The Semantic Web and Internet of Things visions are converging toward the so-called Semantic Web of Things (SWoT), joining semantic-based intelligence and pervasiveness. Existing Semantic Web reasoners are currently impractical for SWoT, as they are resource consuming and optimized for standard inference tasks on large ontologies. On the contrary, SWoT use cases generally require quick resource discovery and decision support through semantic matchmaking in low CPU/memory and battery-powered devices. This paper presents a novel mobile inference engine designed from the ground up for the SWoT. It supports Semantic Web technologies and implements both standard (subsumption, satisfiability, classification) and non-standard (abduction, contraction, covering) inference services for moderately expressive knowledge bases. In addition to an architectural and functional description, a case study is presented in the ubiquitous Semantic Web and a performance evaluation is provided on a smartphone testbed.
A Mobile Matchmaker for Resource Discovery in the Ubiquitous Semantic Web / Ruta, Michele; Scioscia, Floriano; DI SCIASCIO, Eugenio. - ELETTRONICO. - (2015), pp. 336-343. (Intervento presentato al convegno 3rd IEEE International Conference on Mobile Services, MS 2015 tenutosi a New York, NY nel 27 June-2 July 2015) [10.1109/MobServ.2015.76].
A Mobile Matchmaker for Resource Discovery in the Ubiquitous Semantic Web
RUTA, Michele;SCIOSCIA, Floriano;DI SCIASCIO, Eugenio
2015-01-01
Abstract
The Semantic Web and Internet of Things visions are converging toward the so-called Semantic Web of Things (SWoT), joining semantic-based intelligence and pervasiveness. Existing Semantic Web reasoners are currently impractical for SWoT, as they are resource consuming and optimized for standard inference tasks on large ontologies. On the contrary, SWoT use cases generally require quick resource discovery and decision support through semantic matchmaking in low CPU/memory and battery-powered devices. This paper presents a novel mobile inference engine designed from the ground up for the SWoT. It supports Semantic Web technologies and implements both standard (subsumption, satisfiability, classification) and non-standard (abduction, contraction, covering) inference services for moderately expressive knowledge bases. In addition to an architectural and functional description, a case study is presented in the ubiquitous Semantic Web and a performance evaluation is provided on a smartphone testbed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
