Enhanced Kepler Framework for Self-Archiving

نویسندگان

  • Xiaoming Liu
  • Kurt Maly
  • Mohammad Zubair
چکیده

In this paper, we introduce the Enhanced Kepler Framework, an evolution of the original Kepler framework which implements an OAI-PMH-compliant data provider for individual publishers. The enhanced Kepler framework is heavily influenced by Fasttrack, a peer-to-peer network. In particular, we introduce the concept of buddy nodes and SuperNodes to improve scalability. We also propose enhancements of OAI-PMH, the harvesting protocol used in the existing framework, to support the “push” and a hybrid “push/pull” model for metadata harvesting. The enhanced Kepler framework provides the following benefits: improved availability of content published by individuals, rapid discovery of content as soon as it is published, and bypassing firewall and network address translation proxy.

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تاریخ انتشار 2002