$Upsilon$-DB: Managing Scientific Hypotheses as Uncertain and Probabilistic Data

In view of the paradigm shift that makes science ever more data-driven, we consider deterministic scientific hypotheses as uncertain data. This vision comprises a probabilistic database (p-DB) design methodology for the systematic construction and management of U-relational hypothesis DBs, viz., $Upsilon$-DBs. From a software point of view, $Upsilon$-DB is a probabilistic data system designed for scientists and engineers to manage and evaluate (rate/rank) data-intensive scientific hypotheses. We illustrate the potential of $Upsilon$-DB as a tool for deep predictive analytics.