Distributed Semantic Discovery for Web-of-Things Enabled Smart Buildings

Gérôme Bovet (1, 2) , Jean Hennebert (3)

1 LTCI - Laboratoire Traitement et Communication de l'Information
2 iCoSys - Institute of complex systems
3 UNIFR - Université de Fribourg = University of Fribourg

Nowadays, our surrounding environment is more and more scattered with various types of sensors. Due to their intrinsic properties and representation formats, they form small islands isolated from each other. In order to increase interoperability and release their full capabilities, we propose to represent devices descriptions including data and service invocation with a common model allowing to compose mashups of heterogeneous sensors. Pushing this paradigm further, we also propose to augment service descriptions with a discovery protocol easing automatic assimilation of knowledge. In this work, we describe the architecture supporting what can be called a Semantic Sensor Web-of-Things. As proof of concept, we apply our proposal to the domain of smart buildings, composing a novel ontology covering heterogeneous sensing, actuation and service invocation. Our architecture also emphasizes on the energetic aspect and is optimized for constrained environments.

Mots clés: Smart buildings; Discovery; Semantics; Ontologies

Domaines: Informatique ubiquitaire

Gérôme Bovet, Jean Hennebert. Distributed Semantic Discovery for Web-of-Things Enabled Smart Buildings. First International Workshop on Architectures and Technologies for Smart Cities, Mar 2014, Dubai, United Arab Emirates. ⟨hal-00973506⟩