Social Internet of Things for Domotics: a Knowledge-based Approach over LDP-CoAP

Tracking #: 1636-2848

This paper is currently under review
Authors: 
Michele Ruta
Floriano Scioscia
Giuseppe Loseto
Filippo Gramegna
Saverio Ieva
Agnese Pinto
Eugenio Di Sciascio

Responsible editor: 
Guest Editors ST Built Environment 2017

Submission type: 
Full Paper
Abstract: 
Ambient Intelligence aims at simplifying the interaction of a user with her surrounding context minimizing the effort needed to increase comfort and assistance. Nevertheless, especially in built and structured environments, current technologies and market solutions are often far to provide the required levels of automation, coordination and adaptivity of the ambient. This paper proposes a novel semantic-based framework complying the emerging Social Internet of Things paradigm. Infrastructured spaces can be intended as populated by device agents organized in social networks, interacting autonomously and sharing information, cooperating and orchestrating resources. A service-oriented architecture allows collaborative dissemination, discovery and composition of service/resource descriptions. The Semantic Web languages are adopted as linguistic layer and mobile-oriented implementations of non-monotonic inferences for semantic matchmaking are used to give decision capabilities to software agents. Finally, the Linked Data Platform (LDP) over the Constrained Application Protocol (CoAP) provides the knowledge organization and sharing infrastructure underpinning social object interactions. The framework has been implemented and tested in a home automation prototype integrating several communication protocols and off-the-shelf devices. Experiments advocate the effectiveness of the approach.
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