Title: A logical inference approach to query expansion with social tags
Authors: Lioma, Christina
Blanco, Roi
Moens, Marie-Francine
Issue Date: 2009
Publisher: Springer
Host Document: Lecture Notes in Computer Science vol:5766 pages:358-361
Conference: Second international conference on the theory of information retrieval, ICTIR 2009 location:Cambridge, UK date:10-12 September 2009
Abstract: Query Expansion (QE) refers to the Information Retrieval
(IR) technique of adding assumed relevant terms to a query in order to render it more informative, and hence more likely to retrieve relevant documents. A key problem is how to identify the terms to be added, and how to integrate them into the original query. We address this problem by using as expansion terms social tags that are freely available on the
Web. We integrate these tags into the query by treating the QE process as a logical inference (initially proposed in [3]) and by considering the addition of tags as an extra deduction to this process. This work extends Nie’s logical inference formalisation of QE to process social tags, and
proposes an estimation of tag salience, which is experimentally shown to yield competitive retrieval performance.
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Informatics Section

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