Big Data: Where from? Where to?
Dr. Prof. Hanmin Jung
Head of the Dept. of S/W research
Korea Institute of Science and Technology Information
Big Data is one of the hottest topics in Korea and the world, and also practical issue to such an extent as to be created and stored more than 1.8 zettabytes of information in 2011. But, many people are concerned only with data-related technologies such as Hadoop and NoSQL, since they are easily available as open source and moreover conference organizers and publishers do not fully understand the real value of Big Data. Thus, I’d like to give some fundamental answers and examples on the following questions: Where are Big Data from? Where are the data? Who consume the data? Who can become ‘The Next Big Thing’?
As another issue of this presentation, KISTI’s recent R&D activities and results, especially for supporting R&D planning, on Big Data that push researchers into the limits in science & technology area will be introduced. We are currently developing technology intelligence services that can discover emerging technologies and businesses based on technology opportunity discovery models and can uncover complex relationships among technologies and R&D actors gathered and acquired from huge amount of papers, patents, and internet articles.
Hanmin Jung works as the head of the Dept. of S/W 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, executive director at Korea Contents Association, and committee member of ISO/IEC JTC1/SC32 and ISO/IEC JTC1/SC34.
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 these research areas, over 250 papers and 200 patents have been published and created.