Výsledky vyhledávání - "Comparot, Catherine"

Intégration sémantique de données Raster pour l'observation de la Terre sur des unités territoriales

Autor: Tran, Ba-Huy, Aussenac-Gilles, Nathalie, Trojahn, Cassia, Comparot, Catherine

Publikováno v: IC 2022 : Journées Francophones d'Ingénierie des connaissances @ PFIA 2022
33èmes Journées Francophones d'Ingénierie des Connaissances (IC 2022)
33èmes Journées Francophones d'Ingénierie des Connaissances (IC 2022), Jun 2022, Saint-Etienne, France. pp.92-94

In Earth Observation, the raster format, standard for data and image representation, is not well suited to characterize areas of interest by pixel values alone. We propose to semantically integrate raster data with other data according to their spati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::57300fb2453fda7bb4dd800549764eda
https://hal.science/hal-03760543/file/IC_CANDELA_resume_2022.pdf

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Akademický článek

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From EO Change Rasters to Knowledge Graphs: An approach Based on Regions of Interest

Autor: Dorne, Jordane, Aussenac-Gilles, Nathalie, Comparot, Catherine, Hugues, Romain, Trojahn, Cassia

Publikováno v: Proceedings of the 4th International Workshop on Geospatial Linked Data (GeoLD 2021) Co-located with the 18th Extended Semantic Web Conference (ESWC 2021) ; ISSN 1613-0073
4th International Workshop on Geospatial Linked Data (GeoLD 2021@ESWC 2021)
4th International Workshop on Geospatial Linked Data (GeoLD 2021@ESWC 2021), Beyza Yaman; Mohamed Ahmed Sherif; Axel-Cyrille Ngonga Ngomo; Armin Haller, Jun 2021, Hersonissos, Greece. pp.67-79
4th International Workshop on Geospatial Linked Data (GeoLD 2021@ESWC 2021), Beyza Yaman; Mohamed Ahmed Sherif; Axel-Cyrille Ngonga Ngomo; Armin Haller, Jun 2021, Hersonissos, Greece. pp.76-79

International audience; This paper proposes a process that supports the full life-cycle to generate and exploit knowledge graphs (KG) from Earth observation rasters and open data. The innovative features of this process include i) an algorithm to aut

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3f5d42d00be69838b244d34497f99e8a
https://hal.science/hal-03327705/document

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SYNOP Data Evaluation Using FAIR Maturity Model

Autor: Annane, Amina, Kamel, Mouna, Trojahn, Cassia, Aussenac-Gilles, Nathalie, Comparot, Catherine, Baehr, Christophe

Publikováno v: [Research Report] IRIT/RR--2021--03--FR, IRIT-Institut de Recherche en Informatique de Toulouse. 2021

SYNOP dataset is one of the open meteorological datasets privided by Météo-France on its data portal. The dataset includes observation data from international surface observation messages circulating on the Global Telecommunication System (GTS) of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::08fb1d7dd19d49eb5ed254ecb877fef0
https://hal.archives-ouvertes.fr/hal-03197115/document

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An ontology-based approach for FAIR meteorological datasets

Autor: Annane, Amina, Aussenac-Gilles, Nathalie, Comparot, Catherine, Kamel, Mouna, Trojahn, Cassia, Dayre, Pascal, Baehr, Christophe, Gaillard, Pascal, Auda, Yves

Publikováno v: 18th Plenary Meeting Research Data Alliance (RDA 2021)
18th Plenary Meeting Research Data Alliance (RDA 2021), Nov 2021, On line, United Kingdom

International audience; Semantics4FAIR ( https://www.irit.fr/semantics4fair/ ) is one of the projects selected by the French National Research Agency (ANR) on theFLASH CALL Open Science entitled "research practices and open research data". It aims at

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1ed836d52a76c785b2e3d0a2d5fdc488
https://hal.science/hal-03761722

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Un modèle sémantique en vue d’améliorer la FAIRisation des données météorologiques

Autor: Annane, Amina, Kamel, Mouna, Aussenac-Gilles, Nathalie, Trojahn, Cassia, Comparot, Catherine, Baehr, Christophe

Publikováno v: Séminaire In-OVIVE
Séminaire In-OVIVE, réseau In-OVIVVE-INRAE, Sep 2021, Paris, France
Journées Francophones d'Ingénierie des Connaissances (IC) Plate-Forme Intelligence Artificielle (PFIA 2021)
Journées Francophones d'Ingénierie des Connaissances (IC) Plate-Forme Intelligence Artificielle (PFIA 2021), Collège SIC (Science de l’Ingénierie des Connaissances) de l’AFIA, Jun 2021, Bordeaux, France. pp.20-29
Actes IC 2021 (@ PFIA 2021)
Journées Francophones d'Ingénierie des Connaissances (IC 2021) @ Plate-Forme Intelligence Artificielle (PFIA 2021)
Journées Francophones d'Ingénierie des Connaissances (IC 2021) @ Plate-Forme Intelligence Artificielle (PFIA 2021), Collège SIC (Science de l’Ingénierie des Connaissances) de l’AFIA, Jun 2021, Bordeaux (en distanciel), France. pp.20-29

Making meteorological data FAIR in order to ease its reuse is a strategic issue because this data is essential to advance research in many fields. This work proposes a semantic model which combines a metadata model and a data model for describing met

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd22cf1b7e1decbe251963746a628b21
https://hal.science/hal-03409597

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Periodical

Improving FAIRness of the SYNOP meteorological data set with semantic metadata

Autor: Annane, Amina, Kamel, Mouna, Trojahn, Cassia, Aussenac-Gilles, Nathalie, Comparot, Catherine, Baehr, Christophe

Publikováno v: International Journal of Metadata, Semantics and Ontologies; 2023, Vol. 16 Issue: 2 p118-137, 20p

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CANDELA: A Cloud Platform for Copernicus Earth Observation Data Analytics

Autor: Rolland, J-Francoise, Haugommard, Anne, Castel, Fabien, Aubrun, Michelle, Yao, Wei, Dumitru, Corneliu Octavian, Datcu, Mihai, Bylicki, Michal, Tran, Ba-Huy, Aussenac-Gillles, Nathalie, Comparot, Catherine, Trojahn, Cassia

Publikováno v: IEEE International Geoscience & Remote Sensing Symposium-IGARSS 2020
IEEE International Geoscience & Remote Sensing Symposium-IGARSS 2020, Sep 2020, Waikoloa, Hawaii, United States

Oral presentation; International audience; This article presents the achievements of the Candela project. This project aims to develop a platform and new algorithms for the handling, analysis and interpretation of earth observation data. The platform

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::42fc6237055e0aec1df69697feca3ce2
https://hal.archives-ouvertes.fr/hal-03001582

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Integrated Spatio-temporal Data for Earth Observation: A RDF dataset of Territorial Units with their Land Cover

Autor: Tran, Ba-Huy, Aussenac-Gilles, Nathalie, Comparot, Catherine, Trojahn dos Santos, Cassia

Publikováno v: Actes GAST 2020
Atelier Gestion et Analyse de données Spatiales et Temporelles (GAST@EGC 2020)
Atelier Gestion et Analyse de données Spatiales et Temporelles (GAST@EGC 2020), Jan 2020, Bruxelles, Belgium. pp.1-9

International audience; In this paper, we propose an ontology-based approach that relies on data spatial and temporal dimensions to semantically integrate open datasets together with Earth Observation data. The resulting dataset provides rich context

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ab3828c5be2bab1909fc3943464b1e20
https://hal.archives-ouvertes.fr/hal-02947790/file/Tran_Garde_26339..pdf

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