Le broute-en-train

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Owlready2 0.39 est disponible !

Owlready2 est un module Python pour la programmation orientée ontologie. Il permet de charger des ontologies OWL 2.0 et de les manipuler de manière transparente en Python.

Voici les modifications :

  • Make RDF triple deletion non-ontology-specific

  • Faster creation of individual with property value (e.g. MyClass(prop = [value]))

  • Bugfixes: - Fix entity.prop.remove(x) and entity.prop = x when existing values are defined in another ontology than the entity - Fix inverse property update when referenced entity is destroyed (thanks Franzlst) - Prevent reasoners from reparenting OWL base entities such as Thing - Fix the reloading of an ontology that has been destroyed, when a local filename is provided as the ontology base IRI - Fix destroying object property involved in a property chain - Fix reloading of ontologies when the IRI of the ontology was a local filename - Fix SELECT * in SPARQL coumpound queries - Fix Class.get_class_properties() when some properties are defined as restriction on an Inverse property - Fix for RDFlib 0.6.2 (supports bind() override optional argument)

La nouvelle version peut être téléchargé sur PyPI (Python Package Index) : https://pypi.python.org/pypi/Owlready2

La fourchette

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Chaussette foulque

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Ta maison à toi

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Dessin pas a jour

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Pipi pour papy

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À reculon

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dans Boulot

Nouvel article "Enabling patients to receive clinical practice guideline recommendations for hereditary cancer risk using chatbots, family history, application programming interfaces (API), ontologies, and Owlready2"

J'ai publié un nouvel article :

journal [j70] Ritchie JB, Frey L, Lamy JB, Bellcross C, Morrison H, Schiffman JD, Welch BM. Enabling patients to receive clinical practice guideline recommendations for hereditary cancer risk using chatbots, family history, application programming interfaces (API), ontologies, and Owlready2: System description. Preprint 2021

Les petites jambes

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Poussée 2

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dans Boulot

Nouvel article "Early prediction of all-cause clinical deterioration in general ward patients"

J'ai publié un nouvel article :

journalif [j73] Saab A, Abi Khalil C, Jammal M, Saikali M, Lamy JB. Early prediction of all-cause clinical deterioration in general ward patients: development and validation of a biomarker-based machine learning model derived from Rapid Response Team activations. Journal of Patient Safety 2022;18(6)

dans Boulot

Admis au concours de l'INSERM

J'ai été reçu au concours CRCN de l'INSERM !

Après 13 ans de bons et loyaux services à l'université, je vais donc passer chercheur à temps plein.

Pipi prout !

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