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Covid-on-the-Web: Knowledge Graph and Services to Advance COVID-19 Research.

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When owl: sameAs is the Same: Experimenting Online Resolution of Identity with SPARQL Queries to Linked Open Data Sources., and . WEBIST, page 41-52. SCITEPRESS, (2021)Injecting Domain Knowledge in Electronic Medical Records to Improve Hospitalization Prediction., , , , and . ESWC, volume 11503 of Lecture Notes in Computer Science, page 116-130. Springer, (2019)Interface d'Aide à la Décision pour Prédire l'Hospitalisation de Patients et planifier les actions préventives pour Prévenir cet Événement., , , , , , and . RJCIA, page 54-58. (2019)Covid-on-the-Web: Exploring the COVID-19 scientific literature through visualization of linked data from entity and argument mining., , , , , , , , , and 1 other author(s). Quant. Sci. Stud., 2 (4): 1301-1323 (2021)Covid-on-the-Web: Graphe de Connaissances et Services pour faire Progresser la Recherche sur la COVID-19., , , , , , , , , and 3 other author(s). IC, page 113-121. (2021)Validating Ontologies Against OWL 2 Profiles with the SPARQL Template Transformation Language., , and . RR, volume 9898 of Lecture Notes in Computer Science, page 39-45. Springer, (2016)Évaluation des améliorations de prédiction d'hospitalisation par l'ajout de connaissances métier aux dossiers médicaux., , , , and . EGC, volume E-35 of RNTI, page 249-254. Éditions RNTI, (2019)Extending electronic medical records vector models with knowledge graphs to improve hospitalization prediction., , , , and . J. Biomed. Semant., 13 (1): 6 (2022)Knowledge graphs based extension of patients' files to predict hospitalization. (Prédiction d'hospitalisation par la génération de caractéristiques extraites de graphes de connaissances).. University of Côte d'Azur, Nice, France, (2020)Covid-on-the-Web: Knowledge Graph and Services to Advance COVID-19 Research., , , , , , , , , and 3 other author(s). ISWC (2), volume 12507 of Lecture Notes in Computer Science, page 294-310. Springer, (2020)