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Semiotic Conceptual Analysis of Part-Whole Relationships in Diagrams

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Graph-Based Representation and Reasoning (ICCS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13403))

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Abstract

Proverbially, a picture is worth a 1000 words because it conveys a multitude of concepts, their parts and relationships simultaneously. But it is difficult to precisely describe why and how a picture achieves this. This paper employs Semiotic Conceptual Analysis as a means for providing formal methods for analysing diagrams and other graphical representations, in particular, by modelling part-whole relationships amongst representations and defining quantitative measures and certain qualitative features for comparing different types of representations. The general background for this research is analysing diagrams for teaching purposes.

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Notes

  1. 1.

    In analogy to Stapleton et al.’s (2017) notion of ‘observability’.

  2. 2.

    http://oeis.org/A000595.

  3. 3.

    Based on personal teaching experience.

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Correspondence to Uta Priss .

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Priss, U. (2022). Semiotic Conceptual Analysis of Part-Whole Relationships in Diagrams. In: Braun, T., Cristea, D., Jäschke, R. (eds) Graph-Based Representation and Reasoning. ICCS 2022. Lecture Notes in Computer Science(), vol 13403. Springer, Cham. https://doi.org/10.1007/978-3-031-16663-1_7

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  • DOI: https://doi.org/10.1007/978-3-031-16663-1_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16662-4

  • Online ISBN: 978-3-031-16663-1

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