Use of the AGROVOC thesaurus as a common vocabulary in CGIAR Core Metadata Schema and Application Profile
"There is … a considerable body of work building ontologies for the food and agriculture domain, which has gone hand in hand with the development of Linked Data (and LOD) in the agri-food domain. The major effort here has been AGROVOC." (ICT-AGRI 2 ICT and robotics for sustainable agriculture, 2018).
AGROVOC : BACKGROUND
The Food and Agriculture Organization (FAO) of the United Nations has maintained the AGROVOC multilingual thesaurus since 1980. Currently, AGROVOC is a collaborative effort, kept up to date by FAO and by an international community of experts and institutions serving as focal points for specific languages or topics in the agriculture and related sectors.
As of June 2018, AGROVOC counts up to 36.000 concepts and 670,000 terms in up to 29 languages. AGROVOC content in FAO languages: English, Russian, French, Spanish, Arabic and Chinese is released under Creative Commons Attribution 3.0 IGO license, while content in other languages rests with the institutions that authorized it.
Since its inception, the use of AGROVOC has been progressively increased and diversified. In particular, the AGROVOC thesaurus is widely used in specialized libraries as well as in digital libraries and repositories to index content and for the purpose of text mining. It is also used as a specialized tagging resource for content organisation by FAO and third-party stakeholders (see: AGROVOC Thesaurus: some use cases). AGROVOC is indexed in FAIRsharing, AgroPortal, BARTOC, Dublin Core KOS Relation Vocabulary, VEST Registry, Research Vocabularies Australia, just to name a few.
AGROVOC releases officially include two specialized concepts schemes: AGROVOC and the Linked Land Governance Thesaurus LandVoc. AGROVOC has been published as an SKOS-XL concept scheme and as a Linked Open Data (LOD) ready to be used in different LOD environments (e.g., Linguistic Linked Open Data) and aligned with a number of other multilingual knowledge organization systems.
Efficient editorial workflow processes to support the ongoing development of AGROVOC subject coverage are ensured by dedicated web services and VocBench2 - a free and open source RDF modelling web environment (see: VocBench 2 Documentation; VocBench: The Data View: Editing SKOS Thesauri). In the near future, AGROVOC will migrate to the powerful ontology editing environment VocBench3 (see: The Data View).
The FAO LOD-enabled Bibliographic Data Recommendations provide guidance on how to produce quality metadata subject access (LODE-BD, 3.5.1. Subject) to bibliographical records by using AGROVOC and other widely used LOD Knowledge Organisation Systems.
Did you know?
The first AGROVOC Editors meeting was held 25-26 June 2018 in Utrecht, The Netherlands, organized by FAO and the LandPortal Foundation. Twenty-five experts gathered for very interesting discussions on AGROVOC. A summary of this meeting will be shared in the near future.
For more information about AGROVOC:
AGROVOC AS A COMMON VOCABULARY IN ...
... CGIAR CORE METADATA SCHEMA AND APPLICATION PROFILE
In order to facilitate CGIAR Research Programs (CRPs) cross-repository searching and enhance discovery of CGIAR information products through Open Access (OA), the CG Core Metadata Schema and Application Profile (AP) was designed. This AP used by CGIAR Research Center and CRP repositories is intended to be the minimum set of elements applicable across CGIAR Centers, data streams, and formats.
Application of the CG Core to Center publication and data repositories and relevant databases enables consistent annotation of final research products, to enable adherence to OA-Open Data under the “FAIR” principles: Findability, Accessibility, Interoperability, and Reusability. CG core also allows meta-searching and indexing across CGIAR repositories and databases and inter-linking across multiple resources.
The CG Core Metadata Schema:
- is closely aligned with Dublin Core, - a generic and widely-adopted metadata schema; and to the Data Documentation Initiative (DDI) by the DDI Alliance that is in usage by many CG Centres through Dataverse Open Source research data repository software;
- has several elements designed to use common vocabularies and lists. These terms are incorporated into repositories as “pick CGIAR lists” or as autocomplete/suggested text. Terms for the “Subject” element should come from more widely used vocabularies like AGROVOC, CABI Thesaurus or the Global Agricultural Concept Scheme (GACS).
cg.subject (Multiple element)
Dublin Core (dc.subject), DDI (codebook.docDscr.subject.keyword)
The subject matter of the research, technologies tested, crops involved in the research, methodologies, etc.
Single words or short phrases. Use controlled vocabularies (see attribute vocab)
Further work is needed around harmonization of Center-specific terms where terms overlaps. Further work also needed to harmonize CG subjects with AGROVOC when possible.
Cattle, Dairy, Maize
Dublin Core (dc.subject [Attribute xsi:type]), DDI (codebook.docDscr.subject.keyword [Attribute vocab])
Vocabulary used for each subject term.
Code or name of the vocabulary:
For more details, including information on technical implementation of the CG Core Metadata Schema, read on the CG Core Metadata Schema and Application Profile (AP).
- AGROVOC SKOSMOS (to search/browse AGROVOC concepts/terms)
- AGROVOC Linked Data set
- AGROVOC release files
- AGROVOC Webservices
- AGROVOC SPARQL endpoint
- AGROVOC VOID file
- AGROVOC Editorial guidelines (English only)
- Discover AGROVOC and other Data Standards on the VEST / AgroPortal platform
- AGROVOC and other community agreements for agrifood & related sectors
- Achievements, impact and strategy for AGROVOC thesaurus future
- New AGROVOC plugin for Open Journal Systems
- FAOTERM: translations and definitions EN ES FR AR RO ZH
- Landscaping the Use of Semantics to Enhance the Interoperability of Agricultural Data
- Knowledge Organization Systems (KOS) in the Semantic Web: A Multi-Dimensional Review
- AgroPortal: a backbone for data integration and standardization in Agronomy
- FAIRsharing : Find, Register, Claim your Standard, Database, and Policy... FAIRsharing will do the rest
- National Agricultural Library (NAL) Thesaurus (United States Department of Agriculture)
- Chinese Agricultural Thesaurus (CAAS) and its application on data sharing & interoperability
- SPAR Ontologies to enhance the scholarly articles with annotations about its structural and semantic characterisations
- METADATA 2020 : details and crosswalks of the recommendations. Can we agree?
- Meaningful Bibliographic Metadata (M2B)
- Developing Data Interoperability using standards: A Wheat Community use case
- Recorded Webinar on Linked Data Competency Index : Mapping the field for Teachers and Learners
- FAIR data use-cases from a lot of experience in working with agricultural data (from RDA IGAD)
- Implementing FAIR Data Principles: The Role of Libraries (LIBER)
- Outputs UDC Seminar 2017 "Faceted Classification Today" (Presentation slides; Posters and poster presentations). The Universal Decimal Classification (UDC) is the world's foremost multilingual classification scheme for all fields of knowledge, a sophisticated indexing and retrieval tool
- Metadata Application Profile for Agricultural Learning Resources
- Results from a Study of the Implementation of Metadata Application Profiles in Agricultural Learning Repositories
- A Framework for Knowledge sharing and Interoperability in Agricultural Research for Development
- Knowledge as a Service for Agriculture Domain
And, thanks again for your interest !