Knowledge graphs facilitate the discovery of information by organizing it into entities and describing the relationships of those entities to each other and to established ontologies. They are popular with search and e-commerce companies and could address the biggest problems in scientific communication, according to Sören Auer of the Technische Informationsbibliothek and Leibniz University of Hannover. In his NASIG vision session, Auer introduced attendees to knowledge graphs and explained how they could make scientific research more discoverable, efficient, and collaborative. Challenges include incentivizing researchers to participate and creating the training data needed to automate the generation of knowledge graphs in all fields of research.