Author Profile Identification Using Formal Concept Analysis

  • Martin Radvanský
  • Zdeněk Horák
  • Miloš Kudělka
  • Václav Snášel
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 188)


This paper presents results of the finding of the author’s profiles using formal concepts generated from DBLP database. Our main aim was to evaluate the use of formal concept analysis as a method for extracting the author’s profiles. There are several commonly used methods for clustering and for finding experts in a large database. These methods are mainly based on different kinds of clustering and metrics which are sometimes difficult to understand. Finding experts for particular and mainly special areas of research is not an easy task. Formal concept analysis (FCA) is a method with a very strong mathematical background, which makes it easy to understand. Properties of FCA can give us a very strong tool for finding author’s profiles.


DBLP author profile formal concept analysis concept stability 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Martin Radvanský
    • 1
  • Zdeněk Horák
    • 1
  • Miloš Kudělka
    • 1
  • Václav Snášel
    • 1
  1. 1.VSB Technical University OstravaOstravaCzech Republic

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