Talk / Overview

Despite the existence of vast amounts of biomedical data, these remain difficult to find and to productively reuse in machine learning and other Artificial Intelligence technologies. In this talk, I will discuss the role of the FAIR Guiding Principles to make AI-ready biomedical data, and their representation as knowledge graphs not only enables powerful ontology-backed semantic queries, but also can be used to predict missing information, as well as to check the quality of knowledge collected.

Talk / Speakers

Michel Dumontier

Professor, Maastricht University

Talk / Slides

Download the slides for this talk.Download ( PDF, 54956.36 MB)

Talk / Highlights

Data-Driven Discovery Science with FAIR Knowledge Graphs

With Michel DumontierPublished April 27, 2022

AMLD / Global partners