Research Article
Towards High Throughput Semantic Translation
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@INPROCEEDINGS{10.1007/978-3-319-93797-7_9, author={Maria Ganzha and Marcin Paprzycki and Wiesław Pawłowski and Paweł Szmeja and Katarzyna Wasielewska and Bartłomiej Solarz-Niesłuchowski and Jara Puga Garc\^{\i}a}, title={Towards High Throughput Semantic Translation}, proceedings={Interoperability, Safety and Security in IoT. Third International Conference, InterIoT 2017, and Fourth International Conference, SaSeIot 2017, Valencia, Spain, November 6-7, 2017, Proceedings}, proceedings_a={INTERIOT \& SASEIOT}, year={2018}, month={7}, keywords={}, doi={10.1007/978-3-319-93797-7_9} }
- Maria Ganzha
Marcin Paprzycki
Wiesław Pawłowski
Paweł Szmeja
Katarzyna Wasielewska
Bartłomiej Solarz-Niesłuchowski
Jara Puga García
Year: 2018
Towards High Throughput Semantic Translation
INTERIOT & SASEIOT
Springer
DOI: 10.1007/978-3-319-93797-7_9
Abstract
One of “urban legends” of today’s computer science is: . 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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