Semantic-Based Access to Digital Document Databases

Abstract. Discovering significant meta-information from document collections is a critical factor for knowledge distribution and preservation. This paper presents a system that implements intelligent document processing techniques, by combining strategies for the layout analysis of electronic documents with incremental first-order learning in order to automatically classify the documents and their layout components according to their semantics. Indeed, an in-deep analysis of specific layout components can allow the extraction of useful information to improve the semantic-based document storage and retrieval tasks. The viability of the proposed approach is confirmed by experiments run in the realworld application domain of scientific papers.

• Type: Conference
• Year: 2005
• Where: ISMIS
• Authors: Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
• Keywords: Document, Intelligent Document Processing, ISMIS 2005, Layout Components