SCORVoc: Vocabulary-Based Information Integration and Exchange in Supply Networks

Abstract : Advanced, highly specialized economies require instant, robust and efficient information flows within its value-added and Supply Chain networks. Especially also in the context of the recent Industry 4.0, smart manufacturing or cyber-physical systems initiatives more efficient and effective information exchange in supply networks is of paramount importance. The Supply Chain Operation Reference (SCOR) is a cross-industry approach to lay the groundwork for this goal by defining a conceptual model for Supply Chain related information. Semantics-based approaches could facilitate information flows in supply networks, and enable to analyze, monitor and optimize Supply Chains (in particular for robustness). This paper first reviews existing formalizations of the Supply Chain Council's SCOR standard. It then introduces the SCORVoc RDFS vocabulary which fully formalizes the latest SCOR standard, while over-coming the identified limitations of existing work. SCORVoc is operationalized by a set of SPARQL queries, that enable to evaluate metrics and key performance indicator (KPIs) defined by SCOR, on-the-fly, in an information systems that adheres to the vocabulary. Finally, we define concrete test scenarios and implement a synthetic benchmark to demonstrate the practicality of SCORVoc.
Type de document :
Communication dans un congrès
David Newman, Philip Sheu, Mei-Ling Shyu, Tao Li, Ansgar Scherp, David Ostrowski, Wei Wang. 10th IEEE International Conference on Semantic Computing, ICSC 2016, Feb 2016, Laguna Hills, United States. IEEE Computer Society pp 132-139, 2016, Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016. 〈10.1109/ICSC.2016.25〉
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https://hal-emse.ccsd.cnrs.fr/emse-01438831
Contributeur : Florent Breuil <>
Soumis le : mercredi 18 janvier 2017 - 10:37:04
Dernière modification le : dimanche 15 octobre 2017 - 22:44:06

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Niklas Petersen, Irlán Grangel-González, Gökhan Coskun, Sören Auer, Marvin Frommhold, et al.. SCORVoc: Vocabulary-Based Information Integration and Exchange in Supply Networks. David Newman, Philip Sheu, Mei-Ling Shyu, Tao Li, Ansgar Scherp, David Ostrowski, Wei Wang. 10th IEEE International Conference on Semantic Computing, ICSC 2016, Feb 2016, Laguna Hills, United States. IEEE Computer Society pp 132-139, 2016, Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016. 〈10.1109/ICSC.2016.25〉. 〈emse-01438831〉

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