👉Nous avons accueilli la journée #IA pr la découverte scientifique au #Loria. Matériaux, informatique, physique, finance, industrie du futur... de riches échanges entre laboratoires sur une thématique pluridisciplinaire ! Lorraine CNRS Centre-Est Centre Inria de l'Université de Lorraine @INS2I_CNRS

#ColloquiumLoria 🧠"#AI should collaborate with human intelligence" We are happy to welcome @IlaTiddi from Vrije Universiteit Amsterdam (inactief) for her presentation focusing on #HybridIntelligence, its visions and challenges! Lorraine @INS2I_CNRS CNRS Centre-Est Centre Inria de l'Université de Lorraine Mathieu d'Aquin

Great discussion with Mathieu d'Aquin, Miguel Couceiro, and students about #neurosymbolic #AI, #knowledgeGraphs, #machineLearning, and #analogical #reasoning!

Great research engineer position, doing data integration, knowledge graphs and ontologies in an international team: linkedin.com/hiring/jobs/34… located in Nancy, France.

We are looking for a great research engineer at LORIA (Nancy, France) building ontologies to organise research data on fragrances and perfumes with a large company. If you are interested, or know someone who is, you know what to do 😁 #hiring linkedin.com/jobs/view/3405…

Last day to apply!

The view from the stage #ESWC2023 2043 panel 😀

Happy to announce PyGraft, a configurable #Python tool to generate both synthetic #schemas and #knowledgeGraphs easily, supporting several RDFS and OWL constructs. Paper: arxiv.org/abs/2309.03685 Code: github.com/nicolas-hbt/py… (also available on PyPI) Nicolas Hubert Mathieu d'Aquin

If you need to test your things on graphs with different characteristics and relying on variably complex schemas/ontologies, PyGraft is for you! If you don't need to, I'm sure you want to :) github.com/nicolas-hbt/py… pygraft.readthedocs.io/en/latest/

This year at ESWC Conferences #eswc2023, Irene Celino and I had the great pleasure to host the "Next 20 Years" session full of entertaining and visionary presentations. We have written up a report as "The Time Traveler's Guide to Semantic Web Research" here: arxiv.org/abs/2309.13939

Check out our survey on inductive, zero-shot and few-shot link prediction in #KnowledgeGraph w/ Nicolas Hubert and Heiko Paulheim! We map tasks and propose a new taxonomy for knowledge scarce scenarii 📄 arxiv.org/abs/2312.04997 #artificialIntelligence #machineLearning #semanticWeb

Our paper "PyGraft: Configurable Generation of Synthetic #Schemas and #KnowledgeGraphs at Your Fingertips" has been accepted in ESWC Conferences #ESWC2024! Paper: arxiv.org/pdf/2309.03685… Code: github.com/nicolas-hbt/py… Nicolas Hubert Mathieu d'Aquin #machineLearning #neurosymbolicAI

Just like everybody else, it seems, I'm trying out bluesky... Not quite sure what I'll do there yet, but if you want to talk: bsky.app/profile/mdaqui…

"Because they are slightly atypical, there has not been as much work done on creating efficient implementations of self-organising maps (SOMs) as for other forms of neural networks." Mathieu d'Aquin fills in a notable gap in his focused, practical tutorial. towardsdatascience.com/efficient-larg…

In a clear and concise guide, Mathieu d'Aquin explains how to create efficient, large-dimensional self-organizing maps with PyTorch. towardsdatascience.com/efficient-larg…

Thanks Valentina Presutti , Marta Sabou and E. Motta for the journal of Web Semantics' special issue on knowledge graphs in AI applications. It gave me an opportunity to write about something I have been thinking about for a while: AI+KG for scientific discovery. sciencedirect.com/science/articl…