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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 ****