TALP at GeoCLEF 2007: Results of a Geographical Knowledge Filtering Approach with Terrier

Authors:
Daniel Ferrés;Horacio Rodríguez
Affiliations:
TALP Research Center, Software Department, Universitat Politècnica de Catalunya, Barcelona, Spain 08043;TALP Research Center, Software Department, Universitat Politècnica de Catalunya, Barcelona, Spain 08043
Venue:
Advances in Multilingual and Multimodal Information Retrieval
Year:
2008

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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.