Overell, Simon; Magalhães, João and Rüger, Stefan
(2008).
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| URL: | http://dx.doi.org/10.1007/978-3-540-85760-0_110 |
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| DOI (Digital Object Identifier) Link: | https://doi.org/10.1007/978-3-540-85760-0_110 |
| Google Scholar: | Look up in Google Scholar |
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.
| Item Type: | Conference or Workshop Item |
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| Copyright Holders: | 2008 Springer-Verlag |
| ISSN: | 0302-9743 |
| Extra Information: | Published in: C.Peters et al. (Eds.): CLEF 2007, LNCS 5152, pp. 856-863, 2008 |
| Keywords: | placename disambiguation; geographic information retrieval |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Item ID: | 29868 |
| Depositing User: | Stefan Rüger |
| Date Deposited: | 25 Oct 2011 15:13 |
| Last Modified: | 17 May 2017 14:47 |
| URI: | http://oro.open.ac.uk/id/eprint/29868 |
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