A Survey of Crowdsourced Knowledge Acquisition

PhD Qualifying Examination


Title: "A Survey of Crowdsourced Knowledge Acquisition"

by

Miss Rui MENG


Abstract:

Knowledge acquisition, which refers to the process of extracting, 
structuring and organizing knowledge from some sources, empowers the 
computer programs to reason and solve complex problems. Recent years have 
seen signi cant advances in the eld of knowledge acquisition. While 
notable e orts have been devoted, the state-of-the-art automatic 
techniques for knowledge acquisition still have its limitations and can 
yield noisy or semantically meaningless knowledge. Crowdsourcing, which 
has gained its popularity in various domains to handle hard tasks with 
human involvement, o ers an alternate approach for knowledge acquisition. 
Crowdsourcing and human computing, on the one hand, can improve the 
information extraction technique from text inputs to acquire accurate and 
clean knowledge; on the other hand, as a natural source of knowledge, the 
crowd can be mined to obtain knowledge that resides in the human mind, 
such as commonsense knowledge, individual knowledge and subjective 
knowledge. With the large scale of knowledge and limited crowdsourcing 
resource, hybrid systems have been proposed to combine the power of 
machine-based automatic technique and crowdsourcing approach for knowledge 
acquisition.

Throughout this survey, we give a comprehensive overview of crowdsourced 
knowledge acquisition techniques. We rst clarify the key concepts and 
relevant technical backgrounds of automatic knowledge acquisition. Then, 
we present the crowdsourced knowledge acquisition approaches and the 
hybrid frameworks that combine the machine-based automatic approach and 
crowdsourcing technique. Finally, we identify some future research issues 
in the crowdsourced knowledge acquisition area.


Date:			Friday, 16 December 2016

Time:                  	2:00pm - 4:00pm

Venue:                  Room 2129C
                         Lift 19

Committee Members:	Prof. Lei Chen (Supervisor)
 			Dr. Ke Yi (Chairperson)
 			Dr. Xiaojuan Ma
 			Dr. Raymond Wong


**** ALL are Welcome ****