Multidimensional and quantitative interlinking approach for Linked Geospatial Data
Multidimensional and quantitative interlinking approach for Linked Geospatial Data
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DOI：
10.1080/17538947.2016.1266041
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发表时间：
2017-01
影响因子：
5.1
通讯作者：
Yunqiang Zhu;A. Zhu;Jia Song;Jie Yang;M. Feng;Kai Sun;Jingqu Zhang;Zhiwei Hou;Hongwei Zhao-Hongwei
中科院分区：
文献类型：
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作者：
Yunqiang Zhu;A. Zhu;Jia Song;Jie Yang;M. Feng;Kai Sun;Jingqu Zhang;Zhiwei Hou;Hongwei Zhao-Hongwei
摘要在这个大数据时代，关联数据被认为是多源、异构的Web数据集成和发现的最佳解决方案之一。然而，作为关联数据最有价值的贡献的数据链接仍然是不完整和不准确的。本研究提出了一种在地理空间域中关联数据的多维量化链接方法。根据地理空间数据在数据发现中的特点和作用，采用8种基本数据特征作为数据链接类型。这些基本特征被进一步组合以形成复合和整体数据互连类型。每种数据链接类型都有一个特定的谓词来表示关联数据的实际关系，并使用数据相似度来定量地表示关联程度。因此，地理空间数据链接可以由与关系谓词和相似性值相关联的有向边来表示。该方法将现有的简单的、定性的地理空间数据链接转化为完整的、定量的链接，促进了高质量、可信的链接地理空间数据的建立。应用该方法建立了中国国家地球系统科学数据共享网络(NSTI-GEO)的数据内链和NSTI-GEO与中国气象数据网络和国家人口与健康科学数据共享平台的数据链接。
ABSTRACT 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.