Juliette Dibie
Présentation
Publications
Publications
Extraction et reconstitution de relation n-Aires issues d'articles scientifiques en domaine expérimental guideées par une Ressource Termino-Ontologique22. Conférence Extraction et Gestion des Connaissances (EGC 2022), Jan 2022, Blois, France. pp.497-498 |
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Combinaison de mesures lexicales et sémantiques pour l'extraction de données expérimentales dans des articles scientifiquesExtraction et gestion des connaissances - EGC 2021, Jan 2021, Montpellier, France. pp.501-502 |
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Food transformation process description using PO2 and FoodOnIFOW 2020 Integrated Food Ontology Workshop, Sep 2020, Online, Italy |
SciPuRe: a new Representation of textual data for entity identification from scientific publicationsInternational conference on Web-Intelligence, Mining and Semantics, Jun 2020, Biarritz, France. pp.2020-2026, ⟨10.1145/3405962.3405978⟩ |
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A new alignment method based on FoodOn as pivot ontology to integrate nutritional legacy data sourcesIFOW 2020 - Integrated Food Ontology Workshop @ ICBO, Sep 2020, Online, Italy. pp.1-2 |
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Towards the extraction of partial instances of N-Ary relations in textual dataIN'OVIVE, Jul 2019, Toulouse, France |
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Recent progresses in data and knowledge integration for decision support in agri-food chainsIC 2019 - 30es Journées francophones d'Ingénierie des Connaissances, AFIA, Jul 2019, Toulouse, France. pp.43-59 |
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Interactive Causal Discovery in Knowledge GraphsPROFILES/SEMEX@ISWC 2019, Oct 2019, Auckland, New Zealand. pp.78-93 |
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Towards Interactive Causal Relation Discovery Driven by an OntologyFLAIRS 32, May 2019, Sarasota, United States |
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Identifying Control Parameters In Cheese Fabrication Process Using Precedence Constraints21st International Conference on Discovery Science (DS 2018), Oct 2018, Limassol, Cyprus. pp.421-434, ⟨10.1007/978-3-030-01771-2_27⟩ |
Relating transformation process, eco-design, composition and sensory quality of dairy products using PO2 ontologyCheese symposium, Apr 2018, Rennes, France. 1 p |
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PO2 VocabularyManager - A Collaborative Tool to Assist Users in Building a PO2 Domain Ontology Linked with Existing ResourcesWorkshop SemFAEN: Semantics for Future Food, Agriculture, Environment and Nutrition, Semantics, Sep 2018, Vienne, Austria |
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Data Collection and Analysis of Usages from Connected Objects: Some LessonsInternational Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE, Jun 2017, Arras, France. pp.251-258, ⟨10.1007/978-3-319-60045-1_27⟩ |
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BiPOm: Biological interlocked Process Ontology for metabolism. How to infer molecule knowledge from biological process?International Conference on Biomedical Ontology, ICBO 2017, Sep 2017, Newcastle upon Tyne, United Kingdom |
Florilège: a database gathering microbial phenotypes of food interest2017 Scientific MEM days: Journées scientifiques MEM (Métaomiques et écosystèmes microbiens), Jan 2017, Paris, France |
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Learning Probabilistic Relational Models using an Ontology of Transformation ProcessesConfederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Oct 2017, Rhodes, Greece. pp.198-215, ⟨10.1007/978-3-319-69459-7_14⟩ |
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Xart system: discovering and extracting correlated arguments of n-ary relations from text6th International Conference on Web Intelligence, Mining and Semantics (WIMS 2016), Jun 2016, Nimes, France. pp.8:1-8:12, ⟨10.1145/2912845.2912855⟩ |
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[MS]²O: A Multi-scale and Multi-step Ontology for Transformation Processes: Application to Micro-Organisms22nd International Conference on Conceptual Structures, Jul 2016, Annecy, France. pp.163-176, ⟨10.1007/978-3-319-40985-6_13⟩ |
PO² - A Process and Observation Ontology in Food Science. Application to Dairy GelsMetadata and Semantics Research - 10th International Conference, Nov 2016, Gottingen, Germany. pp.155-165, ⟨10.1007/978-3-319-49157-8_13⟩ |
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A decision support system using multi-source scientific data, an ontological approach and soft computing - application to eco-efficient biorefineryFUZZ-IEEE 2016 - International Conference on Fuzzy Systems, Jul 2016, Vancouver, Canada. pp.249-256, ⟨10.1109/FUZZ-IEEE.2016.7737694⟩ |
