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Chapitre D'ouvrage Année : 2019

Semantic Middleware Architectures for IoT Healthcare Applications

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Résumé

The adoption of the Internet of Things (IoT) in healthcare has received considerable interest in the past decade. Indeed, IoT-based solutions are poised to transform how we keep people safe and healthy especially as the demand for solutions to lower healthcare costs increases in the coming years. However, the heterogeneity of the things that can be connected in such environments makes interoperability among them a challenging problem. Moreover, the observations produced by these things are made available with various vocabularies and data formats. This heterogeneity prevents generic solutions from being adopted on a global scale and makes difficult to share and reuse data for other purposes than those for which they were initially set up. In this book chapter, we provide an overview of the different solutions from both technical and semantic perspectives that have been used recently to tackle the interoperability issue in such IoT environments and especially in healthcare domain. We also present an overview of semantic middleware solutions that have combined the technical and semantic techniques for a complete interoperable solution.

Dates et versions

hal-02383462 , version 1 (27-11-2019)

Identifiants

Citer

Rita Zgheib, Emmanuel Conchon, Rémi Bastide. Semantic Middleware Architectures for IoT Healthcare Applications. Lecture Notes in Computer Science, 11369, Springer, Cham, pp.263--294, 2019, Enhanced Living Environments, 978-3-030-10751-2. ⟨10.1007/978-3-030-10752-9_11⟩. ⟨hal-02383462⟩
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