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Link to original content: https://doi.org/10.1007/978-3-540-85760-0_110
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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5152))

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Abstract

In this paper we present Forostar, our GIR system. Forostar augments a traditional IR VSM approach with geographic information.

We detail our placename disambiguation and geographic relevance ranking methods, as well as how textual and geographic relevance assessments are combined. The paper concludes with an analysis of our results including significance testing where we show our baseline method, in fact, to be best. Finally we identify weaknesses in our approach and ways in which the system could be optimised and improved.

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Authors

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Carol Peters Valentin Jijkoun Thomas Mandl Henning Müller Douglas W. Oard Anselmo Peñas Vivien Petras Diana Santos

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Overell, S., Magalhães, J., Rüger, S. (2008). GIR Experiments with Forostar. In: Peters, C., et al. Advances in Multilingual and Multimodal Information Retrieval. CLEF 2007. Lecture Notes in Computer Science, vol 5152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85760-0_110

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  • DOI: https://doi.org/10.1007/978-3-540-85760-0_110

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85759-4

  • Online ISBN: 978-3-540-85760-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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