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Abstract
Geographic Information Retrieval (GIR) is concerned with the retrieval of documents based on both thematic and geographic content. An important issue in GIR, as for all IR, is relevance. In this paper we argue that spatial relevance should be considered independently from thematic relevance, and propose an initial scheme. A pilot study to assess this relevance scheme is presented, with initial results suggesting that users can distinguish between these two relevance dimensions, and that furthermore they have different properties. We suggest that spatial relevance requires greater assessor effort and more localised geographic knowledge than judging thematic relevance.
Research part-funded by EU-IST Projects IST-2001-35047 (SPIRIT) and IST-2002-2.3.1.12 (BRICKS).
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Authors and Affiliations
Department of Information Studies, University of Sheffield, UK
Paul D. Clough
Department of Computer Science, University of Glasgow, UK
Hideo Joho
Department of Geography, University of Zurich, Switzerland
Ross Purves
- Paul D. Clough
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- Hideo Joho
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- Ross Purves
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Editor information
Editors and Affiliations
Queen Mary, University of London, London, UK
Mounia Lalmas
Department of Information Science, City University, Northampton Square, EC1V OHB, London, UK
Andy MacFarlane
Knowledge Media Institute, The Open University, MK7 6AA, Milton Keynes, UK
Stefan Rüger
Queen Mary University of London, UK
Anastasios Tombros
CWI, Amsterdam, The Netherlands
Theodora Tsikrika
Department of Computing, Imperial College London, South Kensington Campus, SW7 2AZ, London, UK
Alexei Yavlinsky
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© 2006 Springer-Verlag Berlin Heidelberg
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Clough, P.D., Joho, H., Purves, R. (2006). Judging the Spatial Relevance of Documents for GIR. In: Lalmas, M., MacFarlane, A., Rüger, S., Tombros, A., Tsikrika, T., Yavlinsky, A. (eds) Advances in Information Retrieval. ECIR 2006. Lecture Notes in Computer Science, vol 3936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11735106_62
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