Document classification and interpretation through the inference of logic-based models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2163, Issue , 2001, Pages 59-70

  Semeraro, Giovanni ^a   Ferilli, Stefano ^a   Fanizzi, Nicola ^a   Esposito, Floriana ^a  

^a UNIVERSITY OF BARI   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CIRCUITS; LEARNING ALGORITHMS; MACHINE LEARNING;

DOCUMENT CLASSIFICATION; DOCUMENT-PROCESSING; LOGIC-BASED MODELS; MACHINE LEARNING TECHNIQUES;

DIGITAL LIBRARIES;

EID: 84931826515     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44796-2_6     Document Type: Conference Paper

References (11)

1. [1] O. Altamura, F. Esposito, and D. Malerba. Transforming paper documents into XML format with WISDOM++. International Journal on Document Analysis and Recognition, 2001. To appear.
2. [2] H. Brocks, U. Thiel, A. Stein, and A. Dirsch-Weigand. Customizable retrieval functions based on user tasks in the cultural heritage domain. In this book.
3. [3] F. Esposito, D. Malerba, and F.A. Lisi. Machine learning for intelligent processing of printed documents. Journal of Intelligent Information Systems, 14(2/3):175–198, 2000.
4. [4] F. Esposito, D. Malerba, G. Semeraro, N. Fanizzi, and S. Ferilli. Adding machine learning and knowledge intensive techniques to a digital library service. International Journal of Digital Libraries, 2(1):3–19, 1998.
5. [5] F. Esposito, G. Semeraro, N. Fanizzi, and S. Ferilli. Multistrategy Theory Revision: Induction and abduction in INTHELEX. Machine Learning, 38(1/2):133–156, 2000.
6. [6] E.A. Fox. How to make intelligent digital libraries. In Z.W. Raś and M. Zemankova, editors, Proceedings of the 8th International Symposium on Methodologies for Intelligent Systems, volume 869 of LNAI, pages 27–38. Springer, 1994.
7. [7] X. Li and P. Ng. A document classification and extraction system with learning ability. In Proceedings of the 5th International Conference on Document Analysis and Recognition, pages 197–200, 1999.
8. [8] G. Nagy. Twenty years of document image analysis in PAMI. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(1):38–62, 2000.
9. [9] F. Sebastiani. Machine learning in automated text categorization. Technical Report Technical Report IEI:B4-31-12-99, CNR - IEI, Pisa, Italy, 1999. Rev. 2001.
10. [10] G. Semeraro, F. Esposito, D. Malerba, N. Fanizzi, and S. Ferilli. Machine learning + on-line libraries = IDL. In C. Peters and C. Thanos, editors, Research and Advanced Technology for Digital Libraries. First European Conference - ECDL97, volume 1324 of LNCS, pages 195–214. Springer, 1997.
11. [11] Y. Tang, S. Lee, and C. Suen. Automatic document processing: A survey. Pattern Recognition, 29(2):1931–1952, 1996.