Les membres de l'équipe de AIMS cherchent à publier et documenter le travail effectué dans le cadre des normes, des technologies et des bonnes pratiques pour le libre accès et les données ouvertes dans le domaine agricole. Les publications comprennent des documents de conférences, des articles de revues, des chapitres de livres, des rapports techniques, des manuels et sont mis dans deux dépôts – l’Archive de Documents FAO et E-LIS, E-prints dans Bibliothèconomie et Sciences de l’Information./a>.
L'interface de recherche ci-dessous permet aux utilisateurs de parcourir ces publications.
This paper (Information as a social object and the library environment) is a descriptive study that analyses information and projects it as a social object at a specific stage of the development of...
We present a novel approach of extracting a domain ontology from large-scale thesauri. Concepts are identified to be relevant for a domain based on their frequent occurrence in domain texts. The...
This document provides detailed technical information for converting bibliographic data from local databases into valid AGRIS DTD compliant XML records. The process that is to be carried out is, to...
This paper proposes that for scientific and technical information resources, a well-structured and high-quality metadata record contains enough information to find that resource on the Internet,...
Existing classification schemes and thesauri are lacking in well-defined semantics and structural consistency. Empowering end users in searching collections of ever increasing magnitudes with...
The first COAIM (Consultation on Agricultural information Management), held in June 2000 recognized that AGRIS should become “a key enabler and catalyst to establish a new model of agricultural...
This paper focuses on the AGRIS Application Profile (AGRIS AP), a standard created specifically to enhance description, exchange and subsequent retrieval of agricultural Document-Like Information...
This paper presents an approach to automatically subject index fulltext documents with multiple labels based on binary support vector machines(SVM). The aim was to test the applicability of SVMs...
