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Interoperability Evaluation in Building Automation and Health Smart Homes Using Tag-Based Semantic Frameworks

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Biomedical Engineering Systems and Technologies (BIOSTEC 2020)

Abstract

In recent years, Component-based Automation Systems have been increasingly used in office buildings and the residential context, which enabled innovative solutions in areas like Building Automation Systems and Health Smart Homes. However, with an abundance of heterogeneous automation components available, the engineering process is becoming increasingly complex and needs to rely on computer-based tool support. Expressive formal models of component functionality are a prerequisite for component selection and early-on interoperability assessment. This paper extends a flexible framework of semantic annotations (tags) and investigates different algorithms for interoperability evaluation. Based on their individual characteristics, suitable application areas for these algorithms are identified and discussed in the context of automated engineering. Thus, a pairwise comparison and a reasoning-based algorithm provide a cornerstone for the proliferation of computer-based design algorithms to carry out complex planning tasks in the future.

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Notes

  1. 1.

    http://project-haystack.org/.

  2. 2.

    Note that the presented formalizations are no algorithms per se, but rather a declarative notation that can easily be converted into an imperative algorithm.

  3. 3.

    OWL API version 5.1.12, https://github.com/owlcs/owlapi.

  4. 4.

    HermiT OWL reasoner version 1.4.5.519, http://www.hermit-reasoner.com/.

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Acknowledgements

The work for this paper was funded by the European Social Fund and the Free State of Saxony (Grant no. 100310385).

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Correspondence to Bastian Wollschlaeger .

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Wollschlaeger, B., Eichenberg, E., Kabitzsch, K. (2021). Interoperability Evaluation in Building Automation and Health Smart Homes Using Tag-Based Semantic Frameworks. In: Ye, X., et al. Biomedical Engineering Systems and Technologies. BIOSTEC 2020. Communications in Computer and Information Science, vol 1400. Springer, Cham. https://doi.org/10.1007/978-3-030-72379-8_19

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  • DOI: https://doi.org/10.1007/978-3-030-72379-8_19

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