Title: Creating a RFID data integration framework for enterprise information systems

Authors: Xiaoyong Su, Chi-Cheng Chu, B.S. Prabhu, Rajit Gadh

Addresses: UCLA-WINMEC, RFID Lab, University of California, 420 Westwood Plaza, UCLA, Los Angeles, CA 90095, USA. ' UCLA-WINMEC, RFID Lab, University of California, 420 Westwood Plaza, UCLA, Los Angeles, CA 90095, USA. ' UCLA-WINMEC, RFID Lab, University of California, 420 Westwood Plaza, UCLA, Los Angeles, CA 90095, USA. ' UCLA-WINMEC, RFID Lab, University of California, 420 Westwood Plaza, UCLA, Los Angeles, CA 90095, USA

Abstract: High volume, high speed, and heterogeneous inbound and outbound data format are characteristics of RFID-based automatic identification data capture infrastructure. Due to these characteristics, integrating and utilising RFID data in enterprise information systems is challenging. A |store and forward| and rule-based subscription integration methodology is proposed in this paper. Application Level Event (ALE) integration is analysed and compared with the proposed approach. We conclude that the proposed approach is an effective way to process RFID data in a heterogeneous enterprise application environment. Technical limitations of the proposed approach are presented and analysed.

Keywords: RFID; AIDC; ALE; WINRFID; enterprise information systems; rule based systems; data integration; radio frequency identification; automatic identification; data capture; application level event.

DOI: 10.1504/IJIPT.2009.029271

International Journal of Internet Protocol Technology, 2009 Vol.4 No.4, pp.221 - 231

Published online: 17 Nov 2009 *

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