SNExtractor: A Prototype for Extracting Semantic Networks from Web Documents

被引：0
作者：
Zhang, Chi [1 ]
Wang, Yanhua [1 ]
Wang, Chengyu [1 ]
Cheng, Wenliang [1 ]
He, Xiaofeng [1 ]
机构：
[1] East China Normal Univ, Inst Data Sci & Engn, Shanghai, Peoples R China
来源：
WEB-AGE INFORMATION MANAGEMENT, PT II | 2016年 / 9659卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Algorithms for extracting entities and relations from the Web heavily rely on semi-structured data sources or large-scale Web pages. It is difficult to extend these techniques to arbitrary Web documents in different domains. In this demonstration, we present SNExtractor, a prototype system for extracting semantic networks from documents related to any hot topics on the Web. Given a user query, it provides a comprehensive overview of relevant documents, including entities, a semantic network and a timeline summary. In the following, we will present internal mechanisms of SNExtractor and its application in the education domain.
引用
收藏
页码：527 / 530
页数：4
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