Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Clement, Jonquet"'
Autor:
Oscar Corcho, Fajar J. Ekaputra, Ivan Heibi, Clement Jonquet, Andras Micsik, Silvio Peroni, Emanuele Storti
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract This work presents a maturity model for assessing catalogues of semantic artefacts, one of the keystones that permit semantic interoperability of systems. We defined the dimensions and related features to include in the maturity model by ana
Externí odkaz:
https://doaj.org/article/41716e2c45784326a612a67f8840b47e
Autor:
Caterina Caracciolo, Sophie Aubin, Clement Jonquet, Emna Amdouni, Romain David, Leyla Garcia, Brandon Whitehead, Catherine Roussey, Armando Stellato, Ferdinando Villa
Publikováno v:
Data Science Journal, Vol 22, Iss 1 (2023)
This article details a correction to the article: Caracciolo, C., Aubin, S., Jonquet, C., Amdouni, E., David, R., Garcia, L., Whitehead, B., Roussey, C., Stellato, A. and Villa, F., 2020. 39 Hints to Facilitate the Use of Semantics for Data on Agricu
Externí odkaz:
https://doaj.org/article/e1be0d4ca2c142f4b2883fd08cdcdab0
Autor:
Caterina Caracciolo, Sophie Aubin, Clement Jonquet, Emna Amdouni, Romain David, Leyla Garcia, Brandon Whitehead, Catherine Roussey, Armando Stellato, Ferdinando Villa
Publikováno v:
Data Science Journal, Vol 19, Iss 1 (2020)
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 dat
Externí odkaz:
https://doaj.org/article/8f6c2f1e04c4458b929a4e350c6eb445
Autor:
Romain David, Laurence Mabile, Alison Specht, Sarah Stryeck, Mogens Thomsen, Mohamed Yahia, Clement Jonquet, Laurent Dollé, Daniel Jacob, Daniele Bailo, Elena Bravo, Sophie Gachet, Hannah Gunderman, Jean-Eudes Hollebecq, Vassilios Ioannidis, Yvan Le Bras, Emilie Lerigoleur, Anne Cambon-Thomsen, The Research Data Alliance – SHAring Reward and Credit (SHARC) Interest Group
Publikováno v:
Data Science Journal, Vol 19, Iss 1 (2020)
The SHARC Interest Group of the Research Data Alliance was established to improve research crediting and rewarding mechanisms for scientists who wish to organise their data (and material resources) for community sharing. This requires that data are f
Externí odkaz:
https://doaj.org/article/9c392e3a829f46cca831a1bc67244694
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-26 (2018)
Abstract Background Despite a wide adoption of English in science, a significant amount of biomedical data are produced in other languages, such as French. Yet a majority of natural language processing or semantic tools as well as domain terminologie
Externí odkaz:
https://doaj.org/article/1a64b9d6bbb64a0c87dfbc8ba16fa4a6
Autor:
Marcos Martínez-Romero, Clement Jonquet, Martin J. O’Connor, John Graybeal, Alejandro Pazos, Mark A. Musen
Publikováno v:
Journal of Biomedical Semantics, Vol 8, Iss 1, Pp 1-22 (2017)
Abstract Background Ontologies and controlled terminologies have become increasingly important in biomedical research. Researchers use ontologies to annotate their data with ontology terms, enabling better data integration and interoperability across
Externí odkaz:
https://doaj.org/article/1a04ba61ef024d26b9a781180c5406a1
Autor:
Maaike Verburg, Mike Priddy, Robert Huber, Clement Jonquet, Neil Chue Hong, Daniel Garijo, Xeni Kechagioglou, Joy Davidson, Ingrid Dillo, Vasso Kalaitzi
At the end of 2022, an author group led by the EOSC Association Task Force on FAIR Metrics and Data Quality published ‘Community-driven governance of FAIRness assessment: an open issue, an open discussion’ which, as the title suggests, aims to fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00c7a5da0be3e0bf49efc0cc68f6c05f
Autor:
Aravind Venkatesan, Gildas Tagny Ngompe, Nordine El Hassouni, Imene Chentli, Valentin Guignon, Clement Jonquet, Manuel Ruiz, Pierre Larmande
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0198270 (2018)
Recent advances in high-throughput technologies have resulted in a tremendous increase in the amount of omics data produced in plant science. This increase, in conjunction with the heterogeneity and variability of the data, presents a major challenge
Externí odkaz:
https://doaj.org/article/6c7f1f21cb6f4d838f551020647c9767
Autor:
Esther Dzale Yeumo, Michael Alaux, Elizabeth Arnaud, Sophie Aubin, Ute Baumann, Patrice Buche, Laurel Cooper, Hanna Ćwiek-Kupczyńska, Robert P. Davey, Richard Allan Fulss, Clement Jonquet, Marie-Angélique Laporte, Pierre Larmande, Cyril Pommier, Vassilis Protonotarios, Carmen Reverte, Rosemary Shrestha, Imma Subirats, Aravind Venkatesan, Alex Whan, Hadi Quesneville
Publikováno v:
F1000Research, Vol 6 (2017)
In this article, we present a joint effort of the wheat research community, along with data and ontology experts, to develop wheat data interoperability guidelines. Interoperability is the ability of two or more systems and devices to cooperate and e
Externí odkaz:
https://doaj.org/article/f9e1184c9dde45309e9dbe880770ec8c
Publikováno v:
The Semantic Web: ESWC 2022 Satellite Events ISBN: 9783031116087
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf73847f95a4b1544299447199d562d6
https://doi.org/10.1007/978-3-031-11609-4_17
https://doi.org/10.1007/978-3-031-11609-4_17