ontologies
AFEO
Agri-Food Experiment Ontology (AFEO)
OWL
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Last submission date June 9, 2022
Summary
Classes
Properties
Instances
Notes
Mappings
Widgets
Sparql

General information

The Agri-Food Experiment Ontology (AFEO), a new ontology network was developed based on two existing ontology resources, i.e., OAE (Ontology for Agriculture Experiment) and OFPE (Ontology for Food Processing Experiment). See more...
Initial created on May 15, 2022. For additional information, contact Tireau Anne (anne.tireau@inrae.fr).

Languages

Keywords and classes

food processing
foods
experimentation
agricultural practices

Categories and subjects

Agricultural Research, Technology and Engineering
Food and Human Nutrition
C 49913
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FAIR score
Beta

Total score : 293.0 ( 61.0%)
See details

Ontology relations network

Submissions

Metrics

Identifiers

URI

http://www.mistea.supagro.inra.fr/ontologies/2016/v1/afeo
http://www.mistea.supagro.inra.fr/ontologies/2016/v1/afeo

Other identifier

https://doi.org/10.15454/DPBMBW
https://doi.org/10.15454/DPBMBW

Dates

Creation date

May 15, 2022

Submission date

June 9, 2022

Modification date

May 15, 2022

Persons and organizations

Contact

Tireau Anne

Creator

Pascal Neveu
Patrice Buche
Jean-Michel Salmon
Anne Tireau
Aunur-Rofiq Muljarto
Brigitte Charnomordic

Publisher

Agropolymerpolymer Engineering and Emerging Technologies
Sciences pour L’Œnologie
Mathématiques, Informatique et Statistique pour l'Environnement et l'Agronomie

Other links

Projects and usage information

Projects using AFEO

Agrisemantics Map of Data Standards
Vocabulaires Ouverts @INRAE

Known usage

AFEO was used to guide the data integration of two different data sources, i.e., viticulture experimental data stored in a relational database and winemaking experimental data stored in Microsoft Excel files. Two potential uses by researchers of viticulture-winemaking integrated data using AFEO have been shown. The first one is about wine traceability and the second one is related to the influence of grape varieties, irrigation practices, and different winemaking methods on GSH concentration in wine. Those examples show that data integration guided by an ontology network can provide researchers with the information necessary to address extended research questions by viticulture and winemaking processes.

Designed for task (as defined by OMV).

http://omv.ontoware.org/2005/05/ontology#IntegrationTask
http://omv.ontoware.org/2005/05/ontology#IntegrationTask

Subject

http://aims.fao.org/aos/agrovoc/c_37969, http://aims.fao.org/aos/agrovoc/c_3032, http://aims.fao.org/aos/agrovoc/c_2758, http://aims.fao.org/aos/agrovoc/c_49913
http://aims.fao.org/aos/agrovoc/c_37969, http://aims.fao.org/aos/agrovoc/c_3032, http://aims.fao.org/aos/agrovoc/c_2758, http://aims.fao.org/aos/agrovoc/c_49913

Methodology and provenance

Created with

OWL API

Community

Groups

National research institute for agriculture, food and the environment

Content

Preferred namespace URI

http://opensilex.org/vocabulary/2016/v4/ofpe.owl
http://opensilex.org/vocabulary/2016/v4/ofpe.owl

Preferred namespace prefix

afeo

Example of resource

http://www.mistea.supagro.inra.fr/ontologies/2016/v1/afeo#Must
http://www.mistea.supagro.inra.fr/ontologies/2016/v1/afeo#Must

Visits

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