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Geographic Expansion of Queries to Improve the Geographic Information Retrieval Task

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Natural Language Processing and Information Systems (NLDB 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7337))

Abstract

Geographic Information Retrieval (GIR) is concerned with improving the quality of geographically-specific Information Retrieval (IR), focusing on access to unstructured documents. Since GIR can be considered as an extension of IR, the application of Natural Language Processing (NLP) techniques, such as query expansion, can lead to significant improvements. In this paper we propose two NLP techniques of query expansion related to the augmentation of the geospatial part that is usually identified in a geographic query. The aim of both approaches is to retrieve possible relevant documents that are not retrieved using the original query. Then, we propose to add such new documents to the list of documents retrieved using the original query. In this way, the geo-reranking process takes into account more possible relevant documents. We have evaluated the proposed approaches using GeoCLEF as evaluation framework for GIR systems. The results obtained show that the use of proposed query expansion techniques can be a good strategy to improve the overall performance of a GIR system.

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Author information

Authors and Affiliations

  1. Languages and Information Systems Department, University of Sevilla, Spain

    José M. Perea-Ortega

  2. Computer Science Department, University of Jaén, Spain

    L. Alfonso Ureña-López

Authors
  1. José M. Perea-Ortega
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  2. L. Alfonso Ureña-López
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Editor information

Editors and Affiliations

  1. Information Science Department, University of Groningen, Oude Kijk in ’t Jatstraat 26, 9712 EK, Groningen, The Netherlands

    Gosse Bouma

  2. Faculty of Economics and Business, University of Groningen, Nettelbosje 2, 9747 AE, Groningen, The Netherlands

    Ashwin Ittoo  & Hans Wortmann  & 

  3. CNAM-Laboratoire Cédric, 292 rue St. Martin, 75141, Paris Cedex 03, France

    Elisabeth Métais

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Perea-Ortega, J.M., Ureña-López, L.A. (2012). Geographic Expansion of Queries to Improve the Geographic Information Retrieval Task. In: Bouma, G., Ittoo, A., Métais, E., Wortmann, H. (eds) Natural Language Processing and Information Systems. NLDB 2012. Lecture Notes in Computer Science, vol 7337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31178-9_9

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  • DOI: https://doi.org/10.1007/978-3-642-31178-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31177-2

  • Online ISBN: 978-3-642-31178-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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