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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fenglei Yang Jianhui Li Qinghui Lin Xiaodong Li Junfeng Yang |
| Copyright Year | 2011 |
| Description | Author affiliation: Computer Network Information Center, Chinese Academy of Sciences, Beijing, China (Fenglei Yang; Jianhui Li; Qinghui Lin; Xiaodong Li; Junfeng Yang) |
| Abstract | 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. |
| Starting Page | 488 |
| Ending Page | 494 |
| File Size | 1219989 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781467316897 |
| e-ISBN | 9781467316903 |
| DOI | 10.1109/ICCIAutom.2011.6184025 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-27 |
| Publisher Place | Iran |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Global Change Loading Distributed databases Data Management Search Engine Data aggregation Spatial Science Data Data models Monitoring MODIS Chemicals |
| Content Type | Text |
| Resource Type | Article |
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