Abstract | ||
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This demonstration presents an interactive provenance browser for visualizing and querying data dependency (lineage) graphs produced by scientific workflow runs. The browser allows users to explore different views of provenance as well as to express complex and recursive graph queries through a high-level query language (QLP). Answers to QLP queries are lineage preserving in that queries return sets of lineage dependencies (denoting provenance graphs), which can be further queried and visually displayed (as graphs) in the browser. By combining provenance visualization, navigation, and query, the provenance browser can enable scientists to more easily access and explore scientific workflow provenance information. |
Year | DOI | Venue |
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2010 | 10.1109/ICDE.2010.5447741 | Data Engineering |
Keywords | Field | DocType |
online front-ends,query languages,workflow management software,data dependency graphs,high-level query language,provenance browser,provenance navigation,provenance query,provenance visualization,scientific workflow provenance graphs | Data structure,Query language,Data visualization,Data dependency,World Wide Web,Information retrieval,XML,Visualization,Computer science,Workflow,RDF,Database | Conference |
ISSN | ISBN | Citations |
1084-4627 | 978-1-4244-5444-0 | 14 |
PageRank | References | Authors |
0.75 | 2 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Manish Kumar Anand | 1 | 243 | 12.15 |
Shawn Bowers | 2 | 1223 | 86.44 |
Bertram Ludäscher | 3 | 1879 | 239.67 |