Multidimensional and quantitative interlinking approach for Linked Geospatial Data  

作　　者：Yunqiang Zhu A-Xing Zhu Jia Song Jie Yang Min Feng Kai Sun Jingqu Zhang Zhiwei Hou Hongwei Zhao 

机构地区：[1]State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing,People’s Republic of China [2]Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing,People’s Republic of China [3]Department of Geography,University of Wisconsin–Madison,Madison,WI,USA [4]College of Resource and Environment,University of Chinese Academy of Sciences,Beijing,People’s Republic of China [5]School of Computer,Global Land Cover Facility,Department of Geography,University of Maryland,College Park,MD,USA [6]South China Normal University,Guangzhou,People’s Republic of China

出　　处：《International Journal of Digital Earth》2017年第9期923-943,共21页国际数字地球学报（英文）

基　　金：Thiswork was supported by the National Natural Science Foundation of China[grant number 41371381],[grant number 41431177];Natural Science Research Program of Jiangsu[grant number 14KJA170001];National Special Program on Basic Works for Science and Technology of China[grant number 2013FY110900];National Key Technology Innovation Project for Water Pollution Control and Remediation[grant number 2013ZX07103006];National Basic Research Program of China[grant number 2015CB954102];GuiZhou Welfare and Basic Geological Research Program of China[grant number 201423];China Scholarship Council[grant number 201504910358].

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.

关 键 词：Geospatial data linked data interlinking type link predicate data similarity 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]