版权说明 操作指南
首页 > 成果 > 详情

Research on domain knowledge graph based on the large scale online knowledge fragment

认领
导出
下载
反馈
分享
QQ微信 微博
成果类型:
会议论文
作者:
Lv Qingjie*;Xu Lingyu;Yu Jie;Wang Lei;Xun Yunlan;...
通讯作者:
Lv Qingjie
作者机构:
[Wang Lei; Xu Lingyu; Xun Yunlan; Lv Qingjie; Yu Jie] Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China.
[Shi Suixiang] State Ocean Adm, Natl Marine Data & Informat Serv, Tianjin, Peoples R China.
[Liu Yang] Univ South China, Sch Comp Sci & Technol, Hengyang, Peoples R China.
通讯机构:
[Lv Qingjie] S
Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China.
语种:
英文
关键词:
knowledge graph;multi-source;multidimensional;information fusion
期刊:
PROCEEDINGS OF 2014 IEEE WORKSHOP ON ADVANCED RESEARCH AND TECHNOLOGY IN INDUSTRY APPLICATIONS (WARTIA)
年:
2014
页码:
312-315
会议名称:
IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)
会议时间:
SEP 29-30, 2014
会议地点:
Ottawa, CANADA
会议主办单位:
[Lv Qingjie;Xu Lingyu;Yu Jie;Wang Lei;Xun Yunlan] Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China.^[Shi Suixiang] State Ocean Adm, Natl Marine Data & Informat Serv, Tianjin, Peoples R China.^[Liu Yang] Univ South China, Sch Comp Sci & Technol, Hengyang, Peoples R China.
会议赞助商:
IEEE
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-4799-6989-0
基金类别:
Ocean Public Welfare Project of the Ministry of Science and Technology [201105033]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [40976108]
机构署名:
本校为其他机构
院系归属:
计算机科学与技术学院
摘要:
Knowledge Graph is a powerful tool to manage large scale knowledge, and is an important means to deal with the problem of the knowledge fragment. Knowledge Graph can be applied to Semantic Search, Question Answering System, Deep Reading and other. The current research mainly focuses on the information fusion of broad-spectrum knowledge, and aims at improving the recall ratio of the knowledge. Based on the previous research, we propose a method for constructing the domain knowledge Graph. We use information extraction technology to extract entities and relationships from open network documents....

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com