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Identification des unités de mesure dans les textes scientifiquesTALN: Traitement Automatique des Langues Naturelles, Jun 2015, Caen, France. pp.404-410 |
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Ontology Evolution for Experimental Data in FoodMTSR: Metadata and Semantics Research, Sep 2015, Manchester, United Kingdom. pp.393-404, ⟨10.1007/978-3-319-24129-6_34⟩ |
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Mapping ontology with probabilistic relational models - an application to transformation processesInternational Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015), Nov 2015, Lisbon, Spain. pp.171-178, ⟨10.5220/0005590001710178⟩ |
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A Decision Support Tool based on microbial safety prediction for a better dimensioning of modified atmosphere packaging29. EFFoST International Conference, Nov 2015, Athènes, Greece |
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Experimental data annotation guided by an ontology for decision support: @Web projectMéthodes et outils pour l'Open Data, Dec 2014, Montpellier, France |
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Alignement d'ontologies : exploitation des ontologies liées sur le web de donnéesEGC: Extraction et Gestion des Connaissances, Jan 2014, Rennes, France. pp.23-34 |
Construction d’une ontologie multi-échelles et multicritères - Application à un système de production et de stabilisation de cellules microbiennesJournées Francophones d'Ingénierie des Connaissances, IC'2014, Atelier In-OVIVE, Jun 2014, Clermont-Ferrand, France. 2 p |
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How to extract unit of measure in scientific documents?KDIR: Knowledge Discovery and Information Retrieval, Sep 2013, Vilamoura, Portugal. pp.454-459, ⟨10.5220/0004666302490256⟩ |
Une approche pour l’évolution d’une ressource termino-ontologique dédiée à la représentation de relations n-airesIC 2013 - 24es Journées francophones d’Ingénierie des Connaissances, Atelier IN-OVIVE, Jul 2013, Lille, France |
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Semi-automatic loading of a microbial risk in food database thanks to an ontology in the context of linked dataICPMF 2013 - 8th International Conference on Predictive Modelling in Food, Sep 2013, Paris, France. 292 p |
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Evolution d'une RTO dédiée à la représentation de relations n-airesEGC 2013 - 13ème Conférence Extraction et Gestion des Connaissances, Jan 2013, Toulouse, France. pp.413-418 |
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Units of measure identification in unstructured scientific documents in microbial risk in food8. International Conference on Predictive Modelling in Food, Sep 2013, Paris, France. pp.254-255 |
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Vers la publication d’une RTO dédiée à l’annotation de relations n-aires.IC’2012, 23. Journées francophones d’Ingénierie des Connaissances, Atelier « Ontologies et Jeux de Données pour évaluer le web sémantique», Jun 2012, Paris, France. 3 p |
A decision making platform for risk-benefit analysis of foodsEFFoST'12 Annual Meeting, Nov 2012, Montpellier, France |
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Food science and knowledge engineering: a challenging encounterEFFoST'2012: European Federation of Food Science and Technology, Nov 2012, Montpellier, France |
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The role of scientific uncertainty in food risk analysis processEFFoST'12 Annual Meeting, Nov 2012, Montpellier, France |
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Extraction de relations n-aires interphrastiques guidée par une RTOCORIA: Conférence en Recherche d’Information et Applications, Mar 2012, Bordeaux, France. pp.179-190 |
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Détection de redondances dans les tableaux guidée par une ontologieEGC 2011 - 11ème Conférence Extraction et Gestion des Connaissances, Ecole Nationale Supérieure de Techniques Avancées (ENSTA ParisTech). Labo/service de l'auteur, Paris, FRA., Jan 2011, Brest, France. pp.563-568 |
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Modélisation d'une ressource termino-ontologique de domaine pour l'annotation sémantique de tableauxEGC: Extraction et Gestion des Connaissances, Ecole Nationale Supérieure de Techniques Avancées (ENSTA ParisTech). Labo/service de l'auteur, Paris, FRA., Jan 2011, Brest, France. pp.581-586 |
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An Ontology-Based Method for Duplicate Detection in Web Data TablesDEXA 2011 - 22nd International Conference on Database and Expert Systems Applications, Aug 2011, Toulouse, France. pp.511-525, ⟨10.1007/978-3-642-23088-2_38⟩ |
