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Augmenting Internet of Things (IoT) Architectures with Semantic Capabilities

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The Art of Structuring

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Abstract

Existing IoT reference architectures specify system structures, but provide little guidance for the semantic foundations required to create and verify system functionality and quality (e.g. security, performance) attributes. Three types of semantics are investigated: (1) Flow Semantics, (2) Quality Semantics, and (3) Evolution Semantics. We propose that IoT architectures include prescriptive models and processes to support the analysis and design of flows, qualities, and evolutions in IoT applications. The goal is to develop engineering principles and practices for maintaining intellectual control in the development of IoT systems.

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Author information

Authors and Affiliations

  1. University of South Florida, Tampa, FL, USA

    Alan Hevner

  2. Affirm Logic, Reston, VA, USA

    Richard Linger

Authors
  1. Alan Hevner
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  2. Richard Linger
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Corresponding author

Correspondence to Alan Hevner .

Editor information

Editors and Affiliations

  1. Department of Information Systems, University of Münster, Münster, Germany

    Katrin Bergener

  2. Department of Information Systems, University of Münster, Münster, Germany

    Michael Räckers

  3. Department of Information Systems, University of Münster, Münster, Germany

    Armin Stein

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Hevner, A., Linger, R. (2019). Augmenting Internet of Things (IoT) Architectures with Semantic Capabilities. In: Bergener, K., Räckers, M., Stein, A. (eds) The Art of Structuring. Springer, Cham. https://doi.org/10.1007/978-3-030-06234-7_37

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