Semantic Techniques to Support IoT Interoperability

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Abstract

Smart devices and sensors have reached a very high level of pervasiveness: we are practically surrounded by intelligent items, which continuously communicate with each other and collect information. One of the most challenging issues regarding the use of such sensors regards the possibility to seamlessly make them interoperate to reach a specific goal. This objective could be difficult to achieve, due to the lack of a universally accepted standard for sensor communications. In this paper, we present a prototype tool for the analysis of sensors’ API that, through a semantic graph representation, tries to overcome the possible interoperability issues that may arise in a sensor network, and provides instrument to support sensors’ orchestration and management.

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APA

Di Martino, B., & Esposito, A. (2021). Semantic Techniques to Support IoT Interoperability. In Studies in Computational Intelligence (Vol. 941, pp. 229–244). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-64619-6_10

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