Supply chains can be seen as cyber-physical networks grounded on object identification and tracking. Conventional trust models featuring centralized information management architectures and simplistic things classification lend two of the most relevant limitations to current solutions. Blockchain introduces novel and a valuable trust approaches while semantic technologies better permit a things description. This paper introduces a semantic-enhanced blockchain platform allowing a flexible object discovery. It is based on validation by consensus of smart contracts and adopt a semantic matchmaking between queries and object annotations expressed w.r.t. ontology models. Early experiments assess the good behaviour of the proposed framework.
Supply Chain Object Discovery with Semantic-enhanced Blockchain / Ruta, M.; Scioscia, F.; Ieva, S.; Capurso, G.; Di Sciascio, E.. - ELETTRONICO. - SenSys '17 Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems:(2017). (Intervento presentato al convegno 15th ACM Conference on Embedded Networked Sensor Systems - SenSys 2017 tenutosi a Delft, The Netherlands nel November 5-8, 2017) [10.1145/3131672.3136974].
Supply Chain Object Discovery with Semantic-enhanced Blockchain
Ruta, M.;Scioscia, F.;Ieva, S.;Capurso, G.;Di Sciascio, E.
2017-01-01
Abstract
Supply chains can be seen as cyber-physical networks grounded on object identification and tracking. Conventional trust models featuring centralized information management architectures and simplistic things classification lend two of the most relevant limitations to current solutions. Blockchain introduces novel and a valuable trust approaches while semantic technologies better permit a things description. This paper introduces a semantic-enhanced blockchain platform allowing a flexible object discovery. It is based on validation by consensus of smart contracts and adopt a semantic matchmaking between queries and object annotations expressed w.r.t. ontology models. Early experiments assess the good behaviour of the proposed framework.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
