Geospatial semantics, ontology and knowledge graphs for big earth data
Geospatial semantics, ontology and knowledge graphs for big earth data
复制标题
地球大数据的地理空间语义、本体和知识图谱
DOI:
10.1080/20964471.2019.1652003
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发表时间:
2019
期刊:
影响因子:
4
通讯作者:
Yunqiang Zhu
中科院分区:
文献类型:
--
作者:
Yunqiang Zhu
Since the 1950s, in order to promote the full sharing and value-added utility of geospatial data, developed countries as well as some developing countries have launched a number of geospatial data-sharing initiatives and programs that have established many spatial data infrastructures (SDI), data centers, and data-sharing platforms around the world (Bai & Di, 2010; Goodchild, Fu, & Rich, 2007; Harvey & Tulloch, 2006; Hu, Janowicz, Prasad, & Gao, 2015) and great achievements have been made in geospatial data sharing. For instance, the Data Sharing Service System of CAS Earth (http://data. casearth. cn/) launched by the Chinese Academy of Sciences has integrated 5.02 PB data resources since 2018, and the National Integrated Earth Observation Data Sharing Platform of China (http://www. chinageoss. org) has collected 2,140,000 scenes acquired by 9 land-observation satellites, 1,440,000 scenes from meteorological satellites, and 10,000 scenes from ocean-observation satellites. However, for most geospatial data-sharing projects, top-down organizational mechanisms are usually adopted, which results in networks with large amounts of data remaining in the hands of individual scientists and not being effectively shared. In terms of technology, the existing geospatial data-sharing platforms mainly use simple