Smart organisation of knowledge and data: A linked-data approach for GS1

Research output: Book/ReportReportProfessional

Abstract

GS1 is supporting international trade by contributing to the standardisation and exchange of product information. In this role, GS1 offer a data pool service, and develop and maintain its underlying models, standards and associated knowledge. Managing all this information is challenging, even more so given the current growth in data being generated, exchanged and used. Specific challenges for GS1 are to achieve high interoperability with external information systems, and to maintain coherence between various pieces of information, especially when executing changes. This project has aimed to investigate if and how semantic technologies can benefit GS1. Specific challenges in the organisation of information were analysed by a combined team of people from GS1 and WFBR, often based on a selection of representative examples. As a proof of principle, small scale implementations were made for each solution, and demonstrated in practice with the help of a custom made software application. The project has shown that semantic technologies can be helpful to overcome several challenges that GS1 is currently facing. On a small scale it was demonstrated how semantic technologies can be applied to create a coherent knowledge graph in which several key pieces of information are linked together. Improved coherence of such information is likely to have a positive impact on the quality and efficiency of the services that GS1 offers. Additionally, semantic technologies provide benefits for interoperability of data, and machine interpretation of data (hence automated data processing). In the long term, the implications of this are potentially game changing for GS1, with consequences for supply chain data infrastructure and benefits for data quality. For the near future, steps are proposed to integrate this technology on a small scale within the processes of GS1, and gradually extend the use (and value) inside and outside of GS1.
Original languageEnglish
Place of PublicationWageningen
PublisherWageningen Food & Biobased Research
Number of pages34
DOIs
Publication statusPublished - 2022

Publication series

NameRapport / Wageningen Wageningen Food & Biobased Research
No.2245

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