Fenglei Yang, Jianhui Li, Qinghui Lin, Xiaodong Li, Junfeng Yang
{"title":"Design of spatial science data search engine for global change research","authors":"Fenglei Yang, Jianhui Li, Qinghui Lin, Xiaodong Li, Junfeng Yang","doi":"10.1109/ICCIAUTOM.2011.6184025","DOIUrl":null,"url":null,"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.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"06 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIAUTOM.2011.6184025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.