Agricultural research generates highly locale-specific as well as abstract or location-neutral information. Because of this diversity and the need to build prescriptive practices out of such information, agricultural research information management on the web requires semantic enablement. Keyword assignment is an important step towards achieving this. In this paper we describe a taxonomy called...

The AGROVOC is a multilingual structured thesaurus in the agricultural domain. It has already been mapped with several vocabularies, for example AGROVOC-CAT, AGROVOC-NALT , AGROVOC-SWD. Although these vocabularies already contained a good portion of nonpreferred terms, the terms are collected under the literary warrant and institutional warrant principles; which means vocabularies were collecte...

Queries in literature search engines are usually conducted on metadata derived from scientific publications. The search engine LIVIVO holds a corpus of 63 Million life science publications. About 25 Million publications in LIVIVO are taken from PubMed that have annotations with Medical Subject Headings (MeSH). The other publications have heterogeneous keyword annotations. Hence, a workflow is d...

Résumé. Cet article présente l’approche que nous avons adoptée pour résoudre le problème d’intégration de données dans le contexte du projet SIC-Sénégal dont l‘objectif est de permettre à plusieurs organismes partenaires de partager leurs sources de données environnementales. Nous réalisons une intégration en deux phases. Une première phase d’intégration structurelle, basée sur l’utilisation d’...

Education is a critical requirement for the development of sustainable agriculture. Learning resources available through the Web can be described with metadata for enhanced availability. The provision of semantic metadata describing these resources further facilitates retrieval and selection of resources based on richer annotations that use ontologies. This paper sketches the potential use of o...

The most frequently used concepts from AGROVOC, CABT, and NALT – three major thesauri in the area of food and agriculture – have been merged into a Global Agricultural Concept Scheme, with 15,000 concepts and over 350,000 terms in 28 languages in its beta release of May 2016. This set of core concepts (“GACS Core”) is seen as the first step towards a more comprehensive Global Agricultural Conce...

This paper describes a new algorithm for automatically extracting index terms from documents relating to the domain of agriculture. The domain-specific Agrovoc thesaurus developed by the FAO is used both as a controlled vocabulary and as a knowledge base for semantic matching. The automatically assigned terms are evaluated against a manually indexed 200-item sample of the FAO’s document reposit...

A&M [1]. ABC [44, 54]. Abuse [114]. Academic [266]. Access [10, 45, 55, 110, 131, 136, 185, 241, 243– 245]. Accessible [186]. Acquiring [244]. Active [67, 69]. activity [269]. AD [76]. Adaptable [174]. Adaptation [202, 258]. Adaptations [128, 182]. Adaptive [119, 123, 143, 181, 183, 199– 201, 203]. Addendum [134]. Adding [251]. Advanced [245]. Affecting [193]. Affordable [126, 246]. Age [89]. A...

This short case study will show on the basis of a simple example taken from the Food Safety area, how ontologies differ from thesauri. The example will start with showing an extract from the AGROVOC thesaurus and exploring the information that can be extracted from here. We will then develop this example further in order to show growing functionality and expressive power first in RDFS and final...