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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- 1.
AllSeen Alliance. https://allseenalliance.org/. Accessed on 20 March 2016.
- 2.
IoTivity. https://www.iotivity.org/. Accessed on 20 March 2016.
- 3.
Open Connectivity Foundation—https://openconnectivity.org/. Accessed on March 2020.
- 4.
Inter-IoT project. http://www.inter-iot-project.eu/.
- 5.
Semantic Sensor Network Ontology—https://www.w3.org/2005/Incubator/ssn/ssnx/ssn.
- 6.
- 7.
Smart Body Area Networks (SmartBAN); Service and application standardized enablers and interfaces, APIs and infrastructure for interoperability management—https://www.etsi.org/deliver/etsi_ts/103300_103399/103327/01.01.01_60/ts_103327v010101p.pdf.
- 8.
Sensor Model Language (SensorML)—https://www.ogc.org/standards/sensorml.
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Acknowledgements
This work has received funding from the University of Campania Luigi Vanvitelli V:ALERE research programme under the SSCeGov (Semantic, Secure and Law Compliant e-Government Processes) project.
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Di Martino, B., Esposito, A. (2021). Semantic Techniques to Support IoT Interoperability. In: Pandey, R., Paprzycki, M., Srivastava, N., Bhalla, S., Wasielewska-Michniewska, K. (eds) Semantic IoT: Theory and Applications. Studies in Computational Intelligence, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-64619-6_10
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