Agricultural Information Management Registry
of Vocabularies, mEtadata Sets and Tools
The Vocabularies, mEtadata Sets and Tools (VEST) Registry for agricultural information management is a catalog of tools, created and maintained by AIMS. More specifically it contains:
- Controlled vocabularies: authority files, classification systems, concept maps, controlled lists, dictionaries, ontologies or subject headings.
- Metadata sets: metadata element sets, namespaces and application profiles.
- Tools: library management software, content management systems or document repository software.
The objective of the VEST Registry is to give a general overview of available tools in agricultural information management. It is thus primarily concerned with collecting and and maintaining a consistent set of metadata for each type of resource. The overall aim of the Registry is to increase the visibility and use of open access tools for agricultural information management.
Suggest new resources
The VEST Registry already contains 110 vocabularies, 29 metadata sets and 33 tools, but many more can be added! Do you know of a resource not yet present in the VEST Registry, please send an e-mail to email@example.com providing the web address of the resource. We will add it to the Registry.
For questions and assistance on AIMS tools, standards and services present in the VEST Registry, please visit the Community section of the AIMS website. Most AIMS resources have a proper community where you can post your questions/comments and receive feedback. For questions and assistance on the use of non-AIMS resources in the Registry, please consult the web addresses referred to in the records on the resources.
Type a word/phrase in the search box and click on "Apply": a list of all resources resulting from your search will be loaded. Note that you can narrow your search down by selecting a content type in the Types field.
A structured vocabulary of 12,100 English terms in the field of African studies, the African Studies Thesaurus is developed and maintained by staff at the library of the African Studies Centre Leiden. It is used for indexing and retrieving material in the library collection and is directly linked to the catalogue.
The Agriculture and Forestry Ontology (AFO) is based in the Agriforest thesaurus and maintained by the Viikki campus library, of the University of Helsinki Library. It contains 6000 concepts in four languages (English, Finnish, Swedish and Latin) .
A tool for selecting terms for information retrieval from eViikki database. Subjects covered are agriculture, forestry, food, nutrition, household sciences, consumer research, rural development, environmental science. It contains Finnish and English index terms, scientific names of plants, plant diseases, and pests.
The AGRIMetamaker is a web form developed using the Drupal CMS. It allows you to generate metadata as easily as possible. You can create new references and enter the information manually in a few minutes. You just need to fill in as many fields as you think are necessary to describe your document, save the reference, add as many you wish, review and edit the data, if necessary, and lastly export them to your computer.
The database provides detailed information on 670 agroforestry tree species in order to help field workers and researchers in selecting appropriate species for agroforestry systems and technologies. For each species, the database includes information on identity, ecology and distribution, propagation and management, functional uses, pests and diseases and a bibliography.
This project has been funded by the British Department for International Development (DFID), the European Union and the World Agroforestry Centre.
AGROVOC is a multilingual structured and controlled vocabulary designed to cover the terminology of all subject fields in agriculture, forestry, fisheries, food and related domains (e.g. environment). The AGROVOC Thesaurus was developed by FAO and the Commission of the European Communities in the early 1980s. Since then it has been updated continuously by FAO and local institutions in member countries. AGROVOC is mainly used for indexing and retrieving data in agricultural information systems both inside and outside FAO. Its main role is to standardize the indexing process in order to make searching simpler and more efficient, and to provide the user with the most relevant resources.
The AGROVOC Maintenance Interface is a web based Thesaurus Management System developed by FAO. The system allows for interaction with the database storing the AGROVOC thesaurus. Technical details: PHP, MySQL. The AGROVOC thesaurus is multilingual, however the tool interface is currently available only in English. To get the latest version, contact us at FAO-Agris-Caris@fao.org.
This tool, developed by the Department of Computer Engineering, Kasetsart University, presents a hybrid approach to detect ill-defined relationships of terms and suggesting more precisely defined relationships. The system consists of three main modules: Refinement rule Acquisition, Detection and Suggestion, and Verification. The rule acquisition module is a tool used for acquiring the refinement rules from experts and by machine learning.
By Phil Myers
ARABTERM is a multilingual terminology database which provides United Nations nomenclature and special terms in four of the official UN languages - Arabic, English, French and Spanish. The database is mainly intended for use by the language and editorial staff of the United Nations to ensure consistent translation of common terms and phrases used within the Organization.
APAIS is a subject index to scholarly articles in the social sciences and humanities published in Australia, and to selected periodical articles, conference papers, book and newspaper articles on Australian economic, social, political and cultural affairs. It is used to index articles for APAIS: Australian Public Affairs Information Service and to search it and other Australian Public Affairs
The BCH Thesaurus provides a pre-defined list of terms, related synonyms and translations used in the specific context of records registered with the Biosafety Clearing-House. It establishes the relationships between these terms to facilitate retrieval of records. The BCH Controlled Vocabulary uses the ‘preferred’ terms from the BCH Thesaurus to classify records in the BCH, which allows users to consistently register and search for information in the databases in multiple languages.
This ontology manages reference data about biological species needed for fisheries fact sheets and statistical information, among other resources. Species items are organized and maintained in the Aquatic Science and Fisheries Information System (ASFIS) and currently includes nearly 11.000 species items related to Fisheries and Aquaculture.
CABICODES enable searchers to locate general subject categories which are not easy to retrieve using descriptors alone and help them to exclude irrelevant information from their searches. CABICODES have been derived from the classification schemes used in the AGRICOLA and AGRIS databases, with changes made to allow for differences in subject scope and emphasis.
The CAB Thesaurus is the essential search tool for all users of the CAB ABSTRACTS™ and Global Health databases and related products. The CAB Thesaurus is not only an invaluable aid for database users but it has many potential uses by individuals and organizations indexing their own information resources for both internal use and on the Internet..