doi.org
October 2018 • E. W. Abel, John Keane, Norman W. Paton, Alvaro A. A. Fernandes, Martin Koehler, Νικόλαος Κωνσταντίνου, Nurzety A. Azuan, Suzanne M. Embury
Data scientists are usually interested in a subset of sources with<br/>properties that are most aligned to intended data use. The SOURCERY<br/>system supports interactive multi-criteria user-driven source selection.<br/>SOURCERY allows a user to identify criteria they consider<br/>of importance and indicate their relative importance, and seeks a<br/>source selection result aligned to the user-supplied criteria preferences.<br/>The user is given an overview of the properties of the<br/>sources that are selected alo…