Resource annotation, dissemination and discovery in the Semantic Web of Things: a CoAP-based framework

The Semantic Web of Things (SWoT) vision aims to provide more advanced resource management and discovery w.r.t. standard Internet of Things architectures, by means of the integration of knowledge representation and reasoning techniques originally devised for the Semantic Web. This paper proposes a novel SWoT framework, based on a backward-compatible extension of the Constrained Application Protocol (CoAP), supporting non-standard inference services for semantic matchmaking. It allows retrieval and logic-based ranking of annotated resources. A computationally efficient data mining is also integrated in the framework to process raw data gathered from the environment in order to detect high-level events and characterize them with machine-understandable metadata. In order to test the effectiveness of the proposed approach, a case study about environmental risk prevention for Vehicular Ad-hoc Networks (VANETs) is presented