constantopoulos, P., Sølvberg, I.T. (eds.) ECDL 2001. LNCS, vol. 2163, pp. 59–70. Springer, Heidelberg (2001)
Zucker, J.D.: Semantic abstraction for concept representation and learning. In: Michalski, R.S., Saitta, L. (eds.) Proceedings of the 4th International Workshop on Multistrategy Learning, Desenzano del Garda, Italy (1998)
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Basile, T.M.A., Ferilli, S., Di Mauro, N., Esposito, F. (2004). Incremental Induction of Classification Rules for Cultural Heritage Documents. In: Orchard, B., Yang, C., Ali, M. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2004. Lecture Notes in Computer Science(), vol 3029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24677-0_94
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DOI: https://doi.org/10.1007/978-3-540-24677-0_94
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