Information retrieval with geographical references. Relevant documents filtering vs. query expansion

Authors:
Miguel Á. García-Cumbreras;José M. Perea-Ortega;Manuel García-Vega;L. Alfonso Ureña-López
Affiliations:
Department of Computer Science, University of Jaén, Jaén, Spain;Department of Computer Science, University of Jaén, Jaén, Spain;Department of Computer Science, University of Jaén, Jaén, Spain;Department of Computer Science, University of Jaén, Jaén, Spain
Venue:
Information Processing and Management: an International Journal
Year:
2009

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Abstract

This is a thorough analysis of two techniques applied to Geographic Information Retrieval (GIR). Previous studies have researched the application of query expansion to improve the selection process of information retrieval systems. This paper emphasizes the effectiveness of the filtering of relevant documents applied to a GIR system, instead of query expansion. Based on the CLEF (Cross Language Evaluation Forum) framework available, several experiments have been run. Some based on query expansion, some on the filtering of relevant documents. The results show that filtering works better in a GIR environment, because relevant documents are not reordered in the final list.