A Comparison of Four Association Engines in Divergent Thinking Support Systems on Wikipedia

  • Kobkrit Viriyayudhakorn
  • Susumu Kunifuji
  • Mizuhito Ogawa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6746)


Associative information, e.g., associated documents, associated keywords, freelinks, and categories are potential sources for divergent thinking support. This paper compares four divergent thinking support engines using associative information extracted from Wikipedia. The first two engines adopt the association search engine GETA , and the last two engines find associations by using document structure. Their quality is compared by experiments with both quantitative and qualitative evaluations, using Eureka! interface, which was inspired by “Hasso-Tobi 2” divergent thinking support groupware.


Association Function Divergent Thinking Input Sentence Associative Information Topic Sentence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Kobkrit Viriyayudhakorn
    • 1
  • Susumu Kunifuji
    • 1
  • Mizuhito Ogawa
    • 1
  1. 1.Japan Advanced Institute of Science and TechnologyJapan

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