期刊文献+

非合约对地观测数据源的动态汇聚

Dynamic aggregation of non-contractual earth observation data-sources
下载PDF
导出
摘要 互联网上存在大量的免费、公开、有价值的非合约形式的对地观测数据源,这些数据源具有网页查询入口、海量数据隐藏在后台的大型数据库且数据共享平台多样、不同种类空间数据平台难以互联等特点,难以利用传统技术实现数据汇聚和共享。在阐述目前遇到的问题后,提出了一种基于暗网爬虫架构的非合约异构分布式数据源被动汇聚架构;设计出一套数据源识别标准、非合约式数据源发现机制、非合约式数据源搜索条件树构建模式、非合约式数据源索引机制以及数据源异步更新规则,成功汇聚了分布在国际上不同网络域的五个大型对地观测数据源,包括NASA、USGS、ASAR等三个国际上使用较为广泛的运行性数据源;形成了对地观测数据资源自动化汇聚和更新工具集,最终使用户可以通过统一查询界面获取非合约对地观测数据资源信息。 It is difficult to use the traditional technology to realize data aggregation and data sharing for the Internet, which contains a large number of free, open and valuable non-contractual earth obser- vation data sources. These data sources have the characteristics of webpage query entrance, massive data hidden in the network background database, data sharing platform diversity and different kinds of spatial data platform to interconnect etc. Considering these problems, a non-contractual heterogeneous distribu ted data sources passive aggregation architecture is proposed, which is based on deep web crawler tech- nology. Meanwhile, we design a data source identification standard, non-contractual data source discov- ery mechanism, non-contractual data source search tree building mode, non-contractual data source inde- xing mechanism and data source asynchronous update rules. Using this mechanism, we archive 5 data sources of large data sharing system including NASA, USGS, ASAR, these three widely used data re- sources and form earth observation data resouree automatic aggregation and update tool sets. Eventual- ly, through a unified query interface, users can obtain non-contractual earth observation data resouree information.
出处 《计算机工程与科学》 CSCD 北大核心 2013年第11期68-75,共8页 Computer Engineering & Science
基金 国家863计划资助项目(2012AA12A301)
关键词 对地观测数据搜索 非合约式数据源 暗网爬虫 增量爬虫 earth observation data search non-contractual data sources deep web crawler incremental crawler
  • 相关文献

参考文献8

二级参考文献69

  • 1杨海东,叶小岭,张颖超.基于Hash算法实现搜索引擎中重复WEB页面的消除[J].微计算机信息,2006,22(09X):299-301. 被引量:6
  • 2关于进一步做好我国地球科学、资源与环境科学研究基础资料与数据共享的建议[J].地球科学进展,1996,11(1):122-123. 被引量:3
  • 3赵朋朋,高岭,崔志明.基于查询接口特征的Deep Web数据源自动分类[J].微电子学与计算机,2006,23(10):47-50. 被引量:11
  • 4Jesse James Garrett. Ajax: A New Approach to Web Applications.http://www.adaptivepath.com/ideas/essay s/archives/000385.php2005.
  • 5Alvarez M, Pan A, Raposo J, Vina A. Client-Side Deep Web Data Extraction ext ended paper, http://www.tic. udc.es/-mad/publications/csdeepweb_extended.pdf.
  • 6Steindl C. Program slicing for object-oriented programmming languages [PhD Thesis]. Johannes Kepler University Linz. 1999.
  • 7Weiser M. Program slicing. IEEE Transactions on Software Engineering, July1984.
  • 8Ottenstein K J, Ottenstei LM. The program dependence graph in a softwaredevelopment environment. Proceedings of the ACM SIGSOFT/SIGP LAN software Engineering Sysposium on Practical Software Development Environments, ACM SIGPLAN Notices. 1984,19(5).
  • 9CHANG K C C, HE B, LI C, et al. Structured databases on the Web: observations and implications[ C]//Proc of 2008 ACM SIGMOD International Conference on Management of Data. 2004:61-70.
  • 10CHANG K C C, HE B, ZHANG Z. Toward large-scale integration: building a metaquerier over databases on the Web [ C ]//Proc of the 2nd Conference on Innovative Data Systems Research. Asilomar: [ s. n. ], 2005: 44-55.

共引文献59

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部