GAZZOTTI , Raphaël

The use of electronic medical records (EMRs) and electronic prescribing are priorities in the various European action plans on connected health. The development of the EMR is a tremendous source of data; it captures all symptomatic episodes in a patient's life and should lead to improved medical and care practices, as long as automatic...

Equivalence links are the cornerstone of Linked Data and their integration. However, it is not easy to establish and manipulate them, since the Web is always evolving with datasets emerging and disappearing. Inconsistencies may also be present on the Web, leading to erroneous assertions and inferences. We propose a method to identify owl:sameAs...

Dans cet article, nous abordons la question de recherche générale Comment exprimer des contraintes sur des données RDF et comment vérifier qu'un graphe RDF satisfasse un certain nombre de contraintes ? Nous nous concentrons sur le cas particulier de l'expression des contraintes telles que définies par les profils de OWL 2 et nous vérifions ces...

In this paper we address the general research question of How can we express constraints on RDF data and how can we check that an RDF graph satisfies some given constraints? and we focus on expressing constraints defining OWL 2 profiles and checking these constraints for OWL validation. We propose an approach based on the SPARQL Template...

We present a methodology to enhance domain-specific ontologies by (i) manual annotation of texts with the concepts in the domain ontology, (ii) matching annotated concepts with the closest YAGO-Wikipedia concept and (iii) using concepts from other ontologies that cover complementary domains. This method reduces the difficulty of aligning...

Background: Artificial intelligence methods applied to electronic medical records (EMRs) hold the potential to help physicians save time by sharpening their analysis and decisions, thereby improving the health of patients. On the one hand, machine learning algorithms have proven their effectiveness in extracting information and exploiting...

Electronic medical records (EMR) contain key information about the different symptomatic episodes that a patient went through. They carry a great potential in order to improve the well-being of patients and therefore represent a very valuable input for artificial intelligence approaches. However, the explicit knowledge directly available...

Although there are many medical standard vocabularies available, it remains challenging to properly identify domain concepts in electronic medical records. Variations in the annotations of these texts in terms of coverage and abstraction may be due to the chosen annotation methods and the knowledge graphs, and may lead to very different...

The knowledge available through electronic medical records (EMR) themselves remains limited by the fact the features used by a machine learning algorithms from a text alone do not contain all the implicit information known by a domain expert. We propose and evaluate the ontological augmentations of features extracted from textual information...

We present a methodology to enhance domain-specific ontologies by (i) addressing a manual annotation of texts with the concepts in the domain ontology, (ii) matching the annotated concepts with the closest YAGO-Wikipedia concept available, and (iii) using concepts from other ontologies that cover complementary domains. This method reduces the...

Physicians are confronted with a constant increase in the number of their patients given the numerus clausus imposed on medical studies in France. In addition, the overall aging of the population requires them to treat patients with many diseases (comorbidity), which complicates the management of patients since polypharmacy implies the...

The unprecedented mobilization of scientists, consequent of the COVID-19 pandemics, has generated an enormous number of scholarly articles that is impossible for a human being to keep track and explore without appropriate tool support. In this context, we created the Covid-on-the-Web project, which aims to assist the access, querying, and sense...

Le projet Covid-on-the-Web permet aux chercheurs d'accéder à la littérature relative à la famille des coronavirus, de l'interroger et d'en extraire des connaissances. Il s'aligne sur des besoins concrets formulés par des instituts de santé et de recherche. Ainsi, il adapte, combine et étend des outils destinés à traiter, analyser et enrichir le...

The Covid-on-the-Web project allows scientists to access, query and extract knowledge from the literature on the coronavirus family. It is aligned with concrete needs formulated by health and research institutes. Thus, it adapts, combines and extends tools designed to process, analyze and enrich the CORD-19 corpus, that gathers 100,000+...

Scientists are harnessing their multidisciplinary expertise and resources to fight the COVID-19 pandemic. Aligned with this mind-set, the Covid-on-the-Web project aims to allow biomedical researchers to access, query and make sense of COVID-19 related literature. To do so, it adapts, combines and extends tools to process, analyze and enrich the...