System for the Researcher Map to Promote Convergence Research

  • Sangwon HwangEmail author
  • Kangwon Seo
  • Woncheol Ryu
  • Youngkwang Nam
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 474)


As times change, research methods require dramatic changes such as convergence, innovation of research efforts by institutions with similar research goals. Corporations and universities are currently focusing on the development of convergence technologies. This study focused on the role of universities, which can influence the development of such convergence technologies, and developed a researcher map system that provides information to facilitate academic–industrial collaborations for convergence. The system developed in this paper conducted Morpheme analysis, measured keyword similarity, and performed topic modeling based on the titles, keywords, and abstracts of the papers and projects of researchers in different fields to compare semantically similar topics. The results demonstrated higher accuracy than simply calculating the similarity between words.


Researcher map Word similarity Natural language process Morpheme analyzer Topic modeling LDA 



This research was supported by Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2014M3C4A7030505).


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Sangwon Hwang
    • 1
    Email author
  • Kangwon Seo
    • 1
  • Woncheol Ryu
    • 1
  • Youngkwang Nam
    • 1
  1. 1.Department of Computer ScienceYonsei UniversityWonjuSouth Korea

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