An axiomatic approach to the notion of semantic antagonism



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Rodríguez, Juan Tinguaro and Franco, Camilo and Vitoriano, Begoña and Montero, Javier (2011) An axiomatic approach to the notion of semantic antagonism. In World Congress of International Fuzzy Systems Association 2011 and Asia Fuzzy Systems Society International Conference 2011. Society for soft computing, Indonesia, FT-104. ISBN 978-602-99359-0-5

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The concept of semantic antagonism refers to the human capability of characterizing those objects of an universe of discourse being dissimilar, significantly different from or opposite to a given concept, predicate or previous knowledge. This capability is essential in the formation of linguistic polarities, such as false/true or good/bad, that enable us to analyze, organize (classify) and give meaning to reality in terms of opposite poles of semantic reference. Though they are related, the notion of semantic antagonism is somehow more general than that of antonymy, since the former allows to characterize opposition even in the absence of antonym words and is not constrained by the assumption of symmetry that underlies the last. Therefore, the notion of semantic antagonism seems to be well suited for giving base to those knowledge representation frameworks which introduce some kind of bipolarity or distinction between positive and negative information. In this paper, an axiomatic approach is taken in order to describe the reasonable assumptions a dissimilarity operator acting on a set of predicates should obey. This enables to derive a basic differentiation of these operators, and particularly to show that antonyms are special cases of antagonistic predicates. Furthermore, through the proposed axioms it is possible to introduce the idea of dissimilarity structure over a set of predicates, and the application of this last notion in the context of supervised learning for classification tasks is briefly described.

Item Type:Book Section
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Prceeding of 2011 IFSA Wold congress AFSS international conference

Subjects:Sciences > Mathematics > Logic, Symbolic and mathematical
ID Code:30917
Deposited On:17 Jun 2015 08:09
Last Modified:25 May 2016 15:06

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