Towards Increasing Density of Relations in Category Graphs

  • Karol Draszawka
  • Julian Szymański
  • Henryk Krawczyk
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 541)

Abstract

In the chapter we propose methods for identifying new associations between Wikipedia categories. The first method is based on Bag-of-Words (BOW) representation of Wikipedia articles. Using similarity of the articles belonging to different categories allows to calculate the information about categories similarity. The second method is based on average scores given to categories while categorizing documents by our dedicated score-based classifier. As a result of application of presented methods we obtain weighed category graphs that allow to extend original relations between Wikipedia categories. We propose the method for selecting the weight value for cutting off less important relations. The given preliminary examination of the quality of obtained new relations supports our procedure.

Keywords

Associations mining Information retrieval Text documents categorization 

Notes

Acknowledgments

This work has been supported by the National Centre for Research and Development (NCBiR) under research Grant No. SP/I/1/77065/1 SYNAT: “Establishment of the universal, open, hosting and communication, repository platform for network resources of knowledge to be used by science, education and open knowledge society”.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Karol Draszawka
    • 1
  • Julian Szymański
    • 1
  • Henryk Krawczyk
    • 1
  1. 1.Department of Computer Systems ArchitectureGdańsk University of TechnologyGdańskPoland

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