Machine Learning methods for automatically processing historical documents: From paper acquisition to XML transformation

Proceedings - First International Workshop on Document Image Analysis for Libraries - DIAL 2004

Volumn , Issue , 2004, Pages 328-335

  Esposito, F ^a   Malerba, D ^a   Semeraro, G ^a   Ferilli, S ^a   Altamura, O ^a   Basile, T M A ^a   Berardi, M ^a   Ceci, M ^a   Di Mauro, N ^a  

^a UNIVERSITY OF BARI   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

HISTORICAL DOCUMENTS; INTELLIGENT DOCUMENT PROCESSING; SEGMENTATION ALGORITHMS;

ALGORITHMS; AUTOMATION; DIGITAL LIBRARIES; HTML; OPTICAL CHARACTER RECOGNITION; PATTERN RECOGNITION; PROBLEM SOLVING; WEB BROWSERS; WORLD WIDE WEB; XML;

LEARNING SYSTEMS;

EID: 1942484316     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DIAL.2004.1263262     Document Type: Conference Paper

References (18)

1. Aiello M., Monz C., Todoran L. and M. Worring (2002). Document understanding for a broad class of documents. International Journal on Document Analysis and Recognition, vol 5.
2. Altamura, O.; Esposito, F. & Malerba, D. (2001). Transforming paper documents into XML format with WISDOM++. International Journal on Document Analysis and Recognition, vol. 4 pp. 2-17.
3. Ceri, S., Gottlob, G., & Tanca, L. (1989). What you always wanted to know about Datalog (and never dared to ask), IEEE Transactions on Knowledge and Data Engineering, 1, 1, pp. 146-166.
4. Dengel, A. (2003). Making Documents Work: challenges for document understanding, Proc. of Seventh International Conference on Document Analysis and Recognition, pp.1026-1037.
5. L. De Raedt(1992). Interactive Theory Revision. Academic Press, London.
6. Esposito, F.; Malerba, D. & Lisi, F.A. (2000). Machine Learning for intelligent processing of printed documents. Journal of Intelligent Information Systems 14(2/3): 175-198.
7. Esposito, F., Semeraro, G., Fanizzi, N. & Ferilli, S. (2000). Multistrategy Theory Revision: Induction and Abduction in INTHELEX. Machine Learning Journal, 38(1/2):133-156, Kluwer Academic Publisher.
8. Esposito F., Malerba, D., Semeraro, G., Fanizzi, N., Ferilli, S. (1998). Adding Machine Learning and Knowledge Intensive Techniques to a Digital Library Service. International Journal on Digital Libraries, 2(1): 1-17, Springer Verlag, Berlin.
9. S. Klink, A. Dengel, and T. Kieninger. Document structure analysis based on layout and textual features. In Proc. of Fourth IAPR International Workshop on Document Analysis Systems, DAS2000, pp 99-111.
10. Lloyd, J.W. (1987). Foundations of Logic Programming. Springer-Verlag, Berlin.
11. D. Malerba, F. Esposito, and F.A. Lisi (1998). Learning recursive theories with ATRE, in H. Prade (Ed.), Proceedings of the 13th European Conference on Artificial Intelligence, 435-439, John Wiley & Sons, England.
12. D. Malerba, F. Esposito, F.A. Lisi, and O. Altamura (2001). Automated Discovery of Dependencies Between Logical Components in Document Image Understanding. Proceedings of the Sixth International Conference on Document Analysis and Recognition, Seattle (WA), pp. 174-178.
13. D. Malerba, F. Esposito, O. Altamura, M. Ceci, and M. Berardi. Correcting the document Layout: a Machine Learning Approach. Proc. of Seventh International Conference on Document Analysis and Recognition, pp.97-103.
14. T.Mitchell (1997). Machine Learning. McGraw-Hill, New York.
15. G. Nagy, S. Seth and M. Viswanathan (1992) A Prototype Document Image Analysis System for Technical Journal, IEEE Computer, vol. 25, no. 7, pp.10-22.
16. Plotkin, G.D., (1971), A farther note on inductive generalization, in Machine Intelligence 6, B.
17. Semeraro, G., Esposito, F., Malerba, D., Fanizzi, N. & Ferilli, S. (1998). A Logic Framework for the Incremental Inductive Synthesis of Datalog Theories. In N. E. Fuchs (ed.), Logic Program Synthesis and Transformation, Lecture Notes in Computer Science 1463, (pp. 300-321), Springer, Berlin.
18. Wong, K.Y.; Casey, R.G. & Wahl, F.M. (1982). Document Analysis System. IBM Journal of Research Development,26(6):647/656.