AGROVOC is a controlled vocabulary covering all areas of interest to FAO, including food, nutrition, agriculture, fisheries, forestry, environment etc.
To date, AGROVOC contains over 30,000 concepts organized in a hierarchy, each concept may have labels in up to 22 languages: Arabic, Chinese, Czech, English, French, German, Hindi, Hungarian, Italian, Japanese, Korean, Lao, Persian, Polish, Portuguese, Russian, Slovak, Spanish, Thai, Turkish. Four more language versions are under development (Malaysian, Moldavian, Telugu, Ukrainian)
AGROVOC is formalized as a RDF/SKOS-XL linked dataset, accessible thorugh a SPARQL endpoint, and it is also available for download in various formats. You can also include AGROVOC in your specific application through web services, and search or browse AGROVOC through this website.
AGROVOC is maintained by means of VocBench, an open-source web-based platform supporting distributed editing of multilingual resources.
- Browse AGROVOC through the Sandbox version of VocBench (login/password: AGROVOC/AGROVOC)
- Explore search terms or browse hierarchies
- Download or access via web services
- Suggest new terms not present yet
New version of AgriDrupal based on Drupal 7 released!
A new version of AgriDrupal has been released based on Drupal 7 with the following new features:
- Basic RDF (Resource Description Framework) store, implementing the LODE-BD recommendations for bibliographic resources and FOAF (Friend of a Friend) for experts and organizations
- SPARQL endpoint
- Better implementation of AGROVOC indexing exploiting the relations between descriptors and non-descriptors
Keep an eye on or join the AgriDrupal Group of Interest! More posts on this release with more technical details will be posted there soon. You can also contact the AgriDrupal team at email@example.com
Group of Interest
Community of Practice to discuss the developments of AGROVOC from a classical thesaurus to a concept scheme.
Reorienting open repositories to the challenges of the Semantic Web: Experiences from FAO’s contribution to the resource processing and discovery cycle in repositories in the agricultural domain