Minjoong, Lee


Ph.D. course
Information System Lab

Department of Computer Science, KAIST



Contact Information

  • E-mail : mjlee_AT_islab.kaist.ac.kr
  • Phone : +82-42-350-7737(lab)
  • Address : Division of Computer Science, KAIST, Kuseong-dong, Yuseong-gu, Daejeon 305-701, Korea

Research Interest

  • Semantic Web,
  • Social Network
  • Graph


  • 2009.5 - current: Enabling Technologies for Mobile Social Network Based Services in Web 3.0. funded by Korea Ministry Education, Science and Technology
  • 2008.8 - 2010: ITRC project. funded by Korea Ministry of Information and Communication, the Center for e-Business Technology (CEBT)


  • B.S. in Computer Science, Inha University, Inchon (2009.2)
  • M.S. in Computer Science, KAIST (2011.2)


  • M.J.Lee , and C.W.Chung,"A User Similarity Calculation based on the Location for Social Network Services," Proc. of International Conference on Database Systems for Advanced Applications (DASFAA2011).
  • M.J.Lee, J.M.Lee, Y.Park, R.Choi, and C.W.Chung, "QUBE: a Quick algorithm for Updating BEtweenness centrality," Proc. of the International World Wide Web Conference (WWW 2012), April 2012, pp. 351-360.
  • M.J.Lee, J.R.Lee, S.Y.Kim, M.J.Park, and C.W. Chung "ONTOMS2: an Efficient and Scalable ONTOlogy Management System with an Incremental Reasoning," Proc. of the 12th International Semantic Web Conference(ISWC2013), Sydney, Australia, October 23, 2013, pp.153-156.
  • M.J.Lee, and C.W. Chung Finding k-Highest Betweenness Centrality Vertices in Graphs," Proc. of the 23rd international conference on World Wide Web companion (WWW '14 Companion).
  • M.J.Lee, S. Choi, and C.W. Chung, "Efficient Algorithms for Updating Betweenness Centrality in Fully Dynamic Graphs," Information Sciences, Vol. 326, Jan 2016, pp. 278-296.
  • M.J.Lee, D.W. Choi, S. Kim, H.M. Park, S. Choi, and C.W. Chung, "The Direction-Constrained k Nearest Neighbor Query : Dealing With Spatio-Directional Objects," To appear in Geoinformatica.


  • SD dataset : Metadata of 9153 photos taken from 6 different iPhone users



Division of Computer Science Korea Advanced Institure of Science and Technology
373-1 Gusung-dong, Yusung-gu
Daejeon 305-701, Republic of Korea

Last updated : 2016. 1. 21