InSciTe Advisory: Prescriptive Analytics Service for Enhancing Research Performance

Prof. Dr. Hanmin Jung
Department of Computer Intelligence Research
Korea Institute of Science and Technology Information
Daejeon, Korea


Prof. Young-guk Ha
Department of Computer Science and Engineering
Konkuk University
Seoul, Korea



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.

Keynote Speaker Biography 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 M.S. and Ph.D. degrees in Computer Science and Engineering from POSTECH, Korea in 1994 and 2003. Previously, he was a senior researcher at Electronics and Telecommunications Research Institute (ETRI), and worked as CTO at DiQuest Inc. Now, he is also professor of University of Science & Technology (UST), guest professor of Central Officials Training Institute, executive director of Korea Contents Association, director of several academic associations, and committee member of ISO/IEC JTC1/SC32. His current research interests include prescriptive analytics, Semantic Web, Big Data, text mining, human-computer interaction (HCI), and natural language processing (NLP).


Professor Young-guk Ha received his Ph.D. degree in computer science from Korea Advanced Institute of Science and Technology (KAIST) in 2006. He worked for Electronics and Telecommunications Research Institute (ETRI) from 1995 to 2008 as a senior member of the engineering staff and was an adjunct professor in the Department of Computer Software at University of Science and Technology (UST) from 2007 to 2008. Currently, he is an associate professor in the Department of Computer Science and Engineering and the director of Big Data Research Institute at Konkuk University. His research interests are in big data processing and services, cloud computing, IoT, and knowledge-based intelligent systems.


Sponsored by   Patronage by