面向全球变化研究的空间科学数据搜索引擎设计

Fenglei Yang, Jianhui Li, Qinghui Lin, Xiaodong Li, Junfeng Yang
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引用次数: 0

摘要

随着全球环境问题的日益突出,全球变化研究受到了前所未有的重视。为了有效地进行全球变化研究,科学家们迫切需要一个能够自动聚合和管理分布式、多源、异构空间科学数据的平台。在分析空间科学数据特点的基础上,首先将空间科学数据自动聚合与管理的科学问题分解为数据资源动态发现等若干子问题;其次设计了能够对分布式、多源、异构的空间科学数据进行自动聚合和管理的空间科学数据搜索引擎。搜索引擎作为空间数据云的一部分,已被实际用于MODIS数据的聚合和管理。
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Design of spatial science data search engine for global change research
As global environmental issues become more prominent, global change research is receiving unprecedented attention. For the effective global change research, scientists urgently need a platform which can aggregate and manage the distributed, multi-sourced, heterogeneous spatial science data automatically. On the basis of analyzing the characteristics of spatial science data, this paper splits the scientific problem about automatic aggregation and management spatial science data into several sub-problems such as dynamic discovery of data resource and so on firstly. And designs the spatial science data search engine which can automatically aggregate and manage the distributed, multi-sourced, heterogeneous spatial science data secondly. The search engine which is a part of spatial data cloud has been used to aggregate and manage the MODIS data actually.
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