EPCIS Event-Based traceability in pharmaceutical supply chains via automated generation of linked pedigrees

Monika Solanki*, Christopher Brewster

*Corresponding author for this work

Research output: Chapter in Book/Published conference outputConference publication

Abstract

In this paper we show how event processing over semantically annotated streams of events can be exploited, for implementing tracing and tracking of products in supply chains through the automated generation of linked pedigrees. In our abstraction, events are encoded as spatially and temporally oriented named graphs, while linked pedigrees as RDF datasets are their specific compositions. We propose an algorithm that operates over streams of RDF annotated EPCIS events to generate linked pedigrees. We exemplify our approach using the pharmaceuticals supply chain and show how counterfeit detection is an implicit part of our pedigree generation. Our evaluation results show that for fast moving supply chains, smaller window sizes on event streams provide significantly higher efficiency in the generation of pedigrees as well as enable early counterfeit detection.

Original languageEnglish
Title of host publicationThe Semantic Web – ISWC 2014
Subtitle of host publication13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014, proceedings, part I
EditorsPeter Mika, Tania Tudorache, Abraham Bernstein, Chris Welty, et al
Place of PublicationChem (CH)
PublisherSpringer
Pages82-97
Number of pages16
ISBN (Electronic)978-3-319-11964-9
ISBN (Print)978-3-319-11963-2
DOIs
Publication statusPublished - 31 Dec 2014
Event13th International Semantic Web Conference - Riva del Garda, Italy
Duration: 19 Oct 201423 Oct 2014

Publication series

NameLecture notes in computer science
PublisherSpringer
Volume8796
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Semantic Web Conference
Abbreviated titleISWC 2014
CountryItaly
CityRiva del Garda
Period19/10/1423/10/14

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