Abstract
The motivation for modelling the effects of climate change on viticulture and wine quality using both quantitative and qualitative data within an integrated analytical framework is described. The constraints and solutions evident when taking such an approach are outlined. WEBSOM is a novel self-organising map (SOM) method for extracting relevant domain-dependent characteristics from web based texts and in this case, investigated for modelling wine quality resulting from climate variation, by web text mining published descriptions made by sommeliers about this phenomenon. This paper describes experiments using the WEBSOM method with their results. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Shanmuganathan, S., & Sallis, P. (2009). Modelling climate change effects on wine quality based on expert opinions expressed in free-text format: The WEBSOM approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5506 LNCS, pp. 917–925). https://doi.org/10.1007/978-3-642-02490-0_112
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