MayBMS: A Possible Worlds Base Management System

Query language support for incomplete information in the MayBMS system

MayBMS [4, 1, 3, 2] is a data management system for incomplete information developed at Saarland University. Its main features are a simple and compact representation system for incomplete information and a language called I-SQL with explicit operations for handling uncertainty. MayBMS is currently an extension of PostgreSQL and manages both complete and incomplete data and evaluates I-SQL quer...

MayBMS: A System for Managing Large Uncertain and Probabilistic Databases

MayBMS is a state-of-the-art probabilistic database management system that has been built as an extension of Postgres, an open-source relational database management system. MayBMS follows a principled approach to leveraging the strengths of previous database research for achieving scalability. This article describes the main goals of this project, the design of query and update language, effici...

Efficient Updates of Uncertain Databases

Uncertain databases have evolved as an active area of database research, surveyed, for example, in [10].The possible worlds semantics [1] is commonly used to deal with uncertain data. Several representation systems for uncertain databases have been proposed to provide efficient storage and query facilities for a potentially big number of possible worlds, see, e.g., [14,4,8]. Antova et al. intro...

MayBMS: A Probabilistic Database System User Manual

Best of Both Worlds; Comment on “(Re) Making the Procrustean Bed? Standardization and Customization as Competing Logics in Healthcare”

This article builds on Mannion and Exworthy’s account of the tensions between standardization and customization within health services to explore why these tensions exist. It highlights the limitations of explanations which root them in an expression of managerialism versus professionalism and suggests that each logic is embedded in a set of ontological, epistemological and moral commitments wh...