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Probabilistic latent semantic analysis as a potential method for integrating spatial data concepts

Wadsworth, Richard A.; Comber, Alexis J.; Fisher, Peter F.. 2008 Probabilistic latent semantic analysis as a potential method for integrating spatial data concepts. In: Navratil, Gerhard, (ed.) Proceedings of the Colloquium for Andrew U. Frank's 60th Birthday 2008. Vienna, Department of Geoinformation and Cartography, 99-108. (GeoInfo, 39).

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Abstract/Summary

In this paper we explore the use of Probabilistic Latent Semantic Analysis (PLSA) as a method for quantifying semantic differences between land cover classes. The results are promising, revealing ‘hidden’ or not easily discernible data concepts. PLSA provides a ‘bottom up’ approach to interoperability problems for users in the face of ‘top down’ solutions provided by formal ontologies. We note the potential for a meta-problem of how to interpret the concepts and the need for further research to reconcile the top-down and bottom-up approaches.

Item Type: Publication - Book Section
Programmes: CEH Programmes pre-2009 publications > Environmental Informatics
CEH Sections: Watkins
ISBN: 9783901716416
NORA Subject Terms: Data and Information
Related URLs:
Date made live: 15 Jul 2008 15:05
URI: http://nora.nerc.ac.uk/id/eprint/2298

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