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A Plugin Architecture Enabling Federated Search for Digital Libraries

  • Sergey Chernov
  • Christian Kohlschütter
  • Wolfgang Nejdl
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4312)

Abstract

Today, users expect a variety of digital libraries to be searchable from a single Web page. The German Vascoda project provides this service for dozens of information sources. Its ultimate goal is to provide search quality close to the ranking of a central database containing documents from all participating libraries. Currently, however, the Vascoda portal is based on a non-cooperative metasearch approach, where results from sources are merged randomly and ranking quality is sub-optimal. In this paper, we describe a Lucene-based plugin which replaces this method by a truly federated search across different search engines, where the exchange of document statistics improves document ranking. Preliminary evaluation results show ranking results equal to a centralized setup.

Keywords

Search Engine Digital Library Query Time Vector Space Model Search Quality 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sergey Chernov
    • 1
  • Christian Kohlschütter
    • 1
  • Wolfgang Nejdl
    • 1
  1. 1.L3S Research CenterUniversity of HannoverHannoverGermany

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