Wolfgang Gatterbauer

Wolfgang Gatterbauer is working on the theory of scalable data management. One of his goals is to extend the capabilities of modern data management systems in generic ways to allow them to support novel functionalities that seem hard at first. Examples of such functionalities are managing provenance, trust, explanations, and uncertain or inconsistent data. To support these functionalities, he is interested in understanding the fundamental algebraic properties that allow algorithms to scale with the size of data by leveraging structure in data: Given a large data or knowledge base, what types of questions can be answered efficiently? And what do we do about those that cannot?