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Logistics Ontologies Landscape: Challenges, Gaps, and Opportunities for Improved Representation
RISE Research Institutes of Sweden, Digital Systems, Industrial Systems.ORCID iD: 0000-0002-5618-9776
2023 (English)Report (Other academic)
Abstract [en]

Data standards are essential for coordinating logistics information across diverse stakeholders. This report explores the role of ontologies in shaping logistics data structures and enhancing interoperability. By assessing current logistics ontologies, it identifies challenges and gaps in data representation, aiming to describe the current state of logistics data standards.
Place, publisher, year, edition, pages
2023. , p. 5
Keywords [en]
Logistics, Ontology, Supply Chain, Warehousing
National Category
Transport Systems and Logistics Computer Sciences
Identifiers
URN: urn:nbn:se:ri:diva-66699OAI: oai:DiVA.org:ri-66699DiVA, id: diva2:1794242
Funder
Vinnova, 2021-03653
Note

Funding: Vinnova 2021-03653.

Available from: 2023-09-05 Created: 2023-09-05 Last updated: 2023-11-28Bibliographically approved

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fulltext(373 kB)57 downloads
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Type fulltextMimetype application/pdf

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Gazzotti, Raphaël

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