Abstract
Many graphical representation systems apparently support derivative meanings, namely, meaning relations not directly legitimized by the systems’ semantic conventions. Practitioners and researchers of graphical communication have long realized the functional importance of the generative nature of graphical meaning, yet no systematic attempts have been made to clarify the informational mechanism behind it. In this project, we develop a mathematical framework in which meaning derivation properties of graphical systems are explicitly modeled and accounted for.
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Shimojima, A. (2006). Using Channel Theory to Account for Graphical Meaning Generations. In: Barker-Plummer, D., Cox, R., Swoboda, N. (eds) Diagrammatic Representation and Inference. Diagrams 2006. Lecture Notes in Computer Science(), vol 4045. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783183_37
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DOI: https://doi.org/10.1007/11783183_37
Publisher Name: Springer, Berlin, Heidelberg
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