Webinar
Action DOING@MADICS and the working group DOING@DIAMS
Thursday 17 JUNE 2021 at 9:00 – 12:30
Twitter: https://twitter.com/NetworkDoing
Zoom : https://cnrs.zoom.us/j/94648003813
Code secret : VTi2Cg
PROGRAM (documents available on document tab of DOING’s page – at MADICS site)
09:00 – 09:05: Introduction
09: 05– 10:05: KEYNOTE: Building Scientific Knowledge Graphs from Scholarly Data Davide Buscaldi, Associate Professor, LIPN, Université Sorbonne Paris Nord
ABSTRACT. Scientific Knowledge Graphs are knowledge graphs that represent in a formal way the content of scientific texts such as academic papers and other kinds of raw scholarly data. In this talk, I will present some of the challenges that arise when analysing academic papers to extract knowledge from them, from a Natural Language Processing perspective, and the results that have been achieved by an international collaboration between the LIPN (Université Sorbonne Paris Nord), the Knowledge Media Institute (The Open University, Milton Keynes, UK) and the University of Cagliari (Italy). This ongoing collaboration has produced an open Knowledge Graph in the domain of Artificial Intelligence, the AIKG: https://scholkg.kmi.open.ac.uk/
Davide Buscaldi is associate professor at LIPN, Université Sorbonne Paris Nord & Part-time lecturer, École Polytechnique. He carries out his research work in the RCLN group (Representation of Knowledge and Natural Language) at LIPN (Laboratoire d’Informatique de Paris Nord), Université Sorbonne Paris Nord.
VIDEO AVAILABLE: HERE
10:05 – 10:20: Break
10:20 – 12:20: Organization of activities, working groups and follow-up of activities Motivational presentations:
- Information retrieval on medical data: techniques based on the hybridization of symbolic and statistical methods on text Christophe Rodriguez, IT, Big Data and Connected Objects Department, ESILV
- Extraction of information in the medical field: extraction of unsupervised relationships Anne-Lyse Minard-Forst, Université d’Orleans, LLL