Knowledge graph completion using Artificial Neural Networks for Herb-Drug Interaction discovery

Project Information

kANNa

Grant agreement ID: 800578

DOI

10.3030/800578

Project closed

EC signature date 25 April 2018

Start date 1 April 2019

End date 31 March 2021

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 185 076,00

EU contribution

€ 185 076,00

Coordinated by

UNIVERSITE DE BORDEAUX
France

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (4)

Visualizing food-drug interactions in the Thériaque database. 31st Medical Informatics Europe Conference (MIE)

Author(s): Frédéric Lalanne, Pierrick Bedouch, Cyril Simonnet, Vincent Depras, Georgeta Bordea, Romain Bourqui, Thierry Hamon, Frantz Thiessard, Fleur Mougin
Published in: 31st Medical Informatics Europe Conference (MIE), 2021
Publisher: MIE

FIDEO: Food Interactions with Drugs Evidence Ontology

Author(s): Georgeta Bordea, Jean Noel Nikiema, Romain Griffier, Thierry Hamon, Fleur Mougin
Published in: 11th International Conference on Biomedical Ontologies, 2020
Publisher: ICBO
DOI: 10.5281/zenodo.4650698

Query selection methods for automated corpora construction with a use case in food-drug interactions

Author(s): Georgeta Bordea, Tsanta Randriatsitohaina, Fleur Mougin, Natalia Grabar, Thierry Hamon
Published in: Proceedings of the 18th BioNLP Workshop and Shared Task, 2019, Page(s) 115-124
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/w19-5013

Evaluation Dataset and Methodology for Extracting Application-Specific Taxonomies from the Wikipedia Knowledge Graph

Author(s): Georgeta Bordea, Stefano Faralli, Fleur Mougin, Paul Buitelaar, Gayo Diallo
Published in: 12th Conference on Language Resources and Evaluation (LREC 2020), 2020
Publisher: LREC
DOI: 10.5281/zenodo.4650234