Modelling and Linking Transformations in EPCIS Governing Supply Chain Business Processes

  • Monika Solanki
  • Christopher Brewster
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 188)

Abstract

Supply chains comprise of complex processes spanning across multiple trading partners. The various operations involved generate large number of events that need to be integrated in order to enable internal and external traceability. Further, provenance of artifacts and agents involved in the supply chain operations is now a key traceability requirement. In this paper we propose a Semantic web/Linked data powered framework for the event based representation and analysis of supply chain activities governed by the EPCIS specification. We specifically show how a new EPCIS event type called “Transformation Event” can be semantically annotated using EEM - The EPCIS Event Model to generate linked data, that can be exploited for internal event based traceability in supply chains involving transformation of products. For integrating provenance with traceability, we propose a mapping from EEM to PROV-O. We exemplify our approach on an abstraction of the production processes that are part of the wine supply chain.

Keywords

Supply chains EPCIS Transformation events ontologies Semantic Web Linked data 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Monika Solanki
    • 1
  • Christopher Brewster
    • 1
  1. 1.Aston Business SchoolAston UniversityUK

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