Modelling and linking transformations in EPCIS governing supply chain business processes

Monika Solanki, Christopher Brewster

Research output: Chapter in Book/Published conference outputChapter (peer-reviewed)peer-review


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.
Original languageEnglish
Title of host publicationE-commerce and web technologies
Subtitle of host publication15th International Conference, EC-Web 2014, Munich, Germany, September 1-4, 2014. Proceedings
EditorsMartin Hepp, Yigal Hoffner
Place of PublicationChem (CH)
Number of pages12
ISBN (Electronic)978-3-319-10491-1
ISBN (Print)978-3-319-10490-4
Publication statusPublished - 1 Sept 2014
Event15th International Conference - Munich, Germany
Duration: 1 Sept 20144 Sept 2014

Publication series

NameLecture Notes in Business Information Processing
ISSN (Print)1865-1348


Conference15th International Conference
Abbreviated titleEC-Web 2014


  • supply chains
  • transformation events
  • ontologies
  • semantic web
  • linked data


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