Abstract
This paper proposes a logistics ontology based on both the theory of organizational ontology and the consistent methodology of semantic data modeling applied towards the supply chain operations reference model. Codification of the proposed ontology is aimed to facilitate meta-data and data integration of autonomous parties of supply networks. Using a simulated business case, we exemplify the use of the created ontology for knowledge integration in a supply network.
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Notes
- 1.
OASIS: https://www.oasis-open.org/.
- 2.
UN/CEFACT: http://www.unece.org/CEFACT/.
- 3.
GS1: http://www.gs1.org/.
- 4.
Real-world semantics is the nature and structure of real world entities that define the meaning of ontological concepts and relations between them.
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Foundational ontologies are theoretically well-founded domain independent systems of categories, which form a general foundation for domain-specific ontologies.
- 6.
Jena Ontology API: http://jena.apache.org/documentation/ontology/.
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Acknowledgments
This research is partially supported by LATNA Laboratory, NRU HSE, RF government grant 11.G34.31.0057, and by the CLASSE (“Les Corridors Logistiques: Application a la Vallee de la Seine et son Environnement”) project of the Grand Research Network of in Upper Normandy (Grand Réseaux de Recherche de Haute-Normandie).
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Andreeva, E., Poletaeva, T., Abdulrab, H., Babkin, E. (2015). One Solution for Semantic Data Integration in Logistics. In: Barjis, J., Pergl, R., Babkin, E. (eds) Enterprise and Organizational Modeling and Simulation. EOMAS 2015. Lecture Notes in Business Information Processing, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-319-24626-0_6
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DOI: https://doi.org/10.1007/978-3-319-24626-0_6
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