Geospatial semantics, ontology and knowledge graphs for big earth data

Geospatial semantics, ontology and knowledge graphs for big earth data
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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
Yunqiang Zhu
中科院分区:
地球科学4区
文献类型:
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作者:
Yunqiang Zhu

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自20世纪50年代以来,为了促进地理空间数据的充分共享和增值利用,发达国家和一些发展中国家开展了一系列地理空间数据共享倡议和计划,在全球范围内建立了许多空间数据基础设施、数据中心和数据共享平台(Bai & Di,2010; Goodchild,Fu,& Rich,2007; Harvey & Tulloch,2006; Hu,Janowicz,Prasad,& Gao,2015),地理空间数据共享取得了巨大成就。例如,CAS Earth的数据共享服务系统(http://data. casearth。cn/),2018年以来已整合5.02 PB数据资源,中国国家综合对地观测数据共享平台(http://www. chinageoss。org)收集了9颗陆地观测卫星拍摄的214万幅景象,气象卫星拍摄的144万幅景象,海洋观测卫星拍摄的1万幅景象。然而,对于大多数地理空间数据共享项目,通常采用自上而下的组织机制,这导致网络中的大量数据仍掌握在科学家个人手中,无法有效共享。在技术方面,现有的地理空间数据共享平台主要使用简单的
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