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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
2017
Source PublicationINTERNATIONAL JOURNAL OF DIGITAL EARTH
ISSN1753-8947
Volume10Issue:9Pages:923-943
Corresponding AuthorSong, Jia(songj@igsnrr.ac.cn)
AbstractLinked 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.
KeywordGeospatial data linked data interlinking type link predicate data similarity
DOI10.1080/17538947.2016.1266041
WOS KeywordWEB ; LINKEDGEODATA ; CIRCULATION
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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
WOS Research AreaPhysical Geography ; Remote Sensing
WOS SubjectGeography, Physical ; Remote Sensing
WOS IDWOS:000406507900004
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/61534
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSong, Jia
Affiliation1.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
Recommended Citation
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.
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