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

  • Daniel Ferrés
  • Horacio Rodríguez
Conference paper

DOI: 10.1007/978-3-540-85760-0_105

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5152)
Cite this paper as:
Ferrés D., Rodríguez H. (2008) TALP at GeoCLEF 2007: Results of a Geographical Knowledge Filtering Approach with Terrier. In: Peters C. et al. (eds) Advances in Multilingual and Multimodal Information Retrieval. CLEF 2007. Lecture Notes in Computer Science, vol 5152. Springer, Berlin, Heidelberg

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Daniel Ferrés
    • 1
  • Horacio Rodríguez
    • 1
  1. 1.TALP Research Center, Software DepartmentUniversitat Politècnica de CatalunyaBarcelonaSpain

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