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).Before downloading, please read NORA policies.
Restricted to NORA staff only
Download (81Kb) | Request a copy
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|
|NORA Subject Terms:||Data and Information|
|Date made live:||15 Jul 2008 15:05|
Actions (login required)