Abstract
Information, objects and people are the core innovation actors of human society progress. Their inner relations can be rebounded by the Internet, the Internet of Things (IoT) and social network, respectively. The integration of social networking concepts into the IoT solutions has led to the so called Social Internet of Things (SIoT) paradigm, according to the vision of a future world populated by intelligent objects that permeate the everyday life of human beings.
In this context we propose an adaptive formal model for a SIoT network driven by a Semantic Complex Event Processing where “things” are capable of establishing social relationships with respect to their owners, according to the monitoring of sensors value, changed behavioral properties, state and/or context variables and user’s preference.
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Nocera, F., Parchitelli, A. (2018). An Adaptive Formal Metamodel for Semantic Complex Event Processing-Driven Social Internet of Things Network. In: Garrigós, I., Wimmer, M. (eds) Current Trends in Web Engineering. ICWE 2017. Lecture Notes in Computer Science(), vol 10544. Springer, Cham. https://doi.org/10.1007/978-3-319-74433-9_1
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DOI: https://doi.org/10.1007/978-3-319-74433-9_1
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