Document Classification and Interpretation through the Inference of Logic-Based Models

  • Giovanni Semeraro
  • Stefano Ferilli
  • Nicola Fanizzi
  • Floriana Esposito
Conference paper

DOI: 10.1007/3-540-44796-2_6

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2163)
Cite this paper as:
Semeraro G., Ferilli S., Fanizzi N., Esposito F. (2001) Document Classification and Interpretation through the Inference of Logic-Based Models. In: Constantopoulos P., Sølvberg I.T. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2001. Lecture Notes in Computer Science, vol 2163. Springer, Berlin, Heidelberg

Abstract

We present a methodology for document processing that exploits logic-based machine learning techniques. Our claim is that information capture and indexing can profit by the identification of the document class and of specific function of its single layout components. Indeed, the application of incremental and multistrategy machine learning techniques, rather than the classic ones, allows for an efficient solution to the problem of information capture.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Giovanni Semeraro
    • 1
  • Stefano Ferilli
    • 1
  • Nicola Fanizzi
    • 1
  • Floriana Esposito
    • 1
  1. 1.Dipartimento di InformaticaUniversità di BariBariItaly

Personalised recommendations