Provenance Views in Workflows
Event details
| Date | 07.06.2012 |
| Hour | 14:00 › 15:00 |
| Speaker | Prof. Susan B. Davidson, University of Pennsylvania, USA |
| Location | |
| Category | Conferences - Seminars |
Abstract:
The ability to capture, manage and query workflow provenance is increasingly important for scientific as well as business applications. However provenance is a double-edged sword: Providing complete information in response to provenance queries may not only be overwhelming for the user, but may reveal confidential information. In this talk, we discuss the use of provenance views to alleviate these problems, and show how they can be used to address privacy concerns as well as to provide varying levels of provenance information, from fine-grained, database-style information to coarse-grained workflow-style information. We also discuss how provenance queries can be efficiently processed over provenance views.
Bio:
Susan B. Davidson received the B.A. degree in Mathematics from Cornell University, Ithaca, NY, in 1978, and the M.A. and Ph.D. degrees in Electrical Engineering and Computer Science from Princeton University, Princeton NJ, in 1980 and 1982. Dr. Davidson is the Weiss Professor and Chair of Computer and Information Science at the University of Pennsylvania, where she has been since 1982.
Dr. Davidson's research interests include database and web-based systems, scientific data management, and "big data". She co-developed the Kleisli data integration system (with Drs. Buneman, Tannen, Overton, and Wong), which was used for on-the-fly data integration of large genomic datasets. She has also developed techniques for provenance management in scientific workflow systems, including support for search and query, techniques for focusing user attention on "relevant'' provenance information, and marrying database-style and workflow-style provenance management using Pig-Latin to elucidate the function of black-box modules. More recently, she has focused on privacy concerns surrounding the capture and use of provenance information in both databases and workflow systems.
Dr. Davidson was the founding co-director of the Penn Center for Bioinformatics from 1997-2003, and the founding co-director of the Greater Philadelphia Bioinformatics Alliance. She holds a secondary appointment in the Department of Genetics, is an ACM Fellow, received the Lenore Rowe Williams Award (2002), and was a Fulbright Scholar and recipient of a Hitachi Chair (2004). She currently serves on the VLDB Executive Committee, the CRA Board, and is a member of the CCC Council.
The ability to capture, manage and query workflow provenance is increasingly important for scientific as well as business applications. However provenance is a double-edged sword: Providing complete information in response to provenance queries may not only be overwhelming for the user, but may reveal confidential information. In this talk, we discuss the use of provenance views to alleviate these problems, and show how they can be used to address privacy concerns as well as to provide varying levels of provenance information, from fine-grained, database-style information to coarse-grained workflow-style information. We also discuss how provenance queries can be efficiently processed over provenance views.
Bio:
Susan B. Davidson received the B.A. degree in Mathematics from Cornell University, Ithaca, NY, in 1978, and the M.A. and Ph.D. degrees in Electrical Engineering and Computer Science from Princeton University, Princeton NJ, in 1980 and 1982. Dr. Davidson is the Weiss Professor and Chair of Computer and Information Science at the University of Pennsylvania, where she has been since 1982.
Dr. Davidson's research interests include database and web-based systems, scientific data management, and "big data". She co-developed the Kleisli data integration system (with Drs. Buneman, Tannen, Overton, and Wong), which was used for on-the-fly data integration of large genomic datasets. She has also developed techniques for provenance management in scientific workflow systems, including support for search and query, techniques for focusing user attention on "relevant'' provenance information, and marrying database-style and workflow-style provenance management using Pig-Latin to elucidate the function of black-box modules. More recently, she has focused on privacy concerns surrounding the capture and use of provenance information in both databases and workflow systems.
Dr. Davidson was the founding co-director of the Penn Center for Bioinformatics from 1997-2003, and the founding co-director of the Greater Philadelphia Bioinformatics Alliance. She holds a secondary appointment in the Department of Genetics, is an ACM Fellow, received the Lenore Rowe Williams Award (2002), and was a Fulbright Scholar and recipient of a Hitachi Chair (2004). She currently serves on the VLDB Executive Committee, the CRA Board, and is a member of the CCC Council.
Links
Practical information
- General public
- Free
Organizer
- SuRI 2012
Contact
- Simone Muller