Abstract
The ease with which one can copy and transform data on the Web, has made it increasingly difficult to determine the origins of a piece of data. We use the term data provenance to refer to the process of tracing and recording the origins of data and its movement between databases. Provenance is now an acute issue in scientific databases where it is central to the validation of data. In this paper we discuss some of the technical issues that have emerged in an initial exploration of thetopic.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
A. Woodruff and M. Stonebraker. Supporting fine-grained data lineage in adatabase visualization environment. In ICDE, pages 91–102, 1997.
Serge Abiteboul, Peter Buneman, and Dan Suciu. Data on the Web. From Relationsto Semistructured Data and XML. Morgan Kaufman, 2000.
T. Barsalou, N. Siambela, A. Keller, and G Wiederhold. Updating relationaldatabases through object-based views. In Proceedings ACM SIGMOD, May 1991.
Tim Bray, Jean Paoli, and C. M. Sperberg-McQueen. Extensible MarkupLanguage (XML) 1.0. World Wide Web Consortium (W3C), Feb 1998.http://www.w3.org/TR/REC-xml.
P. Buneman, S. Davidson, M. Liberman, C. Overton, and V. Tannen. Data provenance.http://db.cis.upenn.edu/~wctan/DataProvenance/precis/index.html.
Peter Buneman, Susan Davidson, Carmem Hara, Wenfei Fan, and Wang-Chiew Tan. Keys for XML. Technical report, University of Pennsylvania, 2000.http://db.cis.upenn.edu.
Peter Buneman, Sanjeev Khanna, and Wang-Chiew Tan. Why and Where: ACharacterization of Data Provenance. In International Conference on DatabaseTheory, 2001. To appear, available at http://db.cis.upenn.edu.
James Clark and Steve DeRose. XML Path Language (XPath). W3CWorkingDraft, November 1999. http://www.w3.org/TR/xpath.
Y. Cui and J. Widom. Practical lineage tracing in data warehouses. In ICDE,pages 367–378, 2000.
Jon Doyle. A truth maintenance system. Artificial Intelligence, 12:231–272, 1979.
R. G. G. Cattell et al, editor. The Object Database Standard: Odmg 2.0. MorganKaufmann, 1997.
A. Gupta and I. Mumick. Maintenance of materialized views: Problems, techniques,and applications. IEEE Data Engineering Bulletin, Vol. 18, No. 2, June1995., 1995.
Michael Lesk. Practical Digital Libraries: Books, Bytes and Bucks,. MorganKaufmann, July 1997.
Hartmut Liefke and Susan Davidson. View maintenance for hierarchical semistructureddata. In International Conference on Data Warehousing and KnowledgeDiscovery, 2000.
Susan Davidson and Chris Overton and Peter Buneman. Challenges in IntegratingBiological Data Sources. Journal of Computational Biology, 2(4):557–572, Winter1995.
World Wide Web Consortium (W3C). XML Schema Part 0: Primer, 2000.http://www.w3.org/TR/xmlschema-0/.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Buneman, P., Khanna, S., Tan, WC. (2000). Data Provenance: Some Basic Issues. In: Kapoor, S., Prasad, S. (eds) FST TCS 2000: Foundations of Software Technology and Theoretical Computer Science. FSTTCS 2000. Lecture Notes in Computer Science, vol 1974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44450-5_6
Download citation
DOI: https://doi.org/10.1007/3-540-44450-5_6
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41413-1
Online ISBN: 978-3-540-44450-3
eBook Packages: Springer Book Archive