Hanmin Jung
Korea Institute of Science and Technology Information (KISTI) , South Korea
Prescriptive Analytics and Complex Event Processing to Increase Researchers’ Performance
Explosively increased Big Data and very fast technical evolutions require an entirely new analytics that is able to precisely analyze researchers’ activities until now and to provide research directions from now on. Prescriptive analytics shows fundamental difference with descriptive/predictive analytics in that it should provide multiple strategies to achieve a given research direction. Complex event processing also shows a new way to read implicit intentions from many kinds of activities such as publishing article, travelling on business, and attending conference. Thus, this talk shows a case study by explaining requirements and factors for implementing a personalized research service with InSciTe Advisory, as a data-intensive intelligent service, for helping to find plausible research directions. This talk also covers data gathering, information extraction from entities to simple events, reasoning, and Hadoop ecosystem.

Hanmin Jung works as the head of the Dept. of Computer Intelligence Research and chief researcher at Korea Institute of Science and Technology Information (KISTI), Korea since 2004.

He received his B.S., M.S., and Ph.D. degrees in Computer Science and Engineering from POSTECH, Korea in 1992, 1994, and 2003. Previously, he was senior researcher at Electronics and Telecommunications Research Institute (ETRI), Korea, and worked as CTO at DiQuest Inc, Korea.

Now, he is also adjunct professor at University of Science & Technology (UST), Korea, visiting professor at Central Officials Training Institute (COTI), Korea, standing director at Korea Contents Association, director at Korean Society for Internet Information, director at Computer Intelligence Society, director at Korea Information Technology Convergence Society, and committee member of ISO/IEC JTC1/SC32. His current research interests include decision making support mainly based in the Semantic Web and text mining technologies, Big Data, information retrieval, human-computer interaction (HCI), data analytics, and natural language processing (NLP).

For the above research areas, over 520 papers and patents have been published and created (confirmed by Google Scholar).