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学术报告 - 时序事件搜索中的事件关系分析

发布日期:  2011/03/01  刘华   浏览次数: 部门: 未知   返回

计算机学院学术论坛报告

Academic Forum on Computer Science and Technology

特邀报告 第056期(总第163期)

主题报告:时序事件搜索中的事件关系分析
报 告 人:Qing Li [香港城市大学]
报告时间:3月 04日(周五)10: 30~11: 30
报告地点:上海大学延长校区行键楼734
邀 请 人:骆祥峰 副研究员
 

论坛主题:There are many news articles about events reported on the Web daily, and people are getting more and more used to reading news articles online to know and understand what events happened. For an event, (which may consist of several component events, i.e., episodes), people are often interested in the whole picture of its evolution and development along a time line. This calls for modeling the dependent relationships between component events. Further, people may also be interested in component events which play important roles in the event evolution or development. To satisfy the user needs in finding and understanding the whole picture of an event e_ectively and e_ciently, we formalize in this paper the problem of temporal event search and propose a framework of event relationship analysis for search events based on user queries. We define three kinds of event relationships which are temporal relationship, content dependence relationship, and event reference relationship for identifying to what an extent a component event is dependent on another component event in the evolution of a target event (i.e., query event). he search results are organized as a temporal event map (TEM) serving as the whole picture bout an event’s evolution or development by showing the dependence relationships between events. Based on the event relationships in TEM, we further propose a method to measure event importance degrees so as to discover the important component events for a query. Experiments conducted on a real data set show that our method outperforms a number of baseline methods, and it can help discover ertain new relationships missed by previous methods and even human annotators.

报告人简介: Qing Li is a Professor at the Department of Computer Science, City University of Hong Kong. Concurrently, he is an Adjunct Professor of the University of Science and Technology of China (USTC), Zhong Shan (Sun Yat-Sen) University and Huazhong University of Science and Technology (Wuhan), and a Guest Professor (Software Technology) of the Zhejiang University (Hangzhou, China). His research interests include Object Modeling, Multimedia Databases, Web Services and e-learning. Prof. Li has published over 280 technical papers and book chapters in these areas. He has served as an organizer/co-organizer of numerous international conferences including DASFAA2010, APWeb-WAIM’09, ER’08, WISE’07, VLDB’02, etc. He is an associate editor of the ACM Transactions on Internet Technology, World Wide Web (Springer), and the IEEE Transactions on Knowledge and Data Engineering. In addition, he has served as a guest editor for several journals’ special issues, including IEEE Internet Computing, ACM Transactions on Internet Technology, IEEE Transaction on Multimedia, IEEE Transactions on Knowledge and Data Engineering. Dr. Li is the chairperson of the Hong Kong Web Society, and serves as a councilor of the Database Society of Chinese Computer Federation, a councilor of the Computer Animation and Digital Entertainment Chapter of Chinese Computer Imaging and Graphics Society, and is a Steering Committee member of DASFAA, WAIM (chair), ICWL, and the international WISE Society (Deputy Chair).


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