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A Meta-Taxonomy for Diagram Research

  • Chapter
Diagrammatic Representation and Reasoning

Abstract

What is the common ground for a science of diagrams? A simple definition of which notations qualify as diagrams, if it were possible to achieve one, is likely to exclude valuable insights. As an alternative we suggest that common ground should be established on a taxonomic basis. A wide range of candidate taxonomies has already been described in several different academic fields. When taxonomies are needed, we propose that the taxonomic precedents should be treated more analytically than simply selecting the most inclusive or rigorous to be extended as necessary.

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Authors
  1. Alan Blackwell
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  2. Yuri Engelhardt
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Sciences, Fordham University, 441 East Fordham Road, Bronx, NY, 10458, USA

    Michael Anderson MSc, PhD

  2. School of Computer Science and Software Engineering, Monash University, PO Box 26, Clayton Campus, Victoria, 3800, Australia

    Bernd Meyer Dr rer nat

  3. Department of Computer Science, University of York, Heslington, York, YO10 5DD, UK

    Patrick Olivier MA, MSc, PhD

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© 2002 Springer-Verlag London

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Blackwell, A., Engelhardt, Y. (2002). A Meta-Taxonomy for Diagram Research. In: Anderson, M., Meyer, B., Olivier, P. (eds) Diagrammatic Representation and Reasoning. Springer, London. https://doi.org/10.1007/978-1-4471-0109-3_3

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  • DOI: https://doi.org/10.1007/978-1-4471-0109-3_3

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-242-6

  • Online ISBN: 978-1-4471-0109-3

  • eBook Packages: Springer Book Archive

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