Nearing the full launch of the lab on 1 June 2020, we want to share with you already now a special COVID-19 project in collaboration with the Central Bank of Italy, the University of Oxford, and DeepReason.ai:
With rapidly rising unemployment rates, it has become clear that the economic effect of COVID-19 has impacted many people's lives. Yet the economic problems of one company do not only have an effect on its own employees and shareholders, we know that companies form a complex network defined by a variety of relationships, among them ownership and control. Do these intricate relationships of companies lead to resilience, that is the power to resist crises like we are observing right now, or do they actually lead to increased risk?
Answering such a question requires sophisticated information systems that bring together a wide variety of information. Critically, it also requires such systems to intelligently reason on top of these massive amounts of data. Knowledge Graphs are one such artificial intelligence system. The term Knowledge Graphs was initially coined by Google, but in recent years has become a staple both in academia and in industry. Knowledge Graphs are able to represent knowledge about complex economic networks and their complex interactions. In addition, they allow for automated reasoning at a large scale, allowing a person to gain insights from this knowledge.
The Knowledge Graph Lab at TU Wien is part of the Database and Artificial Intelligence (DBAI) group at the Institute of Logic and Computation of the Faculty of Informatics. It is funded by the Vienna Science and Technology Fund (WWTF) under the Vienna Research Group scheme - "Vienna Research Group on Scalable Reasoning in Knowledge Graphs" (VRG18-013).
For inquiries please contact Dr. Emanuel Sallinger, head of the Knowledge Graph Lab at TU Wien, at <firstname.lastname@example.org>.