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Content Analysis of Scientific Articles in Apache Hadoop Ecosystem

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Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation

Part of the book series: Studies in Computational Intelligence ((SCI,volume 541))

Abstract

Content Analysis System (CoAnSys) is a research framework for mining scientific publications using Apache Hadoop. This article describes the algorithms currently implemented in CoAnSys including classification, categorization and citation matching of scientific publications. The size of the input data classifies these algorithms in the range of big data problems, which can be efficiently solved on Hadoop clusters.

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Notes

  1. 1.

    https://github.com/DigitalPebble/behemoth

  2. 2.

    http://code.google.com/p/protobuf/

  3. 3.

    http://pig.apache.org/

  4. 4.

    http://oozie.apache.org/

  5. 5.

    http://polon.nauka.gov.pl

  6. 6.

    http://www.synat.pl/

  7. 7.

    http://www.openaire.eu/

  8. 8.

    http://nicta.github.com/scoobi/

  9. 9.

    http://bazhum.icm.edu.pl/

  10. 10.

    http://bazekon.icm.edu.pl/

  11. 11.

    http://baztech.icm.edu.pl/

  12. 12.

    http://agro.icm.edu.pl/

  13. 13.

    http://cejsh.icm.edu.pl/

  14. 14.

    http://pldml.icm.edu.pl/

  15. 15.

    http://przyrbwn.icm.edu.pl/

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Authors and Affiliations

  1. Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, Warsaw, Poland

    Piotr Jan Dendek, Artur Czeczko, Mateusz Fedoryszak, Adam Kawa, Piotr Wendykier & Ɓukasz Bolikowski

Authors
  1. Piotr Jan Dendek
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  2. Artur Czeczko
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  3. Mateusz Fedoryszak
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  4. Adam Kawa
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  5. Piotr Wendykier
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  6. Ɓukasz Bolikowski
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Corresponding authors

Correspondence to Piotr Jan Dendek , Artur Czeczko , Mateusz Fedoryszak , Adam Kawa , Piotr Wendykier or Ɓukasz Bolikowski .

Editor information

Editors and Affiliations

  1. Faculty of Electronics and Information Technology, Warsaw University of Technology, Institute of Computer Science, Warsaw, Poland

    Robert Bembenik

  2. Faculty of Electronics and Information Technology, Warsaw University of Technology, Institute of Computer Science, Warsaw, Poland

    Ɓukasz Skonieczny

  3. Faculty of Electronics and Information Technology, Warsaw University of Technology, Institute of Computer Science, Warsaw, Poland

    Henryk RybiƄski

  4. Faculty of Electronics and Information Technology, Warsaw University of Technology, Institute of Computer Science, Warsaw, Poland

    Marzena Kryszkiewicz

  5. InterdisciplinaryCentre for Mathematical and Computational Modelling (ICM), University of Warsaw, Warsaw, Poland

    Marek NiezgĂłdka

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Dendek, P.J., Czeczko, A., Fedoryszak, M., Kawa, A., Wendykier, P., Bolikowski, Ɓ. (2014). Content Analysis of Scientific Articles in Apache Hadoop Ecosystem. In: Bembenik, R., Skonieczny, Ɓ., RybiƄski, H., Kryszkiewicz, M., Niezgódka, M. (eds) Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation. Studies in Computational Intelligence, vol 541. Springer, Cham. https://doi.org/10.1007/978-3-319-04714-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-04714-0_10

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  • Online ISBN: 978-3-319-04714-0

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