Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Emna Amdouni"'
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
Publikováno v:
Enterprise Information Systems
Enterprise Information Systems, Taylor & Francis, 2020, pp.1-42. ⟨10.1080/17517575.2020.1843076⟩
Enterprise Information Systems, Taylor & Francis, 2020, pp.1-42. ⟨10.1080/17517575.2020.1843076⟩
Most of today's software development projects depend on the usage of existing solutions to save time and development costs. We target in this research work the design of a software capability profi...
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
FAIRness assessment evaluates the degree to which a digital object is Findable, Accessible, Interoperable, and Reusable. Here, our object of interest are semantic resources (from thesauri, terminologies, vocabularies to ontologies). Indeed, we have n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08766cfc28157702b9d1974db385c346
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03630233
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03630233
Autor:
Romain David, Armando Stellato, Caterina Caracciolo, Clement Jonquet, Brandon Whitehead, Sophie Aubin, Catherine Roussey, Emna Amdouni, Ferdinando Villa, Leyla Garcia
Publikováno v:
CODATA Data Science Journal
CODATA Data Science Journal, Committee on Data for Science and Technology (CODATA), 2020, 19 (1), ⟨10.5334/dsj-2020-047⟩
Addi. Archivo Digital para la Docencia y la Investigación
instname
CODATA Data Science Journal, 2020, 19 (1), ⟨10.5334/dsj-2020-047⟩
Data Science Journal, Vol 19, Iss 1 (2020)
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Data Science Journal
Data Science Journal; Vol 19 (2020); 47
CODATA Data Science Journal, Committee on Data for Science and Technology (CODATA), 2020, 19 (1), ⟨10.5334/dsj-2020-047⟩
Addi. Archivo Digital para la Docencia y la Investigación
instname
CODATA Data Science Journal, 2020, 19 (1), ⟨10.5334/dsj-2020-047⟩
Data Science Journal, Vol 19, Iss 1 (2020)
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Data Science Journal
Data Science Journal; Vol 19 (2020); 47
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecbe6179c3ef746decc620688595c581
http://arxiv.org/abs/2012.08325
http://arxiv.org/abs/2012.08325
Autor:
Emna Amdouni, Clement Jonquet
Publikováno v:
Jourrnées francophones d’Ingénierie des Connaissances (IC 2021) Plate-Forme Intelligence Artificielle (PFIA'21)
Jourrnées francophones d’Ingénierie des Connaissances (IC 2021) Plate-Forme Intelligence Artificielle (PFIA'21), Jun 2021, Bordeaux, France. pp.11-19
HAL
Jourrnées francophones d’Ingénierie des Connaissances (IC 2021) Plate-Forme Intelligence Artificielle (PFIA'21), Jun 2021, Bordeaux, France. pp.11-19
HAL
The “FAIR” principles define a set of characteristics data and their metadata should respect in order to be Findable, Accessible, Interoperable, and Reusable. Per principle I2, an ontology, and more generally a semantic resource, should also be F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::74c4b12b851b0a7075d7859c2fac4511
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03232615
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03232615
Autor:
Emna Amdouni, Clement Jonquet
Publikováno v:
Metadata and Semantic Research ISBN: 9783030988753
15th International Conference on Metadata and Semantics Research (MTSR 2021)
15th International Conference on Metadata and Semantics Research (MTSR 2021), Nov 2021, Madrid, Spain
15th International Conference on Metadata and Semantics Research (MTSR 2021)
15th International Conference on Metadata and Semantics Research (MTSR 2021), Nov 2021, Madrid, Spain
International audience; In open science, the expression “FAIRness assessment” refers to evaluating to which degree a digital object is Findable, Accessible, Interoperable, and Reusable. Standard vocabularies or ontologies are a key element to ach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e702790e82c5ec3a87b28b865a35d44
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03208544
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03208544
Imaging Biomarker Ontology (IBO): A Biomedical Ontology to Annotate and Share Imaging Biomarker Data
Autor:
Bernard Gibaud, Emna Amdouni
Publikováno v:
Journal on Data Semantics
Journal on Data Semantics, Springer, 2018, 7 (4), pp.223. ⟨10.1007/s13740-018-0093-3⟩
Journal on Data Semantics, 2018, 7 (4), pp.223. ⟨10.1007/s13740-018-0093-3⟩
Journal on Data Semantics, Springer, 2018, 7 (4), pp.223. ⟨10.1007/s13740-018-0093-3⟩
Journal on Data Semantics, 2018, 7 (4), pp.223. ⟨10.1007/s13740-018-0093-3⟩
International audience; Imaging biomarkers refer to radiological measurements that characterize biological processes of imaged subjects and help clinicians particularly in the assessment of therapeutic responses and the early prediction of pathologie