Project D.A.M.A.: Document Acquisition, Management and Archiving

  • Michelangelo Ceci
  • Corrado Loglisci
  • Stefano Ferilli
  • Donato Malerba
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 249)

Abstract

A paper document processing system is an information system component which transforms information on printed or handwritten documents into a computer-revisable form. In intelligent systems for paper document processing this information capture process is based on knowledge of the specific layout and logical structures of the documents. In this project we design a framework which combines technologies for the acquisition and storage of printed documents with knowledge-based techniques to represent and understand the information they contain. The innovative aspects of this work strengthen its applicability to tools that have been developed for building digital libraries.

Keywords

Logical Structure Document Image Inductive Logic Programming Paper Document Logical Component 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Ceci, M., Berardi, M., Malerba, D.: Relational data mining and ILP for document image understanding. Applied Artificial Intelligence 21(4&5), 317–342 (2007)CrossRefGoogle Scholar
  2. 2.
    Esposito, F., Malerba, D., Semeraro, G., Ferilli, S., Altamura, O., Basile, T.M.A., Berardi, M., Ceci, M., Di Mauro, N.: Machine learning methods for automatically processing historical documents: From paper acquisition to XML transformation. In: DIAL, pp. 328–335. IEEE Computer Society (2004)Google Scholar
  3. 3.
    Malerba, D., Ceci, M., Berardi, M.: Machine learning for reading order detection in document image understanding. In: Marinai, S., Fujisawa, H. (eds.) Machine Learning in Document Analysis and Recognition. SCI, vol. 90, pp. 45–69. Springer, Heidelberg (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Michelangelo Ceci
    • 1
  • Corrado Loglisci
    • 1
  • Stefano Ferilli
    • 1
  • Donato Malerba
    • 1
  1. 1.Department of Computer ScienceUniversity of Bari “Aldo Moro”Italy

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