Applying NLP techniques for query reformulation to information retrieval with geographical references

  • Authors:

  • José M. Perea-Ortega;Miguel A. García-Cumbreras;L. Alfonso Ureña-López

  • Affiliations:

  • Languages and Information Systems Department, University of Sevilla, E.T.S. Ingeniería Informática, Sevilla, Spain;Computer Science Department, University of Jaén Escuela Politécnica Superior, Jaén, Spain;Computer Science Department, University of Jaén Escuela Politécnica Superior, Jaén, Spain

  • Venue:
  • PAKDD'12 Proceedings of the 2012 Pacific-Asia conference on Emerging Trends in Knowledge Discovery and Data Mining
  • Year:
  • 2012

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Abstract

Geographic Information Retrieval (GIR) is an active and growing research area that focuses on the retrieval of textual documents according to a geographical criteria of relevance. However, since a GIR system can be treated as a traditional Information Retrieval (IR) system, it is important to pay attention to finding effective methods for query reformulation. In this way, the search results will improve their quality and recall. In this paper, we propose different Natural Language Processing (NLP) techniques of query reformulation related to the modification and/or expansion of both parts thematic and geospatial that are usually recognized in a geographical query. We have evaluated each of the reformulations proposed using GeoCLEF as an evaluation framework for GIR systems. The results obtained show that all proposed query reformulations retrieved relevant documents that were not retrieved using the original query.