Welcome to the Database & Data Mining Lab (Big Data Lab) at the POSTECH. We have been focusing on big data, databases, mining, and AI related research. We are trying to publish solid papers in prestigious top-tier database (SIGMOD, VLDB, ICDE) and data mining/machine learning conferences (SIGKDD, ICML, NIPS). 

Our goal is to build scalable, intelligent Big data systems that effectivly and efficiently deal with Big data. Most of Big data is unstructured data, and thus, it is difficult to handle. We are building a system for converting unstructured data into semi-structured data in a graph form so that it can be easily handled in our parallel graph engine. We are also building an intelligent system to interact with humans.

Current research topics include:

  • Natural Language Interface to Database (NLIDB) which translates natural language questions into database queries 
  • Large-scale video query processing 
  • Parallel computation systems for big data analysis on modern hardware: from micro-level (multi-core/GPU) parallelism to macro-level (shared-nothing, i.e. Cloud) parallelism
  • Large-scale graph computation systems (handling social networks, brain networks, chemical compounds)
  • Intelligent computation systems for structured and dark data (DB+Natural Language processing) 

FAQ (including appointments, internships, and Ph.D. application)

Our Research Collaborators/Sponsors

Oracle Labs logo 


  • One paper about NL2SQL is accepted to VLDB 2020. Congratulations to related members!This paper is the first paper from our lab about natural language to SQL. We have provided a comprehensive benchmark for NL2SQL, contributing new metrics/evaluation ...
    Posted May 16, 2020, 6:59 PM by Wook-Shin Han
  • One paper about supergraph search is accepted to VLDB 2020. Congrats to all related members
    Posted Apr 27, 2020, 4:57 AM by Wook-Shin Han
  • One paper is accepted to SIGMOD 2020. Congrats to all related members.
    Posted Apr 6, 2020, 12:50 AM by Wook-Shin Han
Showing posts 1 - 3 of 78. View more »

--May 20, 2010