Abstract
This paper describes and analyzes the results of our experiments in Geographical Information Retrieval (GIR) in the context of our participation in the CLEF 2007 GeoCLEF Monolingual English task.
Our system uses Linguistic and Geographical Analysis to process topics and document collections. Geographical Document Retrieval is performed with Terrier and Geographical Knowledge Bases.
Our experiments show that Geographical Knowledge Bases can be used to improve the retrieval results of the Terrier state-of-the-art IR system by filtering out non geographically relevant documents.
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References
Ferrés, D., Rodríguez, H.: TALP at GeoCLEF 2006: Experiments Using JIRS and Lucene with the ADL Feature Type Thesaurus. In: Peters, C., Clough, P., Gey, F.C., Karlgren, J., Magnini, B., Oard, D.W., de Rijke, M., Stempfhuber, M. (eds.) CLEF 2006. LNCS, vol. 4730, pp. 962–969. Springer, Heidelberg (2007)
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Ferrés, D., Rodríguez, H.: TALP at GeoCLEF 2007: Using Terrier with Geographical Knowledge Filtering. In: Nardi, A., Peters, C. (eds.) Working Notes for the CLEF 2007 Workshop, Budapest, Hungary (September 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: Nardi, A., Peters, C. (eds.) Working Notes for the CLEF 2007 Workshop, Budapest, Hungary (September 2007)
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Ferrés, D., Rodríguez, H. (2008). TALP at GeoCLEF 2007: Results of a Geographical Knowledge Filtering Approach with Terrier. In: Peters, C., et al. Advances in Multilingual and Multimodal Information Retrieval. CLEF 2007. Lecture Notes in Computer Science, vol 5152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85760-0_105
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DOI: https://doi.org/10.1007/978-3-540-85760-0_105
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85759-4
Online ISBN: 978-3-540-85760-0
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