促进农业和营养数据语义学使用的39个提示
39 Hints to Facilitate the Use of Semantics for Data on Agriculture and Nutrition
摘要：
在本文中，我们报告的成果和采用的研究数据联盟（RDA）的Agrisemantics工作组，包括一组建议，以促进采用语义技术和方法的目的，在农业和营养领域的数据互操作性。从2016年到2019年，该小组聚集了信息技术和农业科学交叉点的研究人员和实践者，研究语义资源生活周期〈动〉<动>的各个方面：概念化，编辑，共享，标准化，服务，对齐，长期支持。首先，工作组实现了一个景观研究，语义在农产品中的使用研究，然后收集了利用语义资源的用例，语义资源是一个通用术语，包括词汇表，术语，词库，本体。由此产生的需求被合成为39个“提示”，供语义资源的用户和开发人员以及语义资源服务的提供者使用。我们相信，采纳这些建议将使农业食品科学进入一个必要的过渡阶段，以利用数据生产、共享和再利用，并采用FAIR数据原则。本文包括采用这些要求的例子，并讨论了它们对数据科学领域的贡献。
英文摘要：
In this paper, we report on the outputs and adoption of the Agrisemantics Working Group of the Research Data Alliance (RDA), consisting of a set of recommendations to facilitate the adoption of semantic technologies and methods for the purpose of data interoperability in the field of agriculture and nutrition. From 2016 to 2019, the group gathered researchers and practitioners at the crossing point between information technology and agricultural science, to study all aspects in the life cycle of semantic resources: conceptualization, edition, sharing, standardization, services, alignment, long term support. First, the working group realized a landscape study, a study of the uses of semantics in agrifood, then collected use cases for the exploitation of semantics resources-a generic term to encompass vocabularies, terminologies, thesauri, ontologies. The resulting requirements were synthesized into 39 "hints" for users and developers of semantic resources, and providers of semantic resource services. We believe adopting these recommendations will engage agrifood sciences in a necessary transition to leverage data production, sharing and reuse and the adoption of the FAIR data principles. The paper includes examples of adoption of those requirements, and a discussion of their contribution to the field of data science.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
