You are provided with the abstract of a scientific paper and the abstracts of the papers it references. Your task is to write a Related Work section for the main paper. This section should concisely summarize and integrate the key points from the cited abstracts, reflecting how they relate to the main paper's contributions and context. In your summary, use numerical citation markers like [1], [2], etc., to refer to the corresponding papers.

Main 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., @math -DBs. It introduces hypothesis management as a promising new class of applications for p-DBs. We illustrate the potential of @math -DB as a tool for deep predictive analytics.

Cited Abstract(s):
[1]: Note: Chapter 6 Reference EPFL-CHAPTER-167070 Record created on 2011-06-22, modified on 2017-05-12
U-relations and p- @math WSA were developed in the influential MayBMS project. http: maybms.sourceforge.net As implied by its design principles, e.g., compositionality and the ability to introduce uncertainty, MayBMS ' query language @math [1] fits well to hypothesis management. Noteworthy, the repair @math key operation gives rise to alternative worlds as maximal-subset repairs of an argument key. We shall look at it from the point of view of p-DB design, for which no methodology has yet been proposed.