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An Ontological and Terminological Resource for n-ary Relation Annotation in Web Data TablesODBASE 2011- 10th International Conference on Ontologies, DataBases, and Applications of Semantics, Oct 2011, Crete, Greece. pp.662-679, ⟨10.1007/978-3-642-25106-1_19⟩ |
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Towards Large-Size Ontology Alignment by Mapping Groups of ConceptsOTM: On the Move to Meaningful Internet Systems, Oct 2010, Hersonissos, Crete, Greece. pp.43-44, ⟨10.1007/978-3-642-16961-8_13⟩ |
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Vers une méthode d'évolution d'une ontologie guidée par l'annotation sémantique de tableaux du WebIC 2010 - 21es Journées francophones d'Ingénierie des Connaissances - Atelier Évolution d'ontologies, Jun 2010, Nîmes, France |
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Construction et alignement d’ontologies pour évaluer le risque alimentaire3. Conférence Terminologie & Ontologie : Théories et Applications, Toth 2009, Jun 2009, Annecy, France. 253 p |
Ontology building : an application in food risk analysis8.International Conference on Terminology and Artificial Intelligence, Nov 2009, Toulouse, France |
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Fuzzy annotation of web data tables driven by a domain ontology6. European Sematic Web Conference, May 2009, Heraklion, Greece |
Flexible querying of Web data for predictive modelling of risk in food6. International Conference on Predictive Modelling in Food, 2009, Washington, United States |
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Flexible SPARQL querying of Web data tables driven by an ontology8. International Conference on Flexible Querying and Answering Systems, Oct 2009, Roskilde, Denmark. 676 p |
Using fuzzy conceptual graph rules to map ontologies17. International Conference on Conceptual Structure, Jul 2008, Toulouse, France |
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Flexible querying of fuzzy RDF annotations using fuzzy CGs17. International Conference on Conceptual Structure, Jul 2008, Toulouse, France |
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Annotation sémantique floue de tableaux guidée par une ontologie7. Journées d’Extraction et de Gestion des Connaissances (EGC 2007), 2007, NA, France |
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Semantic annotation of data tables using a domain ontology10. International Conference on Discovery Science (DS'07), Oct 2007, Sendai, Japan |
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An ontology driven annotation of data tables8. International Conference on Web Information Systems Engineering (WISE 2007), Dec 2007, Nancy, France |
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Semantic annotation of Web data applied to risk in food5. International Conference on Predictive Modelling in Foods, Sep 2007, Athènes, Greece. ⟨10.1016/j.ijfoodmicro.2008.06.027⟩ |
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Fuzzy semantic approach for data integration applied to risk in food: an example about the cold chainIUFoST 13th World Congress of Food Sciences Technology, 2006, Nantes, France. ⟨10.1051/IUFoST:20060659⟩ |
Approximate querying of XML fuzzy data7. International Conference on Flexible Query Answering Systems, Jun 2006, Milan, France |
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Using fuzzy conceptual graphs to map ontologies5. International Conference on ODBASE, Oct 2006, Montpellier, France |
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The MIEL++ Architecture – When RDB, GCs and XML Meet for the Sake of Risk Assessment in Food ProductsICCS: International Conference on Conceptual Structures, Jul 2006, Aalborg, Denmark. pp.158-171, ⟨10.1007/11787181_12⟩ |
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A data warehouse that gathers several formalisms to capture data heterogeneity and incompleteness in the field of food microbiological safety1.Journée Francophone sur les Entrepôts de Données et l’Analyse en ligne (EDA 2005), 2005, NA, France |
Fuzzy semantic annotation of XML documentsInternational Workshop Data Integration and the Semantic Web, 2005, Porto, Portugal |
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Validation de graphes conceptuels4. Journées Extraction et Gestion des Connaissances, EGC'2004, 2004, Clermont-Ferrand, France |
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Towards flexible querying of XML imprecise data in a dataware house opened on the Web6. International Conference on FQAS (Flexible Querying and Answering Systems), 2004, Lyon, France. 511 p |
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Refinement of conceptual graphs9. International Conference on Conceptual Structures, ICCS'01, 2001, Standford, United States |
