Munui Kim
Department of Library and Information Science, Yonsei University
Contact: munui0822@gmail.com
RESEARCH INTEREST
Text Mining, Citation Network Analysis, Knowledge Diffusion, Bibliometrics, Bioinformatics
EDUCATION
March 2016 - | PhD Student, Department of Library and Information Science, Yonsei University
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August 2012 - May 2014 | M.A., Department of Library and Information Science, University of Illinois Urbana-Champaign
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March 2008 - February 2012 | B.A., Department of Library and Information Science, Chonnam National University |
PUBLICATION
Journal Papers
2018 | Kim, M., Baek, S. H., & Song, M. (2018). Relation extraction for biological pathway construction using node2vec. BMC Bioinformatics, 19(8), 206.
Song, M., Kim, M., Kang, K., Kim, Y., & Jeon, S. (2018). Application of Public Knowledge Discovery Tool (PKDE4J) to Represent Biomedical Scientific Knowledge. Frontiers in Research Metrics and Analytics, 3, 7. |
Kim, M., Baek, I., & Song, M. (2018). Topic diffusion analysis of a weighted citation network in biomedical literature. Journal of the Association for Information Science and Technology, 69(2), 329-342. |
Conference Paper
2017 | Kang, K.Y., Kim, M.U., Park L.E., Yang E.S. (2017). Document Recommendation for Music Therapists and Patients with Neural Disorders. In Proceedings of the Korean Society for Information Management Conference 2017. |
Posters
2016 | Kim, M.U., Baek, S.H. (2017, November). Relation Extraction in the Biological Pathway using Node2vec. Poster session presented at the 2017 ACM on Conference on Data and Text Mining in Bioinformatics (DTMBIO@CIKM 2017) |
RESEARCH EXPERIENCES
Research Project
Period | Project | Funding Institution | PI |
Sep. 2017 - present | Multi-facet Text-mining System Development for MCMT Analysis | Bio-Synergy Research Center | Min Song (Yonsei Univ.) |
Aug. 2016 – Sep. 2017 | 2016 Yonsei Junior Research for Convergence Science | ICONS (Institute of Convergence Science) | Min Song (Yonsei Univ.) |