This repository contains information models and data sets developed by the Engineering Laboratory's Supply Chain Traceability for Agri-Food Manufacturing project and its partners.
A principal deliverable is a machine-readable semantic model of entities and tracking events to enable grain production traceability. This model will provide guidance to supply chain stakeholders in both understanding what data must be collected for traceability and in identifying gaps in relevant standards. Increasing traceability of grain products reduces risk for producers and enables safer food and feed by allowing rapid determination of the source and the scope of contaminated material. This in turn increases trust and safety in the agri-food supply chain.
Another class of deliverable of this project are synthetic data sets generated by simulation. These simulate information about traceability events in grain supply chains that can be used to test and evaluate the completeness and utility of traceability models and applications (such as for visualization).
The publications below provide some background information:
- Evan K. Wallace. Towards a Reference Ontology for Supply Chain Management.
- Evan K. Wallace, Farhad Ameri, Reid Yoder. Enabling Traceability in Agri-Food Supply Chains Using an Ontological Approach.
- Frank H. Riddick, Evan K. Wallace, Scott Nieman, Joe Tevis, R. A. Ferreyra. Implementing Grain Traceability Standards: CART and Simulation.
The repository has two types of assets:
- Synthetic Traceability Data (Pending)
- Semantic Models for Grain Traceability (models)
- Upper Ontology Extension
- Modular Ontology Refinement
Evan A. Wallace (NIST) - POC
Frank H. Riddick (NIST)
Joshua Lubell (NIST)
Contents of this repository were developed by National Institute of Standards and Technology along with various partners. Refer to the LICENSE.txt or LICENSE.md file in the subdirectory for each set of content for the contributors and terms of use for that content.
This GitHub repository is currently under construction and does not yet contain all of the content generated by the project.