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Using Channel Theory to Account for Graphical Meaning Generations

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Diagrammatic Representation and Inference (Diagrams 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4045))

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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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Author information

Authors and Affiliations

  1. Faculty of Culture and Information Science, Doshisha University, Japan

    Atsushi Shimojima

Authors
  1. Atsushi Shimojima
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Editors and Affiliations

  1. Stanford University,, 94305-4101, Stanford, CA, USA

    Dave Barker-Plummer

  2. Representation and Cognition Group, University of Sussex, Brighton, UK

    Richard Cox

  3. Universidad Politécnica de Madrid, Boadilla del Monte, 28660, Madrid, Spain

    Nik Swoboda

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© 2006 Springer-Verlag Berlin Heidelberg

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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

  • Print ISBN: 978-3-540-35623-3

  • Online ISBN: 978-3-540-35624-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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