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EPC Graph Information Service

Enhanced Object Traceability on Unified and Linked EPCIS Events

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Web Information Systems Engineering – WISE 2015 (WISE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9418))

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Abstract

Object traceability based on Radio Frequency IDentification (RFID), an important capability of the Internet of Things (IoT), has improved our quality of life (e.g. anti-counterfeit). GS1 EPCglobal, a de facto standard in RFID technology, develops EPC Information Service (EPCIS) in order to capture and share standardized events representing various aspects on tag-attached object. However, the current standard is detrimental to the connection of the facts on RFID events, thus yielding query inefficiency, especially for object trace. Also, even the problem becomes worse when the event repositories are distributed. In this paper, we propose the graph-based platform for enhanced object traceability over unified and linked EPCIS events, EPC Graph Information Service. The main contributions of the paper are as follows. Firstly, we propose the graph model on standard EPCIS document called EPC Graph Model, which would be an efficient approach for connecting RFID events in a unified manner. Secondly, we propose the library for the distributed services called EPC Graph Crawler based on fundamental REST APIs for utilizing EPC Graph. By using the library, application developers are able to utilize distributed EPC Graphs as if all the graphs are managed in a centralized platform.

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Acknowledgement

This research was supported by the ICT R&D program of MSIP/IITP [R-20150223-000170(R0126-15-1002), Development of agro-livestock cloud and application service for balanced production, transparent distribution and safe consumption based on GS1] and also supported by the KUSTAR- KAIST Institute, Korea, under the R&D program supervised by the KAIST.

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Authors and Affiliations

  1. Department of Computer Science, KAIST, Daejeon, South Korea

    Jaewook Byun & Daeyoung Kim

Authors
  1. Jaewook Byun
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  2. Daeyoung Kim
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Corresponding author

Correspondence to Daeyoung Kim .

Editor information

Editors and Affiliations

  1. Tsinghua University, Bijing, China

    Jianyong Wang

  2. Poznan University of Economics, Poznan, Poland

    Wojciech Cellary

  3. Florida Atlantic University, Boca Raton, Florida, USA

    Dingding Wang

  4. Victoria University, Melbourne, Australia

    Hua Wang

  5. School of Computing & Information, Florida International University, Miami, Florida, USA

    Shu-Ching Chen

  6. Florida International University, Miami, Florida, USA

    Tao Li

  7. Victoria University, Melbourne, Victoria, Australia

    Yanchun Zhang

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© 2015 Springer International Publishing Switzerland

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Byun, J., Kim, D. (2015). EPC Graph Information Service. In: Wang, J., et al. Web Information Systems Engineering – WISE 2015. WISE 2015. Lecture Notes in Computer Science(), vol 9418. Springer, Cham. https://doi.org/10.1007/978-3-319-26190-4_16

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  • DOI: https://doi.org/10.1007/978-3-319-26190-4_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26189-8

  • Online ISBN: 978-3-319-26190-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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