TY - GEN
T1 - A knowledge driven approach towards the validation of externally acquired traceability datasets in supply chain business processes
AU - Solanki, Monika
AU - Brewster, Christopher
PY - 2014/12/31
Y1 - 2014/12/31
N2 - The sharing of near real-time traceability knowledge in supply chains plays a central role in coordinating business operations and is a key driver for their success. However before traceability datasets received from external partners can be integrated with datasets generated internally within an organisation, they need to be validated against information recorded for the physical goods received as well as against bespoke rules defined to ensure uniformity, consistency and completeness within the supply chain. In this paper, we present a knowledge driven framework for the runtime validation of critical constraints on incoming traceability datasets encapuslated as EPCIS event-based linked pedigrees. Our constraints are defined using SPARQL queries and SPIN rules. We present a novel validation architecture based on the integration of Apache Storm framework for real time, distributed computation with popular Semantic Web/Linked data libraries and exemplify our methodology on an abstraction of the pharmaceutical supply chain.
AB - The sharing of near real-time traceability knowledge in supply chains plays a central role in coordinating business operations and is a key driver for their success. However before traceability datasets received from external partners can be integrated with datasets generated internally within an organisation, they need to be validated against information recorded for the physical goods received as well as against bespoke rules defined to ensure uniformity, consistency and completeness within the supply chain. In this paper, we present a knowledge driven framework for the runtime validation of critical constraints on incoming traceability datasets encapuslated as EPCIS event-based linked pedigrees. Our constraints are defined using SPARQL queries and SPIN rules. We present a novel validation architecture based on the integration of Apache Storm framework for real time, distributed computation with popular Semantic Web/Linked data libraries and exemplify our methodology on an abstraction of the pharmaceutical supply chain.
UR - http://www.scopus.com/inward/record.url?scp=84914163721&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-13704-9_38
DO - 10.1007/978-3-319-13704-9_38
M3 - Conference publication
AN - SCOPUS:84914163721
SN - 978-3-319-13703-2
T3 - Lecture notes in computer science
SP - 503
EP - 518
BT - Knowledge Engineering and Knowledge Management
A2 - Janowicz, Krzysztof
A2 - Schlobach, Stefan
A2 - Lambrix, Patrick
A2 - Hyvönen, Eero
PB - Springer
CY - Chem (CH)
T2 - 19th international conference on Knowledge Engineering and Knowledge Management
Y2 - 24 November 2014 through 28 November 2014
ER -