Short paper: Harmonizing heterogeneous components in SeSaMe

Luciano Baresi, Sam Guinea, Adnan Shahzada · 2014

This paper describes SeSaMe, an RDF-enriched self-adaptive middleware for highly dynamic and autonomic complex systems. Semantic technologies make components of a system mutually interoperable and enable them to exchange information even when they are developed and deployed on different platforms. SeSaMe uses semantics to achieve dynamic component discovery and self-configurability in the network of Things, and to support the communication among heterogeneous Things. The paper exemplifies its contribution for harmonizing heterogeneous components in the context of a smart greenhouse scenario.

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