39 Hints to Facilitate the Use of Semantics for Data on Agriculture and Nutrition

no code implementations • 15 Dec 2020 • Caterina Caracciolo, Sophie Aubin, Clement Jonquet, Emna Amdouni, Romain David, Leyla Garcia, Brandon Whitehead, Catherine Roussey, Armando Stellato, Ferdinando Villa

In this paper, we report on the outputs and adoption of the Agrisemantics Working Group of the Research Data Alliance (RDA), consisting of a set of recommendations to facilitate the adoption of semantic technologies and methods for the purpose of data interoperability in the field of agriculture and nutrition.

Nutrition

NCBO Ontology Recommender 2.0: An Enhanced Approach for Biomedical Ontology Recommendation

no code implementations • 18 Nov 2016 • Marcos Martinez-Romero, Clement Jonquet, Martin J. O'Connor, John Graybeal, Alejandro Pazos, Mark A. Musen

To overcome this problem, in 2010 the National Center for Biomedical Ontology (NCBO) released the Ontology Recommender, which is a service that receives a biomedical text corpus or a list of keywords and suggests ontologies appropriate for referencing the indicated terms.

Data Integration

Automatic Biomedical Term Polysemy Detection

no code implementations • LREC 2016 • Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire

Polysemy detection is a first step for Word Sense Induction (WSI), which allows to find different meanings for a term.

Word Sense Induction

Automatic Term Extraction Combining Different Information (Extraction automatique de termes combinant diff\'erentes informations) [in French]

no code implementations • JEPTALNRECITAL 2014 • Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire

Term Extraction