Abstract
This paper presents the results of our initial experiments in the monolingual English task and the Bilingual Spanish → English task. We used the Terrier Information Retrieval Platform to run experiments for both tasks using the Inverse Document Frequency model with Laplace after-effect and normalization 2. Additional experiments were run with Indri, a retrieval engine that combines inference networks with language modelling. For the bilingual task we developed a component to first translate the topics from Spanish into English. No spatial analysis was carried out for any of the tasks. One of our goals is to have a baseline to compare further experiments with term translation of georeferences and spatial analysis. Another goal is to use ontologies for Integrated Geographic Information Systems adapted to the IR task. Our initial results show that the geographic information as provided does not improve significantly retrieval performance. We included the geographical terms appearing in all the fields. Duplication of terms might have decreased gain of information and affected the ranking.
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References
Lioma, C., He, B., Plachouras, V., Ounis, I.: The University of Glasgow at CLEF2004. French monolingual information retrieval with Terrier. In: Working notes of the CLEF 2004 Workshop, Bath, UK (2004)
Ounis, I., Amati, G., Plachouras, V., He, B., Macdonald, C., Johnson, D.: Terrier Information Retrieval Platform. In: Losada, D.E., Fernández-Luna, J.M. (eds.) ECIR 2005. LNCS, vol. 3408, pp. 517–519. Springer, Heidelberg (2005), http://ir.dcs.ga.ac.uk/terrier/
Purves, R., Jones, C. (eds.): SIGIR2004: Workshop on Geographic Information Retrieval, Sheffield, UK (2004)
Gey, F., Larson, R., Sanderson, M., Joho, H., Clough, P., Petras, V.: GeoCLEF: The CLEF 2005 Cross-Language Geographic Information Retrieval Track Overview. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 908–919. Springer, Heidelberg (2006)
Allan, J., Callan, J., Collins-Thompson, K., Croft, B., Feng, F., Fosher, D., Lafferty, L., Larkey, L., Metzler, D., Truong, T.N., Ogilvie, P., Si, L., Strohman, T., Turtle, H., Yau, L., Zhai, C.: The Lemur toolkit for language modeling and information retrieval (2005), http://www.cs.cmu.edu/~lemur/
Callan, J., Croft, B., Harding, S.: The INQUERY retrieval system. In: DEXA 1992, pp. 78–83 (1992)
He, B., Ounis, I.: A study of parameter tuning for the frequency normalization. In: Proceedings of the twelfth international conference on Information and knowledge management, New Orleans, LA, USA (2003)
Amati, G., van Rijsbergen, C.J.: Probabilistic Models of Information Retrieval Based on Measuring the Divergence from Randomness. ACM Transactions on Information Systems 20(4), 357–389
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Guillén, R. (2006). CSUSM Experiments in GeoCLEF2005: Monolingual and Bilingual Tasks. In: Peters, C., et al. Accessing Multilingual Information Repositories. CLEF 2005. Lecture Notes in Computer Science, vol 4022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11878773_107
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DOI: https://doi.org/10.1007/11878773_107
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45697-1
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