Name
Abstract | ||
|---|---|---|
Selected semantic annotation on raw provenance data can help bridge the gap between low level provenance events (e.g., service invocations, data creation, message passing) and the high-level view that the user has of his/her investigation (e.g., data retrieval and analysis). In this initial investigation we added semantically annotated provenance to the Life Science Grid, a cyber-infrastructure framework supporting interactive data exploration and automated data analysis tools, through (i) automated data provenance collection and (ii) automated semantic enrichment of the collected provenance metadata. We use a paradigmatic life sciences use case of interactive data exploration to show that semantically annotated provenance can help users recognize the occurrence of specific patterns of investigation from an otherwise low-level sequence of elementary interaction events. |
Year | Venue | Keywords |
|---|---|---|
2009 | SWPM | provenance,semantic annotation,- life sciences,message passing,information retrieval,data analysis,use case,data retrieval |
Field | DocType | Citations |
Analysis tools,Metadata,World Wide Web,Information retrieval,Semantic annotation,Data exploration,Computer science,Data retrieval,Provenance,Message passing,Grid,Database | Conference | 1 |
PageRank | References | Authors |
0.42 | 8 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Cao | 1 | 85 | 12.64 |
| Beth Plale | 2 | 1837 | 142.80 |
| Girish H. Subramanian | 3 | 373 | 24.47 |
| Paolo Missier | 4 | 1287 | 100.48 |
| Carole Goble | 5 | 7252 | 788.90 |
| Yogesh Simmhan | 6 | 1904 | 134.15 |