Agrawal, Parag and Benjelloun, Omar and Das Sarma, Anish and Hayworth, Chris and Nabar, Shubha and Sugihara, Tomoe and Widom, Jennifer (2006) Trio: A System for Data, Uncertainty, and Lineage. In: 32nd International Conference on Very Large Data Bases. VLDB 2006 (demonstration description), September 12-15, 2006, Seoul, Korea.
In the Trio project at Stanford, we are building a new kind of database management system: one in which data, uncertainty of the data, and data lineage are all first-class citizens. Trio is based on an extended relational model called ULDBs, and it supports a SQL-based query language called TriQL. Trio was motivated by a number of applications including scientific data management, data cleaning and integration, information extraction systems, and others. We have completed an initial working prototype of the Trio system. We will demonstrate our prototype by illustrating through two applications how uncertainty and lineage are represented in ULDBs, how TriQL operates over ULDBs both from the user and the system perspective, and in general how data, uncertainty, and lineage can work together to support interesting new functionality.
|Item Type:||Conference or Workshop Item (Paper)|
|Deposited By:||Import Account|
|Deposited On:||04 Jun 2006 17:00|
|Last Modified:||18 Dec 2008 14:45|
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