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Nathalie Aussenac-Gilles

Nathalie Aussenac-Gilles - DR2 CNRS à l'IRIT, UMR 5505 , Toulouse, France
7
Documents
Affiliations actuelles
  • 419558
Identifiants chercheurs
Site web
  • http://www.irit.fr/~Nathalie.Aussenac-Gilles/

Présentation

Nathalie Aussenac-Gilles is a CNRS senior researcher at IRIT, the laboratory in Computer Science of Université Paul Sabatier in Toulouse, since 1991. She is currently co-heading the AI department at IRIT (<https://www.irit.fr/departement/intelligence-artificielle/>) together with P. Zaraté. Before, she headed the MELODI group ([http://www.irit.fr/-Equipe-MELODI- ](http://www.irit.fr/-Equipe-MELODI-)) jointly with P. Muller from 2011 to 2020 and from 2010 to 2019, she coordinated activities at IRIT related to Big Data, AI and Data processing. Her research deals with knowledge engineering (KE) and semantic web technologies, methods and models for ontology engineering and population from human expertise, text and more recently from data. She contributes to information extraction from text, in particular relation extraction, and ontology-based integration of heterogeneous geospatial data. Her work is influenced by long term cross-disciplinary collaborations with linguists and researchers in human factors. She designed methods and platforms for ontology engineering and evolution, tools for semantic relation and concept extraction from text, as well as on knowledge representation to include lexical data. She has been task manager in various French ANR and FUI projects with applications in areas as diverse as archaeology, car diagnosis, cartography, Earth observation or scholar paper analysis. She is an expert for the French ANR program, and was membre of the CNRS recruitment and evaluation committee from 2008 to 2012 and from 2016 to 2021. She chaired the GRACQ (1988-2005), a French working group in KE, and later the TIA SIG (2005-2010) in NLP, KE and terminology. She was involved in the organization or chairing of conferences (EKAW, ESWC, TIA, IC, …) and she belongs to the editorial boards of scientific journals (formerly RevueI3 and IJHCS, currently Applied Ontology). She supervised 18 PhD. theses and published more than 90 papers in Journals, conferences and workshops related to semantic web and knowledge engineering. Contact: nathalie.aussenac-gilles@irit.fr. [https://www.irit.fr/~Nathalie.Aussenac-Gilles/](https://www.irit.fr/~Nathalie.Aussenac-Gilles/ "Page web de Nathalie Aussenac-Gilles") Portail HAL de MELODI : https://hal.archives-ouvertes.fr/IRIT-MELODI

Publications

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FAIRification of Multidimensional and Tabular Data by Instantiating a Core Semantic Model with Domain Knowledge: Case of Meteorology

Cassia Trojahn , Mouna Kamel , Amina Annane , Nathalie Aussenac-Gilles , Bao-Long Nguyen
16th International Conference on Metadata and Semantics Research (MTSR 2022), Nov 2022, London, United Kingdom. à paraître
Communication dans un congrès hal-03872638v1
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A FAIR Core Semantic Metadata Model for FAIR Multidimensional Tabular Datasets

Cassia Trojahn , Mouna Kamel , Amina Annane , Nathalie Aussenac-Gilles , Bao-Long Nguyen
23rd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2022), Sep 2022, Bolzano, Italy. pp.174 - 181, ⟨10.1007/978-3-031-17105-5_13⟩
Communication dans un congrès hal-03872685v1

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

Amina Annane , Nathalie Aussenac-Gilles , Catherine Comparot , Mouna Kamel , Cassia Trojahn dos Santos
Séminaire In-OVIVE 2021, Réseau In-OVIVE - INRAE, Sep 2021, Paris (en distanciel), France
Communication dans un congrès hal-03409597v1
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Un modèle sémantique en vue d’améliorer la FAIRisation des données météorologiques (PFIA 2021)

Amina Annane , Mouna Kamel , Nathalie Aussenac-Gilles , Cassia Trojahn , Catherine Comparot
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
Communication dans un congrès emse-03260061v1
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An ontology-based approach for FAIR meteorological datasets

Amina Annane , Nathalie Aussenac-Gilles , Catherine Comparot , Mouna Kamel , Cassia Trojahn
18th Plenary Meeting Research Data Alliance (RDA 2021), Nov 2021, On line, United Kingdom
Poster de conférence hal-03761722v1
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Towards the FAIRification of Meteorological Data: a Meteorological Semantic Model

Amina Annane , Mouna Kamel , Cassia Trojahn , Nathalie Aussenac-Gilles , Catherine Comparot
Emmanouel Garoufallou; María-Antonia Ovalle-Perandones; Andreas Vlachidis. Metadata and Semantic Research 15th International Conference, MTSR 2021, Virtual Event, November 29 – December 3, 2021, Revised Selected Papers ; ISBN: 978-3-030-98875-3, 1537, Springer International Publishing, pp.81-93, 2022, Communications in Computer and Information Science book series (CCIS), ⟨10.1007/978-3-030-98876-0_7⟩
Chapitre d'ouvrage hal-03683695v1
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SYNOP Data Evaluation Using FAIR Maturity Model

Amina Annane , Mouna Kamel , Cassia Trojahn , Nathalie Aussenac-Gilles , Catherine Comparot
[Research Report] IRIT/RR--2021--03--FR, IRIT - Institut de Recherche en Informatique de Toulouse. 2021
Rapport hal-03197115v1