Do Expressive Geographic Queries Lead to Improvement in Retrieval Effectiveness?

  • Damien Palacio
  • Christian Sallaberry
  • Guillaume Cabanac
  • Gilles Hubert
  • Mauro Gaio
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)


In an information retrieval (IR) context, users usually issue queries with few terms and no operators (e.g., and, or, +). However, most of users’ information needs involve more expressiveness (e.g., ‘Potato famine in Ireland, but not in Cork’). Our work deals with this category of queries that may be processed by geographic IR (GIR) systems to parse digital libraries according to spatial, temporal, and topical criteria. We propose a GIR framework that supports expressive queries and aggregates results of a multi-criteria search. We also conduct experiments to verify that this approach improves the effectiveness of such search engines (improvement of 27% for topical criteria only, and of 54% for spatial and temporal criteria).


Geographic information retrieval Expressive queries Criteria combination Meta-search engine Effectiveness measurement 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Damien Palacio
    • 1
    • 3
  • Christian Sallaberry
    • 1
  • Guillaume Cabanac
    • 2
  • Gilles Hubert
    • 2
  • Mauro Gaio
    • 1
  1. 1.LIUPPA ÉAUniversité de Pau et des Pays de l’AdourBayonneFrance
  2. 2.Université de Toulouse,CNRS,IRIT UMRToulouseFrance
  3. 3.GIS, Geographisches InstitutUniversität ZürichZürichSwitzerland

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