Ikeda, Robert and Widom, Jennifer (2010) Panda: A System for Provenance and Data. In: TaPP '10.
Panda (for Provenance and Data) is a new project whose goal is to address some limitations in existing provenance systems. This short paper describes our overall plans for Panda, including: a model that fully integrates data-based and process-based provenance; a set of built-in operators for exploiting provenance after it has been captured; an ad-hoc query language over provenance together with data; supporting the range from fine-grained to coarse-grained provenance; and addressing optimization problems involving eager versus lazy evaluation and data caching.
|Item Type:||Conference or Workshop Item (Paper)|
|Deposited By:||Robert Ikeda|
|Deposited On:||04 Dec 2009 00:10|
|Last Modified:||10 Feb 2010 13:35|
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