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Seokki Lee, Ph.D. Student

I have a bachelor in Computer Science and Engineering from Dankook University in 2003 and a master in Computer Science and Engineering from Hanyang University in 2009. Another master was achieved in Engineering Management from California State University Northridge in 2013. I had some work experiences in several companies of South Korea and just joined the IIT DBGroup in 2014 Fall.

Teaching

I have been TA for the following courses:
  • 2017 Fall: CS525 - Advanced Database Organization
  • 2017 Spring: CS525 - Advanced Database Organization
  • 2016 Spring: CS520 - Data Integration, Warehousing, and Provenance

Research Projects

My main research interests are Databases, Data Exchange and Integration, and Data Provenance. I am involved in the following research projects:
  • GProM - A database-independent middleware for computing the provenance of queries, updates, and transactions
  • PUGS - PUGS is a unified framework for capturing why and why-not provenance of Datalog queries with negation and for automatic generation of concise provenance summaries.
  • Vagabond - Automatic generation of explanations for data exchange errors.

Collaborators

Through these research projects I am collaborating with:

Publications

  1. PUG: a framework and practical implementation for why and why-not provenance
    Seokki Lee, Bertram Ludäscher and Boris Glavic
    The VLDB Journal. 28, 1 (Aug. 2018) , 47—71.
    details
  2. GProM - A Swiss Army Knife for Your Provenance Needs
    Bahareh Arab, Su Feng, Boris Glavic, Seokki Lee, Xing Niu and Qitian Zeng
    IEEE Data Engineering Bulletin. 41, 1 (2018) , 51–62.
    details
  3. Provenance Summaries for Answers and Non-Answers
    Seokki Lee, Bertram Ludäscher and Boris Glavic
    Proceedings of the VLDB Endowment (Demonstration Track). 11, 12 (2018) , 1954–1957.
    details
  4. Adaptive Schema Databases
    William Spoth, Bahareh Arab, Eric S. Chan, Dieter Gawlick, Adel Ghoneimy, Boris Glavic, Beda Hammerschmidt, Oliver Kennedy, Seokki Lee, Zhen Hua Liu, Xing Niu and Ying Yang
    Proceedings of the 8th Biennial Conference on Innovative Data Systems (2017).
    details
  5. A SQL-Middleware Unifying Why and Why-Not Provenance for First-Order Queries
    Seokki Lee, Sven Köhler, Bertram Ludäscher and Boris Glavic
    Proceedings of the 33rd IEEE International Conference on Data Engineering (2017), pp. 485–496.
    details
  6. Integrating Approximate Summarization with Provenance Capture
    Seokki Lee, Xing Niu, Bertram Ludäscher and Boris Glavic
    Proceedings of the 8th USENIX Workshop on the Theory and Practice of Provenance (2017).
    details
  7. Debugging Transactions and Tracking their Provenance with Reenactment
    Xing Niu, Boris Glavic, Seokki Lee, Bahareh Arab, Dieter Gawlick, Zhen Hua Liu, Vasudha Krishnaswamy, Su Feng and Xun Zou
    Proceedings of the VLDB Endowment (Demonstration Track). 10, 12 (2017) , 1857–1860.
    details
  8. Efficiently Computing Provenance Graphs for Queries with Negation
    Seokki Lee, Sven Köhler, Bertram Ludäscher and Boris Glavic
    Technical Report #IIT/CS-DB-2016-03
    Illinois Institute of Technology.
    details
  9. Implementing Unified Why- and Why-Not Provenance Through Games
    Seokki Lee, Sven Köhler, Bertram Ludäscher and Boris Glavic
    Proceedings of the 8th USENIX Workshop on the Theory and Practice of Provenance (Poster) (2016).
    details
  10. Automatic Generation and Ranking of Explanations for Mapping Errors
    Seokki Lee, Zhen Wang, Boris Glavic and Renée J. Miller
    Technical Report #IIT/CS-DB-2015-01
    Illinois Institute of Technology.
    details
  11. An Efficient Implementation of Game Provenance in DBMS
    Seokki Lee, Yuchen Tang, Sven Köhler, Bertram Ludäscher and Boris Glavic
    Technical Report #IIT/CS-DB-2015-02
    Illinois Institute of Technology.
    details