OBO Foundry 食品本体互联互通

IF 3 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Semantic Web Pub Date : 2024-01-16 DOI:10.3233/sw-233458

Damion M. Dooley, Liliana Andrés-Hernández, Georgeta Bordea, Leigh Carmody, D. Cavalieri, L. Chan, Pol Castellano-Escuder, C. Lachat, Fleur Mougin, F. Vitali, Chen Yang, Magalie Weber, Matthew Lange

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引用次数: 4

摘要

自2016年创建以来，FoodOn食品本体已成为横跨农业和公共卫生领域的各种学术和政府项目中相互关联的合作伙伴。本文探讨了属于百科全书式的开放生物和生物医学本体论基金会（OBO）本体论平台或与之兼容的食品相关本体论最近产生的数据互操作性能力，以及研究机构和行业如何将它们用于自己的项目或数据交换。各种项目都在寻求食品供应活动的标准化词汇，包括农业生产、收获、准备、食品加工、销售、分销和消费，以及更间接的健康、经济、食品安全和可持续性分析和报告工具。要满足对受控词汇的这一需求，就需要建立特定领域的本体论，其策展人应密切协调，为粮食系统词汇提供推荐模式。

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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OBO Foundry Food Ontology Interconnectivity

Since its creation in 2016, the FoodOn food ontology has become an interconnected partner in various academic and government projects that span agricultural and public health domains. This paper examines recent data interoperability capabilities arising from food-related ontologies belonging to, or compatible with, the encyclopedic Open Biological and Biomedical Ontology Foundry (OBO) ontology platform, and how research organizations and industry might utilize them for their own projects or for data exchange. Projects are seeking standardized vocabulary across many food supply activities ranging from agricultural production, harvesting, preparation, food processing, marketing, distribution and consumption, as well as more indirect health, economic, food security and sustainability analysis and reporting tools. To satisfy this demand for controlled vocabulary requires establishing domain specific ontologies whose curators coordinate closely to produce recommended patterns for food system vocabulary.

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来源期刊

Semantic Web COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

8.30

自引率

6.70%

发文量

期刊介绍： The journal Semantic Web – Interoperability, Usability, Applicability brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas. We especially welcome papers which add a social, spatial, and temporal dimension to Semantic Web research, as well as application-oriented papers making use of formal semantics.