PostScript language reference manual (2nd ed.)
PostScript language reference manual (2nd ed.)
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reasoning about Binary Topological Relations
SSD '91 Proceedings of the Second International Symposium on Advances in Spatial Databases
Two Geometric Algorithms for Layout Analysis
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Citation Recognition for Scientific Publications in Digital Libraries
DIAL '04 Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL'04)
Intelligent methodologies for scientific conference management
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Automatic topics identification for reviewer assignment
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
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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 real-world application domain of scientific papers.