Extraction automatique des mots-clés à partir de publications scientifiques pour l’indexation et l’ouverture des données en agronomie

Abstract : With the large amounts of textual data related to agriculture now available, indexing becomes a crucial issue for research organizations. One way to index documents consists in extracting terminology. This paper investigates the use and combination of text mining methodologies to highlight and publish the most appropriate terms from documents in open data systems. Experiments conducted on CIRAD data, show the validity of the approach used to extract new and relevant terms.
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Submitted on : Friday, November 13, 2015 - 3:52:58 PM
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Mathieu Roche, Sophie Fortuno, Juan Antonio Lossio-Ventura, Amira Akli, Salim Belkebir, et al.. Extraction automatique des mots-clés à partir de publications scientifiques pour l’indexation et l’ouverture des données en agronomie. Cahiers Agricultures, EDP Sciences, 2015, 24 (5), pp.313-320. ⟨10.1684/agr.2015.0773⟩. ⟨lirmm-01228700⟩

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