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2018 | OriginalPaper | Chapter

Towards High Throughput Semantic Translation

Authors : Maria Ganzha, Marcin Paprzycki, Wiesław Pawłowski, Paweł Szmeja, Katarzyna Wasielewska, Bartłomiej Solarz-Niesłuchowski, Jara Suárez de Puga García

Published in: Interoperability, Safety and Security in IoT

Publisher: Springer International Publishing

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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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previous chapter Observing Interoperability of IoT Systems Through Model-Based Testing

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Ganzha, M., Paprzycki, M., Pawłowski, W., Szmeja, P., Wasielewska, K.: Declarative ontology alignment format for semantic translation. In: 3rd International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU 2018) (submitted)

Title: Towards High Throughput Semantic Translation
Authors: Maria Ganzha
Marcin Paprzycki
Wiesław Pawłowski
Paweł Szmeja
Katarzyna Wasielewska
Bartłomiej Solarz-Niesłuchowski
Jara Suárez de Puga García
Publisher: Springer International Publishing
Book: Interoperability, Safety and Security in IoT
Print ISBN: 978-3-319-93796-0

Electronic ISBN: 978-3-319-93797-7

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-93797-7_9

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