The Chinese University of Hong Kong
Department of Computer Science and Engineering


Title: Mass Intelligence, an Oxymoron or "The Way the Life Is"?
Date: December 2, 2009 (Wednesday)
Time: 10:30 a.m. - 11:30 a.m.
Venue: Room 121, 1/F, Ho Sin-hang Engineering Building,
The Chinese University of Hong Kong,
Shatin, N.T.
Speaker: Dr. Meng Chang CHEN
Institute of Information Science
Academia Sinica


Mass intelligence is considered as the intelligence possessed by a group of large number of people, implicitly or explicitly. (It is a philosophical belief if the mass as a whole can present intelligence, even smarter than experts. But we will leave the question to philosophers and focus on the intelligence discovery problems.) In the Internet era, it is convenient for people to express their opinions, experiences and knowledge, and get involved in various activities on the Internet. As a result, there are tremendously large volume of Web documents, dialogues, and traces of transactions and activities. The research focuses on collecting those data and documents, discovering interesting patterns, modeling knowledge aggregation, and presenting the knowledge in a meaningful assimilable way. We will show some results along this line of research including event detection and tracking, topic taxonomy, information market, and auto-quiz.


Meng Chang CHEN received the BS and MS degrees in Computer Science from National Chiao-Tung University, Taiwan, in 1979 and 1981, respectively, and the PhD degree in Computer Science from the University of California, Los Angeles, in 1989. He was with AT&T Bell Labs from 1989 to 1992. Currently he is a Research Fellow of Institute of Information Science, Academia Sinica, Taiwan. From 1999 to 2002, and from 2008 till now, he takes additional responsibility as Deputy Director of the Institute. From 2000 to the end of 2003, he served as the chair of Standards and Technology Transfer group of the National Science and Technology Program for Telecommunications Office (NTPO). His current research interests include wireless access network, QoS networking, information retrieval, machine learning and data and knowledge engineering.

Enquiries: Miss Temmy So at tel 2609 8444

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