39 Hints to Facilitate the Use of Semantics for Data on Agriculture and Nutrition

Autor: Romain David, Armando Stellato, Caterina Caracciolo, Clement Jonquet, Brandon Whitehead, Sophie Aubin, Catherine Roussey, Emna Amdouni, Ferdinando Villa, Leyla Garcia
Přispěvatelé: Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), Direction pour la Science Ouverte (DipSO), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), WEB-CUBE, Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Information Centre for Life Sciences (ZB MED), Manaaki Whenua – Landcare Research [Lincoln], Technologies et systèmes d'information pour les agrosystèmes (UR TSCF), Università degli Studi di Roma Tor Vergata [Roma], Basque Centre for Climate Change (BC3), The Agrisemantics Working Group thanks RDA and RDA Europe for their support.Caterina Caracciolo was supported by the Bill and Melinda Gates Foundation, the Food and Agriculture Organization of the UN and the RDA Europe Ambassador Programme. The views expressed in this publication are those of the author and do not necessarily reflect the views or policies of the Food and Agriculture Organization of the United Nations, nor those of the other funding bodies.Brandon Whitehead acknowledges with thanks the support of the CABI Development Fund. CABI is an international intergovernmental organization and we gratefully acknowledge the core financial support from our member countries (and lead agencies) including the United Kingdom (Department for International Development), China (Chinese Ministry of Agriculture), Australia (Australian Center for International Agricultural Research), Canada (Agriculture and Agri-Food Canada), Netherlands (Directorate-General for International Cooperation), and Switzerland (Swiss Agency for Development and Cooperation). See https://www.cabi.org/about-cabi/who-we-work-with/key-donors/ for details.Sophie Aubin, Clement Jonquet, Emna Amdouni, Romain David and Catherine Roussey were supported, in part, by the French National Research Agency (ANR) Data to Knowledge in Agronomy and Biodiversity (D2KAB – www.d2kab.org – ANR-18-CE23-0017). Romain David was partly supported by the EPPN2020 project (H2020 grant N°731013), the EOSC-Life european program (grant agreement N°824087), the ‘Infrastructure Biologie Sante’ PHENOME-EMPHASIS project funded by the French National Research Agency (ANR-11-INBS-0012) and the ‘Programme d’Investissements d’Avenir’.This manuscript publication is supported by the RDA Europe 4.0 project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 777388., ANR-18-CE23-0017,D2KAB,Des Données aux Connaissances en Agronomie et Biodiversité(2018), ANR-11-INBS-0012,PHENOME,Centre français de phénomique végétale(2011), ANR-19-DATA-0019,FooSIN,Participation française au GO FAIR Food Systems Implementation Network(2019), European Project: 824087,EOSC-Life, European Project: 777388,RDA Europe 4.0, European Commission, WEB Architecture x Semantic WEB x WEB of Data (WEB3), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
FOS: Computer and information sciences
Knowledge management
Standardization
Settore ING-INF/05
Computer science
Reuse
Field (computer science)
0302 clinical medicine
Working groups
terminology
Computer Science (miscellaneous)
Data interoperability
Use case
ontology
semantics
2. Zero hunger
0303 health sciences
Conceptualization
Data production
Databases (cs.DB)
Agriculture
Agricultural robots
Other Quantitative Biology (q-bio.OT)
Quantitative Biology - Other Quantitative Biology
Computer Science Applications
Semantics
Settore INF/01
Agricultural science
terminology service
ontology repository
Life cycle
agrifood data
FAIR data
semantic resources
vocabulary
thesauri
Semantic technologies
Semantic resources
03 medical and health sciences
[SDV.EE.ECO]Life Sciences [q-bio]/Ecology
environment/Ecosystems
Computer Science - Databases
lcsh:Science (General)
Semantic web
agricultural data
Crossing point
030304 developmental biology
Nutrition
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]
business.industry
Data Science
Information technology
[SDE.ES]Environmental Sciences/Environmental and Society
Research data
FOS: Biological sciences
Semantic technology
[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]
[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
business
030217 neurology & neurosurgery
lcsh:Q1-390
Zdroj: CODATA Data Science Journal
CODATA Data Science Journal, Committee on Data for Science and Technology (CODATA), 2020, 19 (1), ⟨10.5334/dsj-2020-047⟩
Addi. Archivo Digital para la Docencia y la Investigación
instname
CODATA Data Science Journal, 2020, 19 (1), ⟨10.5334/dsj-2020-047⟩
Data Science Journal, Vol 19, Iss 1 (2020)
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Data Science Journal
Data Science Journal; Vol 19 (2020); 47
ISSN: 1683-1470
DOI: 10.5334/dsj-2020-047⟩
Popis: 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. © 2020 The Author(s). Brandon Whitehead acknowledges with thanks the support of the CABI Development Fund. CABI is an international intergovernmental organization and we gratefully acknowledge the core financial support from our member countries (and lead agencies) including the United Kingdom (Department for International Development), China (Chinese Ministry of Agriculture), Australia (Australian Center for International Agricultural Research), Canada (Agriculture and Agri-Food Canada), Netherlands (Directorate-General for International Cooperation), and Switzerland (Swiss Agency for Development and Cooperation). See https:// www.cabi.org/about-cabi/who-we-work-with/key-donors/ for details. Sophie Aubin, Clement Jonquet, Emna Amdouni, Romain David and Catherine Roussey were supported, in part, by the French National Research Agency (ANR) Data to Knowledge in Agronomy and Biodiversity (D2KAB – www.d2kab.org – ANR-18-CE23-0017). Romain David was partly supported by the EPPN2020 project (H2020 grant N°731013), the EOSC-Life european program (grant agreement N°824087), the ‘Infrastructure Biologie Sante’ PHENOME-EMPHASIS project funded by the French National Research Agency (ANR-11-INBS-0012) and the ‘Programme d’Investissements d’Avenir’.
Databáze: OpenAIRE
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