Abstract
Traditional Radio-Frequency IDentification (RFID) applications have been focused on replacing bar codes in supply chain management. Leveraging a ubiquitous computing architecture, the chapter 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, where tagged objects become resources exposing to an RFID reader not a trivial identification code but a semantic annotation, enables tagged objects to describe themselves on the fly 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 the supply chain.
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Notes
- 1.
RDF Primer, W3C Recommendation, February 10th 2004, available at http://www.w3.org/TR/rdf-primer/.
- 2.
OWL Web Ontology Language, W3C Recommendation, February 10th 2004, available at http://www.w3.org/TR/owlfeatures/.
- 3.
SPARQL Query Language for RDF, W3C Recommendation 15 January 2008, http://www.w3.org/TR/rdf-sparql-query/
- 4.
Notice that \(\exists R\) is equivalent to \((\ensuremath{\ge} 1 R)\)
- 5.
We write \((\ensuremath{=} n\ R)\) for \((\ensuremath{\ge} n\ R \ensuremath{\sqcap} \le n\ R)\)
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De Virgilio, R., Di Sciascio, E., Ruta, M., Scioscia, F., Torlone, R. (2011). Semantic-Based RFID Data Management. In: Ranasinghe, D., Sheng, Q., Zeadally, S. (eds) Unique Radio Innovation for the 21st Century. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03462-6_6
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