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EDBT
2010
ACM

Techniques for efficiently querying scientific workflow provenance graphs

11 years 2 months ago
Techniques for efficiently querying scientific workflow provenance graphs
A key advantage of scientific workflow systems over traditional scripting approaches is their ability to automatically record data and process dependencies introduced during workflow runs. This information is often represented through provenance graphs, which can be used by scientists to better understand, reproduce, and verify scientific results. However, while most systems record and store data and process dependencies, few provide easy-to-use and efficient approaches for accessing and querying provenance information. Instead, users formulate provenance graph queries directly against physical data representations (e.g., relational, XML, or RDF), leading to queries that are difficult to express and expensive to evaluate. We address these problems through a high-level query language tailored for expressing provenance graph queries. The language is based on a general model of provenance supporting scientific workflows that process XML data and employ update semantics. Query constructs ...
Manish Kumar Anand, Shawn Bowers, Bertram Ludä
Added 02 Sep 2010
Updated 02 Sep 2010
Type Conference
Year 2010
Where EDBT
Authors Manish Kumar Anand, Shawn Bowers, Bertram Ludäscher
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