System for the Researcher Map to Promote Convergence Research
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.
KeywordsResearcher 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).
- 1.Lee, K.R, Seong, T.K.: University-industry collaboration for activating the innovation of fusion technology. Technical report, STEPI (2009)Google Scholar
- 2.Lee, S.S.: Analytical study on the relationship between centralities of research networks and research performances, J. Korean Lib. Inf. Sci. Soc. 44, 405–428 (2013). Korean Library and Information Science SocietyGoogle Scholar