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.

Caracciolo, C., Aubin, S., Jonquet, C., Amdouni, E., David, R., Garcia, L., et al. (2020). 39 hints to facilitate the use of semantics for data on agriculture and nutrition. DATA SCIENCE JOURNAL, 19(1), 1-12 [10.5334/DSJ-2020-047].

39 hints to facilitate the use of semantics for data on agriculture and nutrition

Stellato A.;
2020-01-01

Abstract

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
Pubblicato
Rilevanza internazionale
Articolo
Comitato scientifico
Settore ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
Settore INF/01 - INFORMATICA
English
Agrifood data
FAIR data
Ontology
Ontology repository
Semantic resources
Semantics
Terminology
Terminology service
Thesauri
Vocabulary
https://datascience.codata.org/articles/10.5334/dsj-2020-047/
Caracciolo, C., Aubin, S., Jonquet, C., Amdouni, E., David, R., Garcia, L., et al. (2020). 39 hints to facilitate the use of semantics for data on agriculture and nutrition. DATA SCIENCE JOURNAL, 19(1), 1-12 [10.5334/DSJ-2020-047].
Caracciolo, C; Aubin, S; Jonquet, C; Amdouni, E; David, R; Garcia, L; Whitehead, B; Roussey, C; Stellato, A; Villa, F
Articolo su rivista
File in questo prodotto:
File Dimensione Formato  
1225-8707-1-PB.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 1.74 MB
Formato Adobe PDF
1.74 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/295293
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? ND
social impact