Automatic discovery of data resources in the e-government grid

  • Authors:
  • Xianhu Meng;Yan Wang;Wenyu Zhang;Jinqi Meng

  • Affiliations:
  • School of Information, Zhejiang University of Finance & Economics, Hangzhou, China;School of Information, Zhejiang University of Finance & Economics, Hangzhou, China;School of Information, Zhejiang University of Finance & Economics, Hangzhou, China;Library, Zhejiang University of Finance & Economics, Hangzhou, China

  • Venue:
  • WSEAS Transactions on Computers
  • Year:
  • 2009

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Abstract

Nowadays, there is a growing number of e-government portals and solutions that provide integrated governmental data resources to the customers (citizens, enterprises or other public sectors). However, the administration of distributed data resources are faced with increasing challenges caused by the discovery difficulties across the internet. To overcome this, this paper puts forward the concept of a model for automatic data resource discovery in the data grid environment for e-government applications. The paper elaborates the rule of global naming, brings forward metadata's registration and storage on the naming rule, and explores how to use it to find out the long-distance data resources rapidly. The paper also sets forth the method for restraining, sending and accessing data resources repeatedly by searching "comparison table" and using the time marker under the multiple data grid nodes, and points out that "comparison table" should adopt the strategy of prefering frequently used data and clearing rarely used data.