A Database of Aristotelian Diagrams: Empirical Foundations for Logical Geometry

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Diagrammatic Representation and Inference (Diagrams 2022)

Abstract

Aristotelian diagrams, such as the square of opposition, are among the oldest and most well-known types of logical diagrams. Within the burgeoning research program of logical geometry, we have been develo** a comprehensive database of Aristotelian diagrams that occur in the extant literature: Leonardi.DB (the Leuven Ontology for Aristotelian Diagrams, and its corresponding Database). This paper presents an (intermediate) report on this development. We describe the philosophical background and main motivations for Leonardi.DB, focusing on how the database provides a solid empirical foundation for theoretical research within logical geometry. We also discuss some of the main methodological and technical aspects of the database development. As a proof-of-concept, we provide some examples of the new kinds of research that will be facilitated by Leonardi.DB, e.g. regarding broad trends in the usage and visual properties of Aristotelian diagrams.

The first author holds a Research Professorship (BOFZAP) from KU Leuven. This research was funded through the KU Leuven research projects ‘Empirical Foundations for Logical Geometry: A Database of Aristotelian Diagrams’ (3H180236, 2018–2020) and ‘BITSHARE: Bitstring Semantics for Human and Artificial Reasoning’ (3H190254, 2019–2023).

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Notes

  1. 1.

    Cf. https://leonardi.logicalgeometry.org/.

  2. 2.

    A first and very preliminary report can be found in [25].

  3. 3.

    See [13] for the broader religious-cultural context of this temporary setback.

  4. 4.

    See https://data.cerl.org/thesaurus/_search?lang=en. Note that these other datasets concern people, books, etc.; setting aside Leonardi.DB, we currently do not know of any comprehensive database which primarily consists of (logical) diagrams.

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Demey, L., Smessaert, H. (2022). A Database of Aristotelian Diagrams: Empirical Foundations for Logical Geometry. In: Giardino, V., Linker, S., Burns, R., Bellucci, F., Boucheix, JM., Viana, P. (eds) Diagrammatic Representation and Inference. Diagrams 2022. Lecture Notes in Computer Science(), vol 13462. Springer, Cham. https://doi.org/10.1007/978-3-031-15146-0_10

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