Generation of Query-Biased Concepts Using Content and Structure for Query Reformulation

  • Youjin Chang
  • Jun Wang
  • Mounia Lalmas
Conference paper

DOI: 10.1007/978-3-540-69858-6_14

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5039)
Cite this paper as:
Chang Y., Wang J., Lalmas M. (2008) Generation of Query-Biased Concepts Using Content and Structure for Query Reformulation. In: Kapetanios E., Sugumaran V., Spiliopoulou M. (eds) Natural Language and Information Systems. NLDB 2008. Lecture Notes in Computer Science, vol 5039. Springer, Berlin, Heidelberg

Abstract

This paper proposes an approach for query reformulation based on the generation of appropriate query-biased concepts. Query-biased concepts are generated from retrieved documents using their content and structure. In this paper, we focus on three aspects of the concept generation; the selection of query-biased concepts from retrieved documents, the effect of the structure, and the number of retrieved documents used for generating the concepts.

Keywords

query reformulation feature extraction concept generation structure relevance feedback 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Youjin Chang
    • 1
  • Jun Wang
    • 1
  • Mounia Lalmas
    • 1
  1. 1.Queen Mary, University of LondonLondonUK

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