METADEPCAS: Introducing semantic RFID data management

Abstract

Traditional Radio-Frequency IDentification (RFID) applications have been centered on replacing physical codes in supply chain management. The article presents a framework allowing both quick decentralized on-line item discovery and centralized off-line massive business logic analysis, according to needs and requirements of supply chain actors. A semantic-based environment, that we call METADEPCAS where tagged objects become resources exposing to an RFID reader not only a trivial identification code but a semantic annotation, enables tagged objects to describe themselves directly without depending on a centralized infrastructure. On the other hand, facing on data management issues, a proposal is formulated for an effective off-line multidimensional analysis of huge amounts of RFID data generated and stored along a supply chain. © Springer International Publishing 2013.