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ArticleAGROVOC: The linked data concept hub for food and agriculture 2022
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No results found.Newly acquired, aggregated and shared data are essential for innovation in food and agriculture to improve the discoverability of research. Since the early 1980′s, the Food and Agriculture Organization of the United Nations (FAO) has coordinated AGROVOC, a valuable tool for data to be classified homogeneously, facilitating interoperability and reuse. AGROVOC is a multilingual and controlled vocabulary designed to cover concepts and terminology under FAO's areas of interest. It is the largest Linked Open Data set about agriculture available for public use and its highest impact is through facilitating the access and visibility of data across domains and languages. This chapter has the aim of describing the current status of one of the most popular thesaurus in all FAO’s areas of interest, and how it has become the Linked Data Concept Hub for food and agriculture, through new procedures put in place. -
Book (stand-alone)The AGROVOC Editorial Guidelines 2022
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No results found.The first edition of The AGROVOC Editorial Guidelines 2020 (FAO, 2020) was published to share clear, concise and agreed guidelines to guarantee consistency and coherence on selection of concepts and terms. Focus areas included whether to use the singular or plural in each language, how to deal with proper names, scientific names, and geographical names, etc. In 2021, an AGROVOC Editorial Guidelines task force, with members from Empresa Brasileira de Pesquisa Agropecuária, Kuratorium für Technik und Bauwesen in der Landwirtschaft e.V. and FAO, continued to deepen editorial discussions, which resulted in the second edition of The AGROVOC Editorial Guidelines 2020. In this second edition, additional guidance has been added on scientific names, spelling, definitions and more. This guide is a set of editorial recommendations for adding content to AGROVOC, with a strong focus on multilingual aspects. The guidelines also apply to sub-vocabularies in AGROVOC. -
BookletAGROVOC 1: Data sharing, interoperability and knowledge organization systems 2023
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No results found.In this publication the principles and benefits of data sharing and interoperability have been introduced. The FAIR principles have been highlighted, with their context in data sharing frameworks. Openness in the context of data has been explained. Different types of vocabularies have been noted, along with the role of Knowledge Organization Systems (KOS) in the data management and sharing framework. To be useful, data need to be open and interoperable. The Open Data Scheme and the FAIR principles describe the level of “openness” of vocabularies. Different types of vocabularies exist, which differ by their level of expressiveness. The Resource Description Framework (RDF) model uses triples of subject – predicate – object to build a vocabulary. AGROVOC is a KOS based on RDF.
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