Crowdsourcing over Big Data, are we there yet?

                 Department of Systems Engineering and Engineering Management
                              The Chinese University of Hong Kong
Date: Monday, November 17, 2014 - 11:00am - 12:30pm
Speaker: Professor Lei CHEN, Department of Computer Science, Hong Kong University of Science and Technology 
Title: Crowdsourcing over Big Data, are we there yet? 
Recently, the popularity of crowdsourcing has brought a new opportunity to engage human 
intelligence into various data analysis tasks. Compared with computer systems, crowds are good at 
handling items with human-intrinsic values or features. Existing approaches develop sophisticated 
methods by utilizing the crowd as a new type of processor, a.k.a. HPU (Human Processing Unit). 
As a consequence, tasks executed on HPU are called HPU-based tasks. Now we are in the Big 
Data Era, a nature question arises: How about crowdsourcing over Big Data, are we there yet? 
In this talk, I will first briefly review the history of crowdsourcing and discuss the key issues 
related to crowdsourcing. Then, I will demonstrate the power of crowdsourcing in solving the well-
known and very hard data integration problem, schema matching, and discuss how to migrate the 
power of crowdsourcing to a social media platform whose users can serve as a huge reservoir of 
workers. Finally, I will summarize our work in this area and highlight some research challenges 
about crowdsourcing over Big Data. 
Lei Chen received the BS degree in computer science and engineering from Tianjin University, 
Tianjin, China, in 1994, the MA degree from Asian Institute of Technology, Bangkok, Thailand, in 
1997, and the PhD degree in computer science from the University of Waterloo, Canada, in 2005. 
He is currently an associate professor in the Department of Computer Science and Engineering, 
Hong Kong University of Science and Technology. His research interests include crowdsourcing 
over social media, social media analysis, probabilistic and uncertain databases, and privacy-
preserved data publishing. So far, he published over 200 conference and journal papers. He got the 
best paper awards in DASFAA 2009 and 2010. He is PC Track chairs for SIGMOD 2014, VLDB 
2014, ICDE 2012, CIKM 2012, SIGMM 2011. He has served as PC members for SIGMOD, 
VLDB, ICDE, SIGMM, and WWW. Currently, he serves as an associate editor for IEEE 
Transaction on Data and Knowledge Engineering and Distribute and Parallel Databases. He is a 
member of the VLDB endowment committee and the chairman of ACM SIGMOD China Chapter. 
Everyone is welcome to attend the talk!
Venue: Room 513, William M.W. Mong Engineering Building (ERB), The Chinese University of Hong Kong.
The talk will be hosted by:
Prof. Helen Meng,
Department of Systems Engineering and Engineering Management,
The Chinese University of Hong Kong,
SEEM-5201 Website:
Monday, November 17, 2014 - 03:00 to 04:30