Integrating Methods from IR and QA for Geographic Information Retrieval

  • Johannes Leveling
  • Sven Hartrumpf
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5706)


This paper describes the participation of GIRSA at GeoCLEF 2008, the geographic information retrieval task at CLEF. GIRSA combines information retrieval (IR) on geographically annotated data and question answering (QA) employing query decomposition.

For the monolingual German experiments, several parameter settings were varied: using a single index or separate indexes for content and geographic annotation, using complex term weighting, adding location names from the topic narrative, and merging results from IR and QA, which yields the highest mean average precision (0.2608 MAP).

For bilingual experiments, English and Portuguese topics were translated via the web services Applied Language Solutions, Google Translate, and Promt Online Translator. For both source languages, Google Translate seems to return the best translations. For English (Portuguese) topics, 60.2% (80.0%) of the maximum MAP for monolingual German experiments, or 0.1571 MAP (0.2085 MAP), is achieved.

As a post-official experiment, translations of English topics were analysed with a parser. The results were employed to select the best translation for topic titles and descriptions. The corresponding retrieval experiment achieved 69.7% of the MAP of the best monolingual experiment.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Leveling, J., Hartrumpf, S.: On metonymy recognition for geographic information retrieval. IJGIS 22(3), 289–299 (2008)Google Scholar
  2. 2.
    Leveling, J., Hartrumpf, S.: Inferring location names for geographic information retrieval. In: Peters, C., Jijkoun, V., Mandl, T., Müller, H., Oard, D.W., Peñas, A., Petras, V., Santos, D. (eds.) CLEF 2007. LNCS, vol. 5152, pp. 773–780. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  3. 3.
    Leveling, J., Hartrumpf, S.: University of Hagen at GeoCLEF 2008: Combining IR and QA for geographic information retrieval. In: Results of the CLEF 2008 Cross-Language System Evaluation Campaign, Working Notes for the CLEF 2008 Workshop, Aarhus, Denmark (2008)Google Scholar
  4. 4.
    Mandl, T., Carvalho, P., Gey, F., Larson, R., Santos, D., Womser-Hacker, C.: GeoCLEF 2008: the CLEF 2008 cross-language geographic information retrieval track overview. In: Peters, C., et al. (eds.) CLEF 2008. LNCS, vol. 5706, pp. 808–821. Springer, Heidelberg (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Johannes Leveling
    • 1
  • Sven Hartrumpf
    • 2
  1. 1.Centre for Next Generation Localisation (CNGL)Dublin City UniversityDublin 9Ireland
  2. 2.Intelligent Information and Communication Systems (IICS)University of HagenHagenGermany

Personalised recommendations