Entity Resolution with Crowds

PhD Qualifying Examination


Title: "Entity Resolution with Crowds"

by

Mr. Chen ZHANG 


Abstract:

Entity Resolution (ER) is a critical task for data integration and data 
cleaning. Significant advances have been achieved in the past decades. 
However, it is still very difficult to achieve satisfactory performance 
with machine-only techniques. Crowdsourcing applications have attracted 
much attention and some existing work has investigated how to benefit from 
human interaction. We survey the problem of resolving records with 
crowdsourcing where we ask questions to humans in order to guide ER into 
producing accurate results. Since human work is costly, the general goal 
of existing approaches is to ask as few questions as possible. In 
addition, we also envision to adopt an existing probabilistic framework to 
make sensible decisions about candidate pairs, and use human answers to 
improve the accuracy of ER result.


Date:			Monday, 3 March 2014

Time:                   4:00pm - 6:00pm

Venue:                  Room 5504
                        Lifts 25/26

Committee Members:	Dr. Lei Chen (Supervisor)
 			Dr. Qiong Luo (Chairperson)
 			Dr. Pan Hui
 			Dr. Raymond Wong


**** ALL are Welcome ****