Ontologies relevant for improving data interoperability for food loss and waste: A review and research agenda

IF 5.3 Q2 ENVIRONMENTAL SCIENCES
Matthew C. Lange , Ran Li , John W. Apolzan , Patrick R. Huber , Emily Steliotes , Kai Robertson , Norbert L.W. Wilson , Karthik Jain , Rajiv Ramnath , Brian E. Roe , Edward S. Spang
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引用次数: 0

Abstract

Food loss and waste (FLW) is a global challenge. Interoperable FLW ontologies will foster more comprehensive data sharing and inform better solutions to reduce and recover excess food and to valorize wasted food and food byproducts. This review reveals that only eight ontologies currently address FLW with most emphasizing valorization. Notably, few are designed explicitly to support FLW reduction, and none facilitate food recovery, which is critical given that reduction and recovery are the preferred means of mitigating FLW. Furthermore, existing FLW ontologies show limited alignment with recognized gold-standard frameworks, for example the Open Biological and Biomedical Ontology (OBO) Foundry, and none support ongoing connectivity to external ontologies, restricting their utility across stakeholder domains. Looking ahead, there is a pressing need to create or expand ontologies that adhere to best practices from relevant foundries to ensure robust linkage and interoperability and undergird structured data ecosystems that support food systems stakeholders in FLW prevention and mitigation. Achieving this goal will require active collaboration among a diverse range of stakeholders, including builders of food systems cyberinfrastructure, scientists, innovators, regulators, public and private funders, community-based organizations, policymakers, and international NGOs as each rely on critical ontological elements to inform decision-making, measure impact, and drive improvement across the food supply chain. Finally, large language models offer promising capabilities for expediting ontology creation, broadening inclusivity in ontology creation, and enhancing the accuracy of resulting data infrastructures.
与改善粮食损失和浪费数据互操作性相关的本体:审查和研究议程
粮食损失和浪费(FLW)是一个全球性挑战。可互操作的FLW本体将促进更全面的数据共享,并提供更好的解决方案,以减少和回收多余的食物,并对浪费的食物和食物副产品进行评估。这篇综述表明,目前只有8个本体处理FLW,其中最强调的是价值化。值得注意的是,很少有人明确设计支持减少粮食流失量,也没有人促进食物回收,这一点至关重要,因为减少和回收是减轻粮食流失量的首选手段。此外,现有的FLW本体与公认的金标准框架(例如开放生物和生物医学本体(OBO) Foundry)的一致性有限,并且没有一个支持与外部本体的持续连接,限制了它们在涉众领域的效用。展望未来,迫切需要创建或扩展符合相关代工厂最佳实践的本体,以确保强大的联系和互操作性,并构建结构化数据生态系统,支持食品系统利益相关者预防和缓解FLW。实现这一目标需要不同利益相关者之间的积极合作,包括食品系统网络基础设施的建设者、科学家、创新者、监管机构、公共和私人资助者、社区组织、政策制定者和国际非政府组织,因为每个利益相关者都依赖关键的本体论要素来为决策提供信息、衡量影响并推动整个食品供应链的改进。最后,大型语言模型为加速本体创建、扩大本体创建的包容性和提高结果数据基础设施的准确性提供了有前途的功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cleaner and Responsible Consumption
Cleaner and Responsible Consumption Social Sciences-Social Sciences (miscellaneous)
CiteScore
4.70
自引率
0.00%
发文量
40
审稿时长
99 days
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