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Towards High Throughput Semantic Translation

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Interoperability, Safety and Security in IoT (InterIoT 2017, SaSeIoT 2017)

Abstract

One of “urban legends” of today’s computer science is: use of semantic technologies can become a serious performance bottleneck. It is even possible that this, widely spread, belief is one of the reasons of slow progress in adopting semantic technologies in real-world applications. Since, obviously, IoT scenarios involve fast flowing streams of sensor data, will use of semantic technologies be “efficient enough” to not to adversely affect the effectiveness of the whole Internet of Things (IoT) ecosystem. The aim of this contribution is to provide an initial response to this question.

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Notes

  1. 1.

    http://alignapi.gforge.inria.fr/format.html.

  2. 2.

    http://alignapi.gforge.inria.fr/edoal.html.

  3. 3.

    https://kafka.apache.org/.

  4. 4.

    12-core Xeon E5-2673 offers two logical cores for each physical one, resulting in 4 (logical) cores available to the Azure VM.

  5. 5.

    https://www.r-project.org/.

  6. 6.

    https://akka.io/.

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Acknowledgment

This research was partially supported by the European Union’s “Horizon 2020” research and innovation program as part of the “Interoperability of Heterogeneous IoT Platforms” (INTER-IoT) project under Grant Agreement No. 687283.

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Correspondence to Wiesław Pawłowski .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ganzha, M. et al. (2018). Towards High Throughput Semantic Translation. In: Fortino, G., et al. Interoperability, Safety and Security in IoT. InterIoT SaSeIoT 2017 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 242. Springer, Cham. https://doi.org/10.1007/978-3-319-93797-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-93797-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93796-0

  • Online ISBN: 978-3-319-93797-7

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