Information Capture and Semantic Indexing of Digital Libraries through Machine Learning Techniques

  • Authors:
  • Floriana Esposito;Donato Malerba;Giovanni Semeraro;Cesare Daniele Antifora;Gioacchino de Gennaro

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
  • Year:
  • 1997

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Abstract

This paper presents a prototypical digital library service. It integrates machine learning tools and techniques in order to make effective, efficient and economically feasible the process of capturing the information that should be stored and indexed by content in the digital library. In fact, information capture is one of the main bottlenecks when building a digital library, since it involves complex pattern recognition problems, such as document analysis, classification and understanding. Experimental results show that learning systems can solve effectively and efficiently all these problems.