Publication Type
Journal Article
Version
publishedVersion
Publication Date
10-1996
Abstract
Resolving domain incompatibility among independently developed databases often involves uncertain information. DeMichiel [1] showed that uncertain information can be generated by the mapping of conflicting attributes to a common domain, based on some domain knowledge. In this paper, we show that uncertain information can also arise when the database integration process requires information not directly represented in the component databases, but can be obtained through some summary of data. We therefore propose an extended relational model based on Dempster-Shafer theory of evidence [2] to incorporate such uncertain knowledge about the source databases. The extended relation uses evidence sets to represent uncertainty in information, which allow probabilities to be attached to subsets of possible domain values. We also develop a full set of extended relational operations over the extended relations. In particular, an extended union operation has been formalized to combine two extended relations using Dempster's rule of combination. The closure and boundedness properties of our proposed extended operations are formulated. We also illustrate the use of extended operations by some query examples.
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Publication
IEEE Transactions on Knowledge and Data Engineering
Volume
8
Issue
5
First Page
707
Last Page
723
ISSN
1041-4347
Identifier
10.1109/69.542025
Publisher
IEEE
Citation
LIM, Ee Peng; SRIVASTAVA, Jaideep; and SHEKHAR, Shashi.
An evidential reasoning approach to attribute value conflict resolution in database integration. (1996). IEEE Transactions on Knowledge and Data Engineering. 8, (5), 707-723.
Available at: https://ink.library.smu.edu.sg/sis_research/111
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1109/69.542025
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons