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
Resource annotation, dissemination and discovery in the Semantic Web of Things: a CoAP-based framework / Ruta, Michele; Scioscia, Floriano; Pinto, Agnese; DI SCIASCIO, Eugenio; Gramegna, Filippo; Ieva, Saverio; Loseto, Giuseppe. - (2013), pp. 527-534. (Intervento presentato al convegno IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013 tenutosi a Beijing, China nel 20-23 August 2013) [10.1109/GreenCom-iThings-CPSCom.2013.103].
Resource annotation, dissemination and discovery in the Semantic Web of Things: a CoAP-based framework
RUTA, Michele;SCIOSCIA, Floriano;PINTO, Agnese;DI SCIASCIO, Eugenio;GRAMEGNA, Filippo;IEVA, Saverio;LOSETO, Giuseppe
2013-01-01
Abstract
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 presentedI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
