Table of contents recognition for converting PDF documents in e-book formats
Proceedings of the 10th ACM symposium on Document engineering
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INEX'09 Proceedings of the Focused retrieval and evaluation, and 8th international conference on Initiative for the evaluation of XML retrieval
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ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
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Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
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Journal of Grid Computing
Searching online book documents and analyzing book citations
Proceedings of the 2013 ACM symposium on Document engineering
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We present a method for structuring a document according to the information present in its different organizational tables: table of contents, tables of figures, etc. This method is based on a two-step approach that leverages functional and formal (layout-based) kinds of knowledge. The functional definition of organizational table, based on five properties, is used to provide a first solution, which is improved in a second step by automatically learning the form of the table of contents. We also report on the robustness and performance of the method and we illustrate its use in a real conversion case.