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Tackling IoT Interoperability Problems with Ontology-Driven Smart Approach

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Science and Global Challenges of the 21st Century - Science and Technology (Perm Forum 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 342))

Abstract

Recently, due to the active expansion of the Internet of Things (IoT) and Ubiquitous Computing, the neuro-augmented methods and tools for controlling software systems are on the rapid incline. But despite the existing understanding of the necessity of unified approaches for integration of neural interfaces into IoT ecosystems, those seem to be insufficiently developed. In most cases, the equipment is capable of working exclusively with a narrow range of software supplied by its manufacturer, which greatly hinders the integration process. In this paper, we propose the ontology-driven tools for the brain-computer interface integration into the IoT ecosystem. Unified high-level mechanism is provided that allows diverse software, services, and hardware to interconnect independently of particular IoT platforms. Visual editor is developed to design the integration process pipeline, describing desired devices and their behavior. Ontology-driven generator of corresponding firmware and middleware is created, which automates the software developers work. Some real-world applications based on the suggested approach are presented. Evaluation of the methods used is highlighted.

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Author information

Authors and Affiliations

  1. Perm State University, Bukireva Street 15, 614990, Perm, Russia

    Konstantin Ryabinin, Svetlana Chuprina & Ivan Labutin

Authors
  1. Konstantin Ryabinin
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  2. Svetlana Chuprina
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  3. Ivan Labutin
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Editors and Affiliations

  1. ISEG, Universidade de Lisboa, Lisbon, Portugal

    Alvaro Rocha

  2. Perm State University, Perm, Russia

    Ekaterina Isaeva

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Ryabinin, K., Chuprina, S., Labutin, I. (2022). Tackling IoT Interoperability Problems with Ontology-Driven Smart Approach. In: Rocha, A., Isaeva, E. (eds) Science and Global Challenges of the 21st Century - Science and Technology. Perm Forum 2021. Lecture Notes in Networks and Systems, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-89477-1_9

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