Enabling Efficient Semantic Stream Processing Across the IoT Network Through Adaptive Distribution with DIVIDE
Author:
Funder
Fonds Wetenschappelijk Onderzoek
Agentschap Innoveren en Ondernemen
Universiteit Gent
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10922-023-09797-2.pdf
Reference74 articles.
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2. Aggarwal, C.C., Ashish, N., Sheth, A.: The Internet of Things: a survey from the data-centric perspective. In: Aggarwal, C.C. (ed.) Managing and Mining Sensor Data, pp. 383–428. Springer, New York (2013)
3. Kalamaras, I., Kaklanis, N., Votis, K., Tzovaras, D.: Towards big data analytics in large-scale federations of semantically heterogeneous IoT platforms. In: Iliadis, L., Maglogiannis, I., Plagianakos, V. (eds.) Artificial Intelligence Applications and Innovations: Proceedings of AIAI 2018 IFIP 12.5 International Workshops, pp. 13–23. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92016-0_2
4. Barnaghi, P., Wang, W., Henson, C., Taylor, K.: Semantics for the Internet of Things: early progress and back to the future. Int. J. Seman. Web Inf. Syst. 8(1), 1–21 (2012). https://doi.org/10.4018/jswis.2012010101
5. Dell’Aglio, D., Della Valle, E., Harmelen, F., Bernstein, A.: Stream reasoning: a survey and outlook. Data Sci. 1(1–2), 59–83 (2017). https://doi.org/10.3233/DS-170006
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