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Pacific-Asia Conference on Knowledge Discovery and Data Mining

PAKDD 2012: Emerging Trends in Knowledge Discovery and Data Mining pp 57–69Cite as

Applying NLP Techniques for Query Reformulation to Information Retrieval with Geographical References

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7769))

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.

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Author information

Authors and Affiliations

  1. Languages and Information Systems Department, University of Sevilla, E.T.S. Ingeniería Informática, Avda. Reina Mercedes s/n, 410120, Sevilla, Spain

    José M. Perea-Ortega

  2. Computer Science Department, University of Jaén Escuela Politécnica Superior, Campus Las Lagunillas s/n, 23071, Jaén, Spain

    Miguel A. García-Cumbreras & L. Alfonso Ureña-López

Authors
  1. José M. Perea-Ortega
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  2. Miguel A. García-Cumbreras
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  3. L. Alfonso Ureña-López
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Editor information

Editors and Affiliations

  1. ISIR, Osaka University, 8-1, Mihogaoka, Ibaraki, Osaka, Japan

    Takashi Washio

  2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Boulevard, 518055, Shenzhen, Guangdong, China

    Jun Luo

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Perea-Ortega, J.M., García-Cumbreras, M.A., Ureña-López, L.A. (2013). Applying NLP Techniques for Query Reformulation to Information Retrieval with Geographical References. In: Washio, T., Luo, J. (eds) Emerging Trends in Knowledge Discovery and Data Mining. PAKDD 2012. Lecture Notes in Computer Science(), vol 7769. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36778-6_6

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  • DOI: https://doi.org/10.1007/978-3-642-36778-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36777-9

  • Online ISBN: 978-3-642-36778-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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