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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bucher, B., Clough, P., Joho, H., Purves, R., Syed, A.K.: Geographic IR Systems: Requirements and Evaluation. In: Proceedings of the 22nd International Cartographic Conference (2005)
Perea-Ortega, J.M., García-Cumbreras, M.A., García-Vega, M., Montejo-Ráez, A.: GEOUJA System. University of Jaén at GEOCLEF 2007. In: Working Notes of the Cross Language Evaluation Forum (CLEF 2007), p. 52 (2007)
García-Cumbreras, M.A., Ureña-López, L.A., Martínez-Santiago, F., Perea-Ortega, J.M.: BRUJA System. The University of Jaén at the Spanish task of QA@CLEF 2006. LNCS. Springer, Heidelberg (2007)
Mandl, T., Gey, F., Nunzio, G.D., Ferro, N., Larson, R., Sanderson, M., Santos, D., Womser-Hacker, C., Xie, X.: Geoclef 2007: the clef 2007 cross-language geographic information retrieval track overview. In: Proceedings of the Cross Language Evaluation Forum (CLEF 2007) (2007)
Buckley, C., Salton, G., Allan, J., Singhal, A.: Automatic query expansion using smart: Trec 3. In: Proceedings of TREC3, pp. 69–80. NIST, Gaithesburg (1995)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Perea-Ortega, J.M., García-Cumbreras, M.A., García-Vega, M., Ureña-López, L.A. (2008). Comparing Several Textual Information Retrieval Systems for the Geographical Information Retrieval Task. 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. https://doi.org/10.1007/978-3-540-69858-6_15
Download citation
DOI: https://doi.org/10.1007/978-3-540-69858-6_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69857-9
Online ISBN: 978-3-540-69858-6
eBook Packages: Computer ScienceComputer Science (R0)