Volume 7 Number 4 (Apr. 2012)
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JSW 2012 Vol.7(4): 835-843 ISSN: 1796-217X
doi: 10.4304/jsw.7.4.835-843

A Novel Method for Modeling RFID Data

Kun Bai1, Shaoxi Li1, Tao Liu1, and Jing Tian2
1Dalian Maritime University, Dalian, China
2Liaoning Police Academy, Dalian, China

Abstract—The applications of Radio Frequency Identification (RFID) and Electronic Product Code (EPC) in supply chain management have vast potential in improving effectiveness and efficiencies in solving supply chain problems. RFID data, however, have their own unique characteristics – including aggregation, location, temporal and history-oriented – which have to be fully considered and integrated into the RFID data model which is constructed for RFID application system. In this paper, we use an expressive temporal data model for RFID data. This data model is based on Entity-Relation (ER) model with minimum extension and highlights the state history and temporal semantics of the RFID system business processes. We also show common RFID data tracking and monitoring types, and propose methods to express such queries based on this data model.

Index Terms—RFID, EPC, data model, semantics


Cite: Kun Bai, Shaoxi Li, Tao Liu, and Jing Tian "A Novel Method for Modeling RFID Data," Journal of Software vol. 7, no. 4, pp. 835-843, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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