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Semantic Hashing to Remedy Uncertainties in Ontology-Driven Edge Computing

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Computational Science – ICCS 2023 (ICCS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 10477))

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Abstract

This paper discusses the specific kind of uncertainties, which appear in ontology-driven software development. We focus on the development of IoT applications whose source code is generated automatically by an ontology-driven framework. So-called “compatibility uncertainties” pop up when the ontology is being changed while the corresponding generated application is in operation. This specific kind of uncertainties can be treated as a variant of implementation uncertainties. The algorithm of its automated handling is presented. The proposed algorithm is implemented within the SciVi platform and tested in the real-world project devoted to the development of custom IoT-based hardware user interfaces for virtual reality. We use the SciVi platform as a toolset for the automatic generation of IoT devices firmware for ontology-driven Edge Computing but the problem discussed is common for any tools which are used for the generation of ontology-driven software.

This study is supported by the research grant No. ID92566385 from Saint Petersburg State University.

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Notes

  1. 1.

    https://scivi.tools/.

  2. 2.

    https://www.w3.org/OWL/.

  3. 3.

    https://www.w3.org/RDF/.

  4. 4.

    L1 and L2 stand for the native and foreign languages respectively.

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Authors and Affiliations

  1. Saint Petersburg State University, 7/9 Universitetskaya Emb., Saint Petersburg, 199034, Russia

    Konstantin Ryabinin

  2. Perm State University, 15 Bukireva Str., Perm, 614068, Russia

    Konstantin Ryabinin & Svetlana Chuprina

Authors
  1. Konstantin Ryabinin
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  2. Svetlana Chuprina
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Corresponding author

Correspondence to Konstantin Ryabinin .

Editor information

Editors and Affiliations

  1. Czech Technical University in Prague, Prague, Czech Republic

    Jiří Mikyška

  2. University of Amsterdam, Amsterdam, The Netherlands

    Clélia de Mulatier

  3. AGH University of Science and Technology, Krakow, Poland

    Maciej Paszynski

  4. University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya

  5. University of Tennessee at Knoxville, Knoxville, TN, USA

    Jack J. Dongarra

  6. University of Amsterdam, Amsterdam, The Netherlands

    Peter M.A. Sloot

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Ryabinin, K., Chuprina, S. (2023). Semantic Hashing to Remedy Uncertainties in Ontology-Driven Edge Computing. In: Mikyška, J., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M. (eds) Computational Science – ICCS 2023. ICCS 2023. Lecture Notes in Computer Science, vol 10477. Springer, Cham. https://doi.org/10.1007/978-3-031-36030-5_52

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  • DOI: https://doi.org/10.1007/978-3-031-36030-5_52

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