The Recommended Network of Semantic Resources for the Food Supply Chain

IntroductionThis document provides guidance for stakeholders in the food supply chain to identify and access relevant semantic resources when integrating a semantic layer into their digital solutions.The recommended semantic resources—forming a network of shared resources for the agricultural and food supply chains—has the potential to create a standardized and interoperable framework that integrates and harmonizes data across stakeholders. PurposeAdopting shared semantic resources enables data integration and interoperability among food supply chain actors—and, ultimately, across all supply chains. This approach ensures that all stakeholders interpret data and its relationships consistently, supporting seamless communication, collaboration, and more efficient decision-making. This is not the final version of this document.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-02
DOI
https://doi.org/10.5281/zenodo.17249681
Primary Topic
Food Supply Chain Traceability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Recommended Network of Semantic Resources for the Food Supply Chain

B. Durand
Zenodo (CERN European Organization for Nuclear Research)
Food Supply Chain Traceability
article

The Recommended Network of Semantic Resources for the Food Supply Chain

B. Durand
article en

Abstract

IntroductionThis document provides guidance for stakeholders in the food supply chain to identify and access relevant semantic resources when integrating a semantic layer into their digital solutions.The recommended semantic resources—forming a network of shared resources for the agricultural and food supply chains—has the potential to create a standardized and interoperable framework that integrates and harmonizes data across stakeholders. PurposeAdopting shared semantic resources enables data integration and interoperability among food supply chain actors—and, ultimately, across all supply chains. This approach ensures that all stakeholders interpret data and its relationships consistently, supporting seamless communication, collaboration, and more efficient decision-making. This is not the final version of this document.

Zenodo (CERN European Organization for Nuclear Research)
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Titan Pharmaceuticals (United States) (US), National Institute of Food and Agriculture (US), L-3 Communications (United States) (US)
Zero hunger
Openalex Percentile: Top 26%
Food Supply Chain Traceability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Recommended Network of Semantic Resources for the Food Supply Chain — B. Durand · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS