Design and Implementation of a SOLR Plug-in for Chinese-English Cross-Language Query Expansion Based on SKOS Thesauri

  • Wei Sun
  • Fabrizio Celli
  • Ahsan Morshed
  • Yves Jaques
  • Johannes Keizer
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 133)

Abstract

Given that existing studies for query expansion techniques for Chinese-English are relatively few and their level of standardization low, in order to improve efficiency of Chinese-English cross-language retrieval, this paper discusses the design and implementation of a SOLR plug-in for Chinese-English cross-language query expansion based on SKOS thesauri and used within the AGRIS agricultural bibliographic system. The paper also elaborates the key techniques involved in the plug-in. Finally, taking the AGRIS data resources as an example, the paper shows application examples for segmentation of mixed Chinese and English, user query parsing and AGRIS retrieval system etc., techniques that have improved the Chinese-English cross-language retrieval efficiency to a certain extent, and laid a technical foundation for research about knowledge retrieval and discovery in related fields.

Keywords

SOLR SKOS Linked open data Index Query Expansion 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Wei Sun
    • 1
  • Fabrizio Celli
    • 2
  • Ahsan Morshed
    • 2
  • Yves Jaques
    • 2
  • Johannes Keizer
    • 2
  1. 1.Institute of Agriculture InformationChinese Academy of Agricultural SciencesBeijingP.R. China
  2. 2.FAO of the United NationsRomeItaly

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