2012 | OriginalPaper | Buchkapitel
Semantic Recognition of Digital Documents
verfasst von : Paweł Betliński, Paweł Gora, Kamil Herba, Trung Tuan Nguyen, Sebastian Stawicki
Erschienen in: Intelligent Tools for Building a Scientific Information Platform
Verlag: Springer Berlin Heidelberg
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The paper presents methods developed by the Methods of Semantic Recognition of Scientific Documents group in the research within the scope of the SYNAT project. It describes document representation format together with a proof of concept system converting scientific articles in PDF format into this representation. Another topic presented in the article is an experiment with clustering documents by style.