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Towards an Optimized Semantic Interoperability Framework for IoT-Based Smart Home Applications

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Internet of Things and Big Data Analytics for Smart Generation

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 154))

Abstract

Nowadays, in the Internet of Things (IoT) applications, semantic interoperability is the new and disruptive buzzword for exchange the resources information in a consistent manner. Billions of heterogeneous resources are connected to the internet, not only from sensors and actuators but also from various IoT deployment models, a huge variety of data, high volume of data and low-level descriptive resources. Semantic interoperability problem is carried out in these heterogeneous IoT resources. To accomplish semantic interoperability in the Internet of Things (IoT) is a vital challenge. In retort to this, towards an optimized semantic interoperability framework has been proposed for generating the resources automatically. The corresponding semantic graphs are determining through IoT-based smart home resources from RESTful principles and to do operational behavioral of implicit links among IoT resources. In this chapter, the smart home resources have been taken and implemented through Restlet framework. Then the generated RDF graph is semantically interoperable and intercommunicated between the IoT based smart home resources. The proposed framework has been implemented on IoT-based cloud platform and has been compared with the existing state of the art schemes with obtained results. Finally, the obtained results show that the proposed framework is optimized towards the semantic interoperability in IoT domains for smart home applications.

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Correspondence to Sivadi Balakrishna .

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Balakrishna, S., Thirumaran, M. (2019). Towards an Optimized Semantic Interoperability Framework for IoT-Based Smart Home Applications. In: Balas, V., Solanki, V., Kumar, R., Khari, M. (eds) Internet of Things and Big Data Analytics for Smart Generation. Intelligent Systems Reference Library, vol 154. Springer, Cham. https://doi.org/10.1007/978-3-030-04203-5_9

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