|
ABSTRACT
The provenance of data has recently been recognized as central tothe trust one places in data. It is also important to annotation, todata integration and to probabilistic databases. Three workshops havebeen held on the topic, and it has been the focus of several researchprojects and prototype systems. This tutorial will attempt to providean overview of research in provenance in databases with a focus onrecent database research and technology in this area. This tutorialis aimed at a general database research audience and at people whowork with scientific data.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
|
| |
2
|
D. Bhagwat, L. Chiticariu, W. C. Tan, and G. Vijayvargiya. An Annotation Management System for Relational Databases. Very Large Data Bases (VLDB) Journal, 14(4):373--396, 2005.
|
| |
3
|
biodas.org. http://biodas.org.
|
 |
4
|
|
| |
5
|
S. Bowers, T. McPhillips, B. Ludäscher, S. Cohen, and S. B. Davidson. A Model for User-Oriented Data Provenance in Pipelined Scientific Workflow. In International Provenance and Annotation Workshop (IPAW'06), Chicago, Illinois, 2006.
|
 |
6
|
|
| |
7
|
P. Buneman, J. Cheney, and S. VanSummeren. On the Expressiveness of Implicit Provenance in Query and Update Languages. In International Conference on Database Theory (ICDT), pages 209--223, 2007.
|
| |
8
|
|
 |
9
|
|
| |
10
|
|
 |
11
|
|
| |
12
|
|
 |
13
|
|
| |
14
|
Harvard University Art Museums, Provenance Research. http://www.artmuseums.harvard.edu/provenance/, cited on 14 November 2006.
|
| |
15
|
Z. Ives, N. Khandelwal, A. Kapur, and M. Cakir. Orchestra: Rapid, Collaborative Sharing of Dynamic Data. In Conference on Innovative Database Systems Research (CIDR), 2005.
|
 |
16
|
|
| |
17
|
Y. L. Simmhan, B. Plale, and D. Gannon. A Framework for Collecting Provenance in Data-Centric Scientific Workflows. In International Conference on Web Service (ICWS), 2006.
|
| |
18
|
M. Szomszor and L. Moreau. Recording and Reasoning over Data Provenance in Web and Grid Services. In International Conference on Ontologies, Databases and Applications of SEmantics (ODBASE), pages 603--620, 2003.
|
| |
19
|
W. C. Tan. Containment of Relational Queries with Annotation Propagation. In Database Programming Languages (DBPL), pages 37--53, 2003.
|
 |
20
|
|
| |
21
|
Y. R. Wang and S. E. Madnick. A Polygen Model for Heterogeneous Database Systems: The Source Tagging Perspective. In Very Large Data Bases (VLDB), pages 519--538, 1990.
|
| |
22
|
J. Widom. Trio: A System for Integrated Management of Data, Accuracy, and Lineage. In Conference on Innovative Database Systems Research (CIDR), pages 262--276, 2005.
|
| |
23
|
S. C. Wong, S. Miles, W. Fang, P. Groth, and L. Moreau. Provenance-based Validation of E-Science Experiments. In Proceedings of Internation Semantic Web Conference (ISWC), pages 801--815, 2005.
|
| |
24
|
|
| |
25
|
J. Zhao, C. Wroe, C. Goble, R. Stevens, D. Quan, and M. Greenwood. Using Semantic Web Technologies for Representing e-Science Provenance. In International Semantic Web Conference (ISWC), pages 92--106, 2004.
|
CITED BY 3
|
|
|
|
|
Xiaoyong Chai , Ba-Quy Vuong , AnHai Doan , Jeffrey F. Naughton, Efficiently incorporating user feedback into information extraction and integration programs, Proceedings of the 35th SIGMOD international conference on Management of data, June 29-July 02, 2009, Providence, Rhode Island, USA
|
|
|
|
|