We are delighted to announce that Efi Tsamoura will give a Keynote at the 20th Edition of ESWC titeled
Reasoning at Scale: Why, How and What’s Next.
Abstract: Can we reason over knowledge graphs consisting of billions of facts using commodity hardware? And what if the underlying facts are true only with some probability? While the above questions originally concerned the data management community, the efforts to incorporate symbolic knowledge into deep models, as well as the rise of Web-scale probabilistic knowledge bases, sent a strong message: we need reasoning techniques that, firstly, can scale and, secondly, can support uncertainty under well-established semantics.
In this talk, Efi will present reasoning techniques that allow us to answer positively the above two questions: in the absence of uncertainty, they can materialize knowledge graphs with 17 billion facts in less than 40 min using a single commodity machine; when the underlying facts are uncertain, e.g., they correspond to a deep classifier’s predictions, they support complex neuro-symbolic scenarios, meaning the difference between answering queries in seconds to not answering them at all even under approximations.