${\rm Y}$-DB: Managing scientific hypotheses as uncertain data

Abstract

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., ${\rm Y}$-DBs. It introduces hypothesis management as a promising new class of applications for p-DBs. We illustrate the potential of ${\rm Y}$-DB as a tool for deep predictive analytics.

To appear in PVLDB 2014