Title :
Short paper: Harmonizing heterogeneous components in SeSaMe
Author :
Baresi, Luciano ; Guinea, Sam ; Shahzada, Adnan
Author_Institution :
Dipt. di Elettron. Inf. e Bioingegneria, Politec. di Milano, Milan, Italy
Abstract :
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.
Keywords :
Internet; Internet of Things; middleware; open systems; RDF enriched self-adaptive middleware; SeSaMe; autonomic complex systems; dynamic complex systems; dynamic component discovery; semantic technologies; smart greenhouse scenario; Context; Green products; Internet; Knowledge based systems; Middleware; Semantics; Topology;
Conference_Titel :
Internet of Things (WF-IoT), 2014 IEEE World Forum on
Conference_Location :
Seoul
DOI :
10.1109/WF-IoT.2014.6803157