Time：Wednesday, November 01, 2017 3:30- pm

Place ：ED117(工程四館117室)

Speaker： Prof. Ming-Syan Chen

Chair Professor and Dean,

College of Electrical Engineering & Computer Science,

National Taiwan University

Topic  ：On Application-Aware Information Extraction for Big Data in Social Networks

Abstract：

Due to the paradigm shift to the Cloud computing, data has been accumulated at fast pace in various applications. Among others, the number of social network activities is increasing drastically. It has become very desirable to conduct various analyses for applications on social networks. However, as the scale of a social network has become prohibitively large, it is infeasible to scrutinize the data and extract the key essence from the entire social network. This issue becomes further complicated due to the heterogeneous nature of the data. As a result, a significant amount of research effort has been elaborated upon extracting the essential application-dependent information from a social network. In this talk, we shall examine some recent studies on data processing and information extraction for social networks. Explicitly, we shall explore the methods for three levels of information extraction in a social network, namely, parameter extraction, information extraction, and structure extraction, and interpret them from their respective objectives. We then comment on how to conduct application-aware information extraction for big data in social networks.

Bio:

Ming-Syan Chen received the Ph.D. degrees in Computer, Information and Control Engineering from The University of Michigan, Ann Arbor, MI, USA. He is now an NTU Chair Professor and also the Dean of the College of Electrical Engineering and Computer Science at National Taiwan University. He was a research staff member at IBM Thomas J. Watson Research Center, NY, USA, the President/CEO of Institute for Information Industry (III), and the Director of Research Center of Information Technology Innovation (CITI) in the Academia Sinica. His research interests include databases, data mining, social networks, and IoT applications. He is a recipient of the National Chair Professorship and also the Academic Award of the Ministry of Education, the NSC (National Science Council) Distinguished Research Award, Y.Z. Hsu Science Chair Professor Award, Pan Wen Yuan Distinguished Research Award, Teco Award, Honorary Medal of Information, and K.-T. Li Research Breakthrough Award for his research work, and also the Outstanding Innovation Award from IBM Corporate for his contribution to a major database product. Dr. Chen is a Fellow of ACM and a Fellow of IEEE.