The Physical Semantic Web is proposed as an enhancement to the Google Physical Web approach for the Internet of Things. It allows associating beacons to semantic annotations (instead of trivial identifiers), in order to enable more powerful expressiveness in human-things and things-things interactions. This paper presents a general frame-work for the Physical Semantic Web based on machine-understandable descriptions of physical resources and novel logic-guided resource discovery capabilities. A possible application scenario and early experiments are outlined to prove benefits of the induced enhancements and the effectiveness of theoretical solutions.

Knowledge discovery and sharing in the IoT: the Physical Semantic Web vision / Ruta, Michele; Scioscia, Floriano; Ieva, Saverio; Loseto, Giuseppe; Gramegna, Filippo; Pinto, Agnese; DI SCIASCIO, Eugenio. - (2017), pp. 492-498. (Intervento presentato al convegno 32nd ACM SIGAPP Symposium On Applied Computing, SAC 2017 tenutosi a Marrakesh, Morocco nel April 4-6, 2017) [10.1145/3019612.3019701].

Knowledge discovery and sharing in the IoT: the Physical Semantic Web vision

RUTA, Michele;SCIOSCIA, Floriano;IEVA, Saverio;LOSETO, Giuseppe;GRAMEGNA, Filippo;PINTO, Agnese;DI SCIASCIO, Eugenio
2017-01-01

Abstract

The Physical Semantic Web is proposed as an enhancement to the Google Physical Web approach for the Internet of Things. It allows associating beacons to semantic annotations (instead of trivial identifiers), in order to enable more powerful expressiveness in human-things and things-things interactions. This paper presents a general frame-work for the Physical Semantic Web based on machine-understandable descriptions of physical resources and novel logic-guided resource discovery capabilities. A possible application scenario and early experiments are outlined to prove benefits of the induced enhancements and the effectiveness of theoretical solutions.
2017
32nd ACM SIGAPP Symposium On Applied Computing, SAC 2017
978-1-4503-4486-9
http://dl.acm.org/citation.cfm?id=3019701&CFID=941860037&CFTOKEN=54579830
Knowledge discovery and sharing in the IoT: the Physical Semantic Web vision / Ruta, Michele; Scioscia, Floriano; Ieva, Saverio; Loseto, Giuseppe; Gramegna, Filippo; Pinto, Agnese; DI SCIASCIO, Eugenio. - (2017), pp. 492-498. (Intervento presentato al convegno 32nd ACM SIGAPP Symposium On Applied Computing, SAC 2017 tenutosi a Marrakesh, Morocco nel April 4-6, 2017) [10.1145/3019612.3019701].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/90313
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