SOURCERY: User Driven Multi-Criteria Source Selection

The SOURCERY system – an interactive Source Selection web application – was presented at the  CIKM 2018 conference in Torino, Italy.

With increasingly many possible data sources, data scientists are often only interested in a subset of available sources, where the data selected is the best fit for their purpose and needs. Sourcery looks to model a user’s preferences, regarding the relative importance between the set of criteria that are significant to him/her, and then find a source selection solution most aligned to his/her preferences. In this way, different solutions will be more appropriate for different users, in relation to his/her context and needs for the data.

To read the Demo paper Click Here, and to learn more and try out the demo Click Here. Any comments/questions/suggestions/bugs! get in touch with Ed Abel.