Today’s Internet of Things (IoT) suffers from a lack of interoperability across platforms. As a consequence, semantic models for the IoT have recently emerged, both to describe domain knowledge and generic knowledge conceptualizing the interplay between IoT devices, services and real-world features. These semantic models share common definitions as they have been integrated into the Semantic Web and form a growing eco-system, on which the industry could rely.
In the mean time, there have been efforts to merge part of the IoT into the World Wide Web, advocating the use of Web APIs to publish real-world data and manage devices. This approach to the IoT is actively supported by the W3C through the recently created Web of Things (WoT) Interest Group. One of the first problems addressed by this group has been the semantic description of “WoT resources”, as opposed to other classical Web resources.
This talk will present the concepts that have been discussed within the W3C so far and their conceptualization into an ontology. The legitimacy of such an ontology within the IoT model eco-system will be shown, along with possible alignments with those models that have already found industrial applications, like the Semantic Sensor Network (SSN) ontology.
PhD candidate affiliated with the University of Passau (Germany) in collaboration with Siemens Corporate Technology. Holds a double-degree in Computer Science from the engineering school INSA Lyon and the University of Passau. Research topics include semantics for the Web of Things, knowledge management and exchange in an embedded environment.