Fourth International Conference Document Analysis and Recognition (ICDAR'97) Information Capture and Semantic Indexing of Digital Libraries through Machine Learning Techniques Ulm, GERMANY August 18-August 20 ISBN: 0-8186-7898-4
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.
Citation:
Floriana Esposito, Donato Malerba, Giovanni Semeraro, Cesare Daniele Antifora, Gioacchino de Gennaro, "Information Capture and Semantic Indexing of Digital Libraries through Machine Learning Techniques," icdar, pp.722, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||