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A methodology to allow avalanche forecasting on an information retrieval system

Purves, R. and Sanderson, M. (1998) A methodology to allow avalanche forecasting on an information retrieval system. Journal of Documentation, 54 (2). pp. 198-209. ISSN 0022-0418

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Abstract

This paper presents adaptations and tests undertaken to allow an information retrieval (IR) system to forecast the likelihood of avalanches on a particular day. The forecasting process uses historical data of the weather and avalanche conditions for a large number of days. A method for adapting these data into a form usable by a text-based IR system is first described, followed by tests showing the resulting system’s accuracy to be equal to existing ‘custom built’ forecasting systems. From this, it is concluded that the adaptation methodology is effective at allowing such data to be used in a text-based IR system. A number of advantages in using an IR system for avalanche forecasting are also presented.

Item Type: Article
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Repository Officer
Date Deposited: 28 Nov 2008 11:28
Last Modified: 08 Feb 2013 16:57
Published Version: http://dx.doi.org/10.1108/EUM0000000007166
Status: Published
Publisher: Emerald
Refereed: Yes
Identification Number: 10.1108/EUM0000000007166
URI: http://eprints.whiterose.ac.uk/id/eprint/4567

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