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Semantic Recognition of Digital Documents

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Intelligent Tools for Building a Scientific Information Platform

Part of the book series: Studies in Computational Intelligence ((SCI,volume 390))

Abstract

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.

The authors are supported by the grant N N516 077837 from the Ministry of Science and Higher Education of the Republic of Poland and by the National Centre for Research and Development (NCBiR) under Grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program: “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.

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References

  1. Consortium BazTech: BazTech - Database of the Polish Technical Journal Contents (2011), http://baztech.icm.edu.pl/

  2. The DBPedia Community: The DBPedia Knowledge Base (2011), http://DBpedia.org

  3. PubMed Central, http://www.ncbi.nlm.nih.gov/pmc/

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Author information

Authors and Affiliations

  1. Faculty of Mathematics, Computer Science and Mechanics, University of Warsaw, Banacha 2, 02-097, Warsaw, Poland

    Paweł Betliński, Paweł Gora, Kamil Herba, Trung Tuan Nguyen & Sebastian Stawicki

Authors
  1. Paweł Betliński
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  2. Paweł Gora
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  3. Kamil Herba
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  4. Trung Tuan Nguyen
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  5. Sebastian Stawicki
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Corresponding author

Correspondence to Paweł Betliński .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, Faculty of Electronics and Information, Warsaw University of Technology, Ul. Nowowiejska 15/19, Warsaw, 00-665, Poland

    Robert Bembenik

  2. Institute of Computer Science, Faculty of Electronics and Information, Warsaw University of Technology, Ul. Nowowiejska 15/19, Warsaw, 00-665, Poland

    Lukasz Skonieczny

  3. Institute of Computer Science, Faculty of Computer Science and, Warsaw University of Technology, ul. Zolnierska 49, Warsaw, 00-665, Poland

    Henryk Rybiński

  4. , Interdisciplinary Centre for Mathematica, University of Warsaw, Ul. Pawińskiego 5a, Warsaw, 02-106, Poland

    Marek Niezgodka

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Betliński, P., Gora, P., Herba, K., Nguyen, T.T., Stawicki, S. (2012). Semantic Recognition of Digital Documents. In: Bembenik, R., Skonieczny, L., Rybiński, H., Niezgodka, M. (eds) Intelligent Tools for Building a Scientific Information Platform. Studies in Computational Intelligence, vol 390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24809-2_7

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  • DOI: https://doi.org/10.1007/978-3-642-24809-2_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24808-5

  • Online ISBN: 978-3-642-24809-2

  • eBook Packages: EngineeringEngineering (R0)

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