摘要
设计了一种基于元搜索的事件发现与关联算法.首先利用元搜索引擎获取事件数据的外围信息,通过事件发现算法,实现事件的重排序,再以重排序结果为基础,识别其中出现的事件元素,进而实现事件在多维元素上的关联.实验证明该算法能够取得较好的效果.
A method to detect events based on meta-search and correlation algorithm is designed in this paper. The meta-search engine is first used to collect event＇s raw information from Internet, which is reordered to discover the event＇s related information. Furthermore, the event＇s arguments are identified, and then event correlation is implemented. The experiment results show that the algorithm can find main factors and developing trend of the events.
出处
《内蒙古师范大学学报（自然科学汉文版）》
CAS
北大核心
2017年第4期555-559,共5页
Journal of Inner Mongolia Normal University(Natural Science Edition)
基金
群众性科技创新项目(5229XT16000J)
关键词
元搜索
重排序
事件抽取
事件关联
meta-search
reordering
event extraction
event correlation
