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The Semantics of Models: A Semiotic Philosophy of Science Approach

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Semantics in Data and Knowledge Bases (SDKB 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7693))

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Abstract

This paper addresses a central problem in model theory: the semantics of models. On the basis of determining models as iconic signs, we put forward an integrative semiotic philosophy of science approach that sheds light on two pivotal aspects of models: 1) Models are determined by the semantic structure of a theory as well as by a set of specific attributes of the original; and 2) the representational relation between model and original is based upon a mapping between selected properties of the model and selected properties of its original. Subsequently, these results are refined by integrating a structuralist linguistic perspective that shows that modeling essentially avails itself on the semantic structure of language systems.

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Author information

Authors and Affiliations

  1. Institut für Pädagogik, Christian-Albrechts-Universität zu Kiel, 24098, Kiel, Germany

    Björn Kralemann

  2. Institut für Klassische Altertumskunde, Christian-Albrechts-Universität zu Kiel, 24098, Kiel, Germany

    Claas Lattmann

Authors
  1. Björn Kralemann
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  2. Claas Lattmann
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Editor information

Editors and Affiliations

  1. Software Competence Center Hagenberg, Softwarepark 21, 4232, Hagenberg, Austria

    Klaus-Dieter Schewe

  2. Department of Computer Science, Christian-Albrechts-University Kiel, Oltshausenstr. 40, 24098, Kiel, Germany

    Bernhard Thalheim

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Kralemann, B., Lattmann, C. (2013). The Semantics of Models: A Semiotic Philosophy of Science Approach. In: Schewe, KD., Thalheim, B. (eds) Semantics in Data and Knowledge Bases. SDKB 2011. Lecture Notes in Computer Science, vol 7693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36008-4_3

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  • DOI: https://doi.org/10.1007/978-3-642-36008-4_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36007-7

  • Online ISBN: 978-3-642-36008-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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