Addressing the provenance challenge using ZOOM

Concurrency and Computation: Practice and Experience

Volumn 20, Issue 5, 2008, Pages 497-506

  Cohen Boulakia, Sarah ^a   Biton, Olivier ^a   Cohen, Shirley ^a   Davidson, Susan ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Multi level of granularity for provenance; Scientific workflows; User views

Indexed keywords

DATA STRUCTURES; INFORMATION RETRIEVAL; MATHEMATICAL MODELS; USER INTERFACES;

MULTI-LEVEL OF GRANULARITY FOR PROVENANCE; PROVENANCE CHALLENGES; SCIENTIFIC WORKFLOWS; USER VIEWS;

QUERY PROCESSING;

EID: 41149161699     PISSN: 15320626     EISSN: 15320634     Source Type: Journal    
DOI: 10.1002/cpe.1232     Document Type: Article

References (22)

1. Oinn T, Addis M, Ferris J, Marvin D, Senger M, Greenwood M, Carver T, Glover K, Pocock MR, Wipat A, Li P. Taverna: A tool for the composition and enactment of bioinformatics workflows. Bioinformatics 2004; 20(17):3045-3054.
2. McPhillips TM, Bowers S. An approach for pipelining nested collections in scientific workflows. SIGMOD Record 2005; 34(3): 12-17.
3. Foster I, Voeckler J, Wilde M, Zhao Y. The virtual data grid: A new model and architecture for data-intensive collaboration. Conference on Innovative Data System Research (CIDR), Online Proceedings, 2003.
4. Cohen-Boulakia S, Lair S, Stransky N, Graziani S, Radvanyi F, Barillot E, Froidevaux C. Selecting biomedical data sources according to user preferences. Bioinformatics 2004; 20:i86-i93.
5. Simmhan Y, Plale B, Gannon D. A survey of data provenance in e-science. SIGMOD Record 2005; 34(3):31-36.
6. Buneman P, Khanna S, Tan W. Why and where: A characterization of data provenance. International Conference on Database Theory (LNCS, vol. 1973). Springer: Berlin, 2001; 316-330.
7. Chiticariu L, Chiew Tan W, Vijayvargiya G. Dbnotes: A post-it system for relational databases based on provenance. ACM SIGMOD Conference, International Conference on Management of Data, 2005; 942-944.
8. Widom J. Trio: A system for integrated management of data, accuracy, and lineage. CIDR, Conference on Innovative Data Systems Research. Online Proceedings, 2005; 262-276.
9. Zhao J, Wroe C, Goble C, Stevens R, Quan D, Greenwood M. Using semantic web technologies for representing e-science provenance. Semantic Web Conference (LNCS, vol. 3298). Springer: Berlin, 2004; 92-106.
10. Bowers S, McPhillips TM, Ludäscher B, Cohen S, Davidson SB. A model for user-oriented data provenance in pipelined scientific workflows. IPAW, International Provenance and Annotation Workshop, (LNCS, vol. 4145). Springer: Berlin, 2006; 133-147.
11. http://twiki.gridprovenance.org/bin/view/Challenge/UPenn.
12. Cohen S, Cohen-Boulakia S, Davidson S. Towards a model of provenance and user views in scientific workflows. Data Integration in the Life Science (LNBI, vol. 4075). Springer: Berlin, 2006; 264-279.
13. Bowers S, McPhillips T, Ludäscher B. Provenance in collection-oriented scientific workflows. Concurrency and Computation: Practice and Experience 2007; DOI: 10.1002/cpe.1226.
14. Ludäscher B, Podhorszki N, Altintas I, Bowers S, McPhillips T. From computation models to models of provenance: the RWS approach. Concurrency and Computation: Practice and Experience 2007; DOl: 10.1002/cpe.1234.
15. Zhao J, Goble C, Stevens R, Turi D. Mining Taverna's semantic web of provenance. Concurrency and Computation: Practice and Experience 2007; DOI: 10.1002/cpe.1231.
16. Kim J, Deelman E, Gil Y, Mehta G, Ratnakar V, Provenance trails in the Wings/Pegasus system. Concurrency and Computation: Practice and Experience 2007; DOI: 10.1002/cpe.1228.
17. Barga RS, Digiampietri LA. Automatic capture and efficient storage of e-Science experiment provenance. Concurrency and Computation: Practice and Experience 2007; DOI: 10.1002/cpe.1235.
18. Simmhan YL, Plale B, Gannon D. Querying capabilities of the Karma provenance framework. Concurrency and Computation: Practice and Experience 2007; DOI: 10.1002/cpe.1229.
19. Clifford B, Foster I, Hategan M, Stef-Praun T, Wilde M, Zhao Y. Tracking provenance in a virtual data grid. Concurrency and Computation: Practice and Experience 2007; DOI: 10.1002/cpe.1256.
20. Frew J, Metzger D, Slaughter P. Automatic capture and reconstruction of computational provenance. Concurrency and Computation: Practice and Experience 2007; DOI: 10.1002/cpe.1247.
21. Krenek A, Sitera J, Matyska L, Dvorak F, Mulac M, Ruda M, Salvet Z. gLite Job Provenance - a job-centric view. Concurrency and Computation: Practice and Experience 2007; DOI: 10.1002/cpe.1252.
22. Moreau L, Ludäscher B, Barga RS, Digiampietri L, Goldbeck J, Simmhan TL, Plale B, Krenek A, Turi D, Goble C, Stevens R, Zhao J, Freire J, Frew J, Metzger D, Slaughter P, Cohen-Boulakia S, Davidson S, Cohen S, Bowers S, McPhillips T, Podhorszki N, Altintas I, Holland D, Seltzer M, Deelman E, Gil Y, Kim J, Mehta G, Ratnakar V, Myers J, Futrelle J, Miles S, Munroe S, Groth P, Jiang S, Schuchardt K, Gibson T, Stephan E, Chin G, Clifford B, Wilde M, Foster I. The First Provenance Challenge. Concurrency and Computation: Practice and Experience 2007; DOI: 10.1002/cpe.1233.