Multidimensional and quantitative interlinking approach for Linked Geospatial Data | |
Zhu, Yunqiang1,2,3; Zhu, A-Xing1,2,3; Song, Jia1,2; Yang, Jie1,4; Feng, Min5; Sun, Kai1,4; Zhang, Jingqu6; Hou, Zhiwei1,4; Zhao, Hongwei1,4 | |
刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH |
2017 | |
卷号 | 10期号:9页码:923-943 |
关键词 | Geospatial data linked data interlinking type link predicate data similarity |
ISSN号 | 1753-8947 |
DOI | 10.1080/17538947.2016.1266041 |
通讯作者 | Song, Jia(songj@igsnrr.ac.cn) |
英文摘要 | Linked Data is known as one of the best solutions for multisource and heterogeneous web data integration and discovery in this era of Big Data. However, data interlinking, which is the most valuable contribution of Linked Data, remains incomplete and inaccurate. This study proposes a multidimensional and quantitative interlinking approach for Linked Data in the geospatial domain. According to the characteristics and roles of geospatial data in data discovery, eight elementary data characteristics are adopted as data interlinking types. These elementary characteristics are further combined to form compound and overall data interlinking types. Each data interlinking type possesses one specific predicate to indicate the actual relationship of Linked Data and uses data similarity to represent the correlation degree quantitatively. Therefore, geospatial data interlinking can be expressed by a directed edge associated with a relation predicate and a similarity value. The approach transforms existing simple and qualitative geospatial data interlinking into complete and quantitative interlinking and promotes the establishment of high-quality and trusted Linked Geospatial Data. The approach is applied to build data intra-links in the Chinese National Earth System Scientific Data Sharing Network (NSTI-GEO) and data -links in NSTI-GEO with the Chinese Meteorological Data Network and National Population and Health Scientific Data Sharing Platform. |
资助项目 | National Natural Science Foundation of China[41371381] ; National Natural Science Foundation of China[41431177] ; Natural Science Research Program of Jiangsu[14KJA170001] ; National Special Program on Basic Works for Science and Technology of China[2013FY110900] ; National Key Technology Innovation Project for Water Pollution Control and Remediation[2013ZX07103006] ; National Basic Research Program of China[2015CB954102] ; GuiZhou Welfare and Basic Geological Research Program of China[201423] ; China Scholarship Council[201504910358] |
WOS关键词 | WEB ; LINKEDGEODATA ; CIRCULATION |
WOS研究方向 | Physical Geography ; Remote Sensing |
语种 | 英语 |
出版者 | TAYLOR & FRANCIS LTD |
WOS记录号 | WOS:000406507900004 |
资助机构 | National Natural Science Foundation of China ; Natural Science Research Program of Jiangsu ; National Special Program on Basic Works for Science and Technology of China ; National Key Technology Innovation Project for Water Pollution Control and Remediation ; National Basic Research Program of China ; GuiZhou Welfare and Basic Geological Research Program of China ; China Scholarship Council |
内容类型 | 期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/61533] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Song, Jia |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China 3.Univ Wisconsin Madison, Dept Geog, Madison, WI USA 4.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing, Peoples R China 5.Univ Maryland, Dept Geog, Global Land Cover Facil, Sch Comp, College Pk, MD 20742 USA 6.South China Normal Univ, Guangzhou, Guangdong, Peoples R China |
推荐引用方式 GB/T 7714 | Zhu, Yunqiang,Zhu, A-Xing,Song, Jia,et al. Multidimensional and quantitative interlinking approach for Linked Geospatial Data[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2017,10(9):923-943. |
APA | Zhu, Yunqiang.,Zhu, A-Xing.,Song, Jia.,Yang, Jie.,Feng, Min.,...&Zhao, Hongwei.(2017).Multidimensional and quantitative interlinking approach for Linked Geospatial Data.INTERNATIONAL JOURNAL OF DIGITAL EARTH,10(9),923-943. |
MLA | Zhu, Yunqiang,et al."Multidimensional and quantitative interlinking approach for Linked Geospatial Data".INTERNATIONAL JOURNAL OF DIGITAL EARTH 10.9(2017):923-943. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
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。
修改评论