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Validation et réparation sémantique de graphes conceptuels12. Congrès Reconnaissance des Formes et Intelligence Artificielle, RFIA’2000, 2000, Paris, France. pp.205-214 |
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Constraints for validation of conceptual graphs5. EUROpean Conference on VAlidation and Verification of knowledge based systems, EUROVAV'99, 1999, Oslo, Norway. ⟨10.1007/978-1-4757-6916-6_6⟩ |
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A semantic validation of conceptual graphs6. International Conference on Conceptual Structures, ICCS'98, Aug 1998, Montpellier, France |
A Use Case of Data Integration in Food Production21st International Conference on Knowledge Engineering and Knowledge Management, EKAW, Nov 2018, Nancy, France |
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Florilege : a database gathering microbial phenotypes of food interest4. International Conference on Microbial Diversity 2017, Oct 2017, Bari, Italy. , 2017 |
Enrichissement d'une RTO par l'ajout de termes spécialisésEGC: Extraction et Gestion des Connaissances, Jan 2013, Toulouse, France. 13e Conférence Francophone sur l'Extraction et la Gestion des Connaissances, 2013 |
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Utilisation d'un outil de recherche d'information pour la mise en correspondance de thesaurus. Application aux sciences du vivantIC - 24èmes Journées francophones d'Ingénierie des Connaissances, Jul 2013, Lille, France. 2013, 24ème Journées Francophones d’Ingénierie des Connaissances, IC’2013 |
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Units of measure identification in unstructured scientific documents in microbial risk in foodIC 2013 - 24es Journées francophones d’Ingénierie des Connaissances, Atelier IN-OVIVE, Jul 2013, Lille, France. 2013 |
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Vers une méthode d’évolution d’une RTO dédiée à l’annotation de relations n-aires23. Journées francophones d’Ingénierie des Connaissances, 2012, Paris, France. 2012, 23ème Journées francophones d’ingénierie des connaissances |
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Semi-Automatic Loading of a Microbial Risk in Food Database Thanks to a Domain Ontology2012 EFFoST Annual Meeting, Nov 2012, Montpellier, France. Elsevier, pp.1, 2012 |
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La transition numérique dans la recherche et l'enseignement supérieur à l'horizon 2040Marco Barzman; Mélanie Gerphagnon; Olivier Mora. éditions Quae, 2020, 9782759231522. ⟨10.35690/978-2-7592-3153-9⟩ |
Pour un numérique au service de l'environnement. Bref aperçu de travaux en intelligence artificielleBénédicte Bévière-Boyer et Dorothée Dibie. Numérique, Droit et société, Dalloz, pp.69-73, 2022 |
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Validation and ExplanationMarquis Pierre, Papini Odile, Prade Henri. A Guided Tour of Artificial Intelligence Research, Springer, pp.707-731, 2020, Volume I: Knowledge Representation, Reasoning and Learning, 978-3-030-06164-7 |
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Ontology Alignment Using Web Linked Ontologies as Background KnowledgeFabrice Guillet; Bruno Pinaud; Gilles Venturini. Advances in Knowledge Discovery and Management, 665, Springer, pp.207-227, 2017, Studies in Computational Intelligence, 978-3-319-45762-8. ⟨10.1007/978-3-319-45763-5_11⟩ |
Validation et explicationPierre Marquis, Odile Papini, Henri Prade. PANORAMA DE L'INTELLIGENCE ARTIFICIELLE, 1, Cépaduès, chapitre 19, 2014, REPRÉSENTATION DES CONNAISSANCES ET FORMALISATION DES RAISONNEMENTS, 9782364930414 |
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Ontology-based integration of heterogeneous, incomplete and imprecise data dedicated to a decision support system in food safetyData Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction, IGI Global, 336 p., 2009, 9781605667560. ⟨10.4018/978-1-60566-756-0.ch005⟩ |
Démarche Open Science à l’INRA : application à l’aide à la sélection d’un emballage alimentaire2018 |
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Global Plant Extinction Risk Assessment Inform Novel Biodiversity Hotspots2023 |
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[WORK DOCUMENT] Towards interactive causal relation discovery driven by an ontology2018 |
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Transition numérique et pratiques de recherche et d’enseignement supérieur en agronomie, environnement, alimentation et sciences vétérinaires à l’horizon 2040.[0] Institut National de la Recherche Agronomique, Agreenium. 2019, 161 p |
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Rapport d'étape chantier entrepôt et annuaire institutionnels pour les données de la recherche[0] 2014, 18 p |