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Raphaël GAZZOTTI
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Documents
Researcher identifiers
rgazzott
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0000-0002-5618-9776
Presentation
**I am a Researcher at the Research Institutes of Sweden (RISE). I worked on the integration of knowledge from knowledge graphs to a vector representation of electronic medical records to prevent patient hospitalization in an application intended for both physicians and patients. Then I participated in the creation of a knowledge graph about COVID-19 virus containing named entities, arguments, and metadata from the scientific literature. More recently I worked on geospatial reasoning, smart building and ETL pipelines. I hold a PhD degree in Computer Science from Côtes d'Azur University and a degree in Biology.**
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Extending electronic medical records vector models with knowledge graphs to improve hospitalization predictionJournal of Biomedical Semantics, 2022, 13 (6), pp.20. ⟨10.1186/s13326-022-00261-9⟩
Journal articles
hal-03502001v1
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Covid-on-the-Web: Exploring the COVID-19 Scientific Literature through Visualization of Linked Data from Entity and Argument MiningQuantitative Science Studies, 2021, ⟨10.1162/qss_a_00164⟩
Journal articles
hal-03404580v1
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Covid-on-the-Web: Graphe de Connaissances et Services pour faire Progresser la Recherche sur la COVID-19IC 2021 - 32es Journées francophones d'Ingénierie des Connaissances (32st French Knowledge Engineering Conference), Maxime Lefrançois, Jun 2021, Bordeaux, France. pp.1-9
Conference papers
hal-03230741v1
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When owl:sameAs is the Same: Experimenting Online Resolution of Identity with SPARQL queries to Linked Open Data SourcesWEBIST 2021 - 17th International Conference on Web Information Systems and Technologies, Oct 2021, Virtual, France
Conference papers
hal-03301330v2
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Injection of Automatically Selected DBpedia Subjects in Electronic Medical Records to boost Hospitalization PredictionSAC 2020 - 35th ACM/SIGAPP Symposium On Applied Computing, Mar 2020, Brno, Czech Republic. ⟨10.1145/3341105.3373932⟩
Conference papers
hal-02389918v1
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Covid-on-the-Web: Knowledge Graph and Services to Advance COVID-19 ResearchISWC 2020 - 19th International Semantic Web Conference, Nov 2020, Athens / Virtual, Greece. ⟨10.1007/978-3-030-62466-8_19⟩
Conference papers
hal-02939363v1
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Interface d'Aide à la Décision pour Prédire l'Hospitalisation de Patients et planifier les Actions Préventives pour Prévenir cet ÉvénementRJCIA 2019 - Rencontres des Jeunes Chercheurs en Intelligence Artificielle PFIA 2019, Jul 2019, Toulouse, France. pp.54-58
Conference papers
hal-02157559v2
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Injecting Domain Knowledge in Electronic Medical Records to Improve Hospitalization PredictionESWC 2019 - 16th Extended Semantic Web Conference, Jun 2019, Portorož, Slovenia. pp.116--130, ⟨10.1007/978-3-030-21348-0_8⟩
Conference papers
hal-02064421v2
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Évaluation des améliorations de prédiction d'hospitalisation par l'ajout de connaissances métier aux dossiers médicauxEGC 2019 - 19ème Conférence Francophone sur l'Extraction et Gestion des connaissances, Jan 2019, Metz, France
Conference papers
hal-01967586v1
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Bottom-up enrichment of top-down ontologies through annotationICAIL Workshop on `MIning and REasoning with Legal texts' (MIREL 2017), Jun 2017, Londres, United Kingdom
Conference papers
hal-01834796v1
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Un validateur d'ontologies par rapport à des profils OWL implémenté dans le langage STTLPFIA 2017 - Atelier OWL Reasoning in Practice, Plate-Forme Intelligence Artificielle , Jul 2017, Caen, France. pp.11
Conference papers
hal-01559088v1
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Enhancing domain-specific ontologies at easeXLII CLEI | 46JAIIO, SAOA17 - Conferencia Latinoamericana de Informática | Jornadas Argentinas de Informática, Simposio Argentino de Ontologías y sus Aplicaciones, Sep 2017, Córdoba, Argentina
Conference papers
hal-01626620v1
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Validating Ontologies against OWL 2 Profiles with the SPARQL Template Transformation Language10th International Conference on Web Reasoning and Rule Systems (RR 2016), Sep 2016, Aberdeen, United Kingdom
Conference papers
hal-01349382v1
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