CORC  > 湖南大学
Answering top-K query combined keywords and structural queries on RDF graphs
Peng, P; Zou, L; Qin, Z
刊名Information Systems
2017
卷号Vol.67页码:19-35
关键词SPARQL Keyword search RDF graph
ISSN号1350-1917
URL标识查看原文
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/6037245
专题湖南大学
作者单位1.Hunan Univ, Big Data Prov Key Lab, Changsha, Hunan, Peoples R China
2.Peking Univ, Inst Comp Sci & Technol, Beijing, Peoples R China
3.Beijing Inst Big Data Res, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Peng, P,Zou, L,Qin, Z. Answering top-K query combined keywords and structural queries on RDF graphs[J]. Information Systems,2017,Vol.67:19-35.
APA Peng, P,Zou, L,&Qin, Z.(2017).Answering top-K query combined keywords and structural queries on RDF graphs.Information Systems,Vol.67,19-35.
MLA Peng, P,et al."Answering top-K query combined keywords and structural queries on RDF graphs".Information Systems Vol.67(2017):19-35.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace