  We present Ver, a data discovery system that identifies project-join views
over large repositories of tables that do not contain join path information,
and even when input queries are inaccurate. Ver implements a reference
architecture to solve both the technical (scale and search) and human (semantic
ambiguity, navigating a large number of results) problems of view discovery. We
demonstrate users find the view they want when using Ver with a user study and
we demonstrate its performance with large-scale end-to-end experiments on
real-world datasets containing tens of millions of join paths.
