Name
Abstract | ||
|---|---|---|
Workflows are an accepted approach for constructing computational scientific experiments. Provenance capture during workflow execution captures the creation history of datasets. This record is essential to the long-term preservation and reuse of the data, and to making determinations of its quality. We are applying provenance collection to the open source Life Science Grid (LSG) using the Karma tool, and extending the information with semantic information using S-OGSA. The project raises interesting challenges in instrumentation, annotation, and visualization of provenance data. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/eScience.2008.104 | eScience |
Keywords | Field | DocType |
long-term preservation,creation history,provenance data,industry biochemical discovery cyberinfrastructure,provenance collection,semantic information,computational scientific experiment,accepted approach,life science grid,karma tool,interesting challenge,data models,data visualization,biochemistry,data visualisation,grid computing,karma,ontologies,web services | Ontology (information science),Data science,Data modeling,Data visualization,Grid computing,Visualization,Computer science,Cyberinfrastructure,Web service,Workflow | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Cao | 1 | 85 | 12.64 |
| Girish H. Subramanian | 2 | 373 | 24.47 |
| Sribabu Doddapaneni | 3 | 0 | 0.34 |
| Beth Plale | 4 | 1837 | 142.80 |