Comparing Several Textual Information Retrieval Systems for the Geographical Information Retrieval Task

Authors:
José M. Perea-Ortega;Miguel A. García-Cumbreras;Manuel García-Vega;L. A. Ureña-López
Affiliations:
SINAI Research Group, Computer Science Department, University of Jaén, Spain;SINAI Research Group, Computer Science Department, University of Jaén, Spain;SINAI Research Group, Computer Science Department, University of Jaén, Spain;SINAI Research Group, Computer Science Department, University of Jaén, Spain
Venue:
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Year:
2008

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Abstract

This paper presents a comparison between three different Information Retrieval (IR) systems employed in a particular Geographical Information Retrieval (GIR) system, the GeoUJA IR, a GIR architecture developed by the SINAI research group. It could be interesting and useful for determining which of the most used IR systems works better in GIR task. In the experiments, we have used the Lemur, Terrier and Lucene search engines using mono and bilingual queries. We present baseline cases, without applying any external processes, such as query expansion or filtering. In addition, we have used the default settings of each IR system. Results show that Lemur works better using monolingual queries and Terrier works better using the bilingual ones.