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首页> 外文会议>Mid-Term Symposium ISPRS Commission VI - Data, Information, and Knowledge Sharing for Geo-Education >GLOBAL DATA SPATIALLY INTERRELATE SYSTEM FOR SCIENTIFIC BIG DATA SPATIAL-SEAMLESS SHARING
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GLOBAL DATA SPATIALLY INTERRELATE SYSTEM FOR SCIENTIFIC BIG DATA SPATIAL-SEAMLESS SHARING

机译：全球数据用于科学大数据空间 - 无缝共享的空间相互关联系统

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摘要

A good data sharing system with spatial-seamless services will prevent the scientists from tedious, boring, and time consuming work of spatial transformation, and hence encourage the usage of the scientific data, and increase the scientific innovation. Having been adopted as the framework of Earth datasets by Group on Earth Observation (GEO), Earth System Spatial Grid (ESSG) is potential to be the spatial reference of the Earth datasets. Based on the implementation of ESSG, SDOG-ESSG, a data sharing system named global data spatially interrelate system (GASE) was design to make the data sharing spatial-seamless. The architecture of GASE was introduced. The implementation of the two key components, V-Pools, and interrelating engine, and the prototype is presented. Any dataset is firstly resampled into SDOG-ESSG, and is divided into small blocks, and then are mapped into hierarchical system of the distributed file system in V-Pools, which together makes the data serving at a uniform spatial reference and at a high efficiency. Besides, the datasets from different data centres are interrelated by the interrelating engine at the uniform spatial reference of SDOG-ESSG, which enables the system to sharing the open datasets in the internet spatial-seamless.
机译：具有空间 - 无缝服务的良好数据共享系统将防止科学家从繁琐，无聊和耗时的空间转型工作，因此鼓励对科学数据的使用，并增加科学创新。已被采用作为地球观测（Geo）的组的地球数据集框架，地球系统空间网格（ESSG）是地球数据集的空间引用。基于ESSG的实现，SDOG-ESSG，一个名为全球数据的数据共享系统，空间相互关联系统（GASE）是设计，使数据共享空间无缝。引入了Gase的结构。提出了两个关键组件，V池和相互关联引擎和原型的实现。首先将任何数据集重新采样到SDOG-ESSG中，并被分成小块，然后映射到V-Pools中的分布式文件系统的分层系统，它们一起使数据以统一的空间参考和高效率提供服务。此外，来自不同数据中心的数据集是由Sdog-essg的统一空间参考的相互关联引擎相互关联，这使得系统能够在互联网空间无缝中共享打开数据集。

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