PossDB: An Uncertainty Data Management System Based on Conditional Tables

• Main Author: Tartal, Mustafa Nihat
• Format: Others
• Published: 2013
• Online Access: http://spectrum.library.concordia.ca/977154/1/Tartal_MCompSc_S2013.pdf; Tartal, Mustafa Nihat <http://spectrum.library.concordia.ca/view/creators/Tartal=3AMustafa_Nihat=3A=3A.html> (2013) PossDB: An Uncertainty Data Management System Based on Conditional Tables. Masters thesis, Concordia University.

Due to the ever increasing importance of the Internet, interoperability of heterogeneous data sources is as well of ever increasing importance. Interoperability could be achieved for instance through data integration and data exchange. Common to both approaches is the need for the database management system to be able to store and query incomplete databases. In this thesis we present PossDB, a database management system capable of storing and querying incomplete databases. The system is a wrapper over PostgreSQL, and the query language is an extension of a subset of standard SQL. Our experimental results show that our system scales well, actually better than comparable systems.