GIR with geographic query expansion

  • Authors:

  • A. Toral;O. Ferrández;E. Noguera;Z. Kozareva;A. Montoyo;R. Muñoz

  • Affiliations:

  • Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain;Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain;Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain;Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain;Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain;Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain

  • Venue:
  • CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
  • Year:
  • 2006

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Abstract

For our participation in the second edition of GeoCLEF, we have researched the incorporation of geographic knowledge into Geographic Information Retrieval (GIR). Our system is made up of an IR module (IR-n) and a Geographic Knowledge module (Geonames). The results show that the addition of geographic knowledge has a negative impact on the precision. However, the fact that for some topics the obtained results are better, makes us conclude that the addition of this knowledge could be useful but further research is needed in order to determine how.