标题:Discovering evolution of complex event based on correlations between events
作者:Li, Xia ;Zheng, Yongqing ;Dong, Yongquan
作者机构:[Li, Xia ;Zheng, Yongqing ] School of Computer Science and Technology, Shandong University, Jinan, China;[Dong, Yongquan ] School of Computer Science 更多
会议名称:11th Web Information System and Application Conference, WISA 2014
会议日期:12 September 2014 through 14 September 2014
来源:Proceedings - 11th Web Information System and Application Conference, WISA 2014
出版年:2014
页码:47-50
DOI:10.1109/WISA.2014.17
关键词:Co-occurrence; Event correlation; Event correlation evolution graph; Event evolution; Signal words
摘要:There are large numbers of news articles on Web pages every day. Each article usually reports some aspects of a complex event, but they do not report the whole picture of the event. People are often interested in not only a single event but also the correlations between events and the evolution of the complex event, if they want to be aware of the whole picture of the complex event, they have to browse many Web pages. To solve this problem, we propose a method to find the correlations between events, and the evolution of the complex events. We use the signal words and the co-occurrence of the events in the news articles to discover the correlations between events, and construct an event correlation evolution graph. Experiments test and validate our method. © 2014 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946687201&doi=10.1109%2fWISA.2014.17&partnerID=40&md5=a0007eff95ecc67aacaf01b4d9782625
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