DocumentCode
1426614
Title
An evidential reasoning approach to attribute value conflict resolution in database integration
Author
Lim, Ee-Peng ; Srivastava, Jaideep ; Shekhar, Shashi
Author_Institution
Sch. of Appl. Sci., Nanyang Technol. Univ., Singapore
Volume
8
Issue
5
fYear
1996
fDate
10/1/1996 12:00:00 AM
Firstpage
707
Lastpage
723
Abstract
Resolving domain incompatibility among independently developed databases often involves uncertain information. DeMichiel (1989) showed that uncertain information can be generated by the mapping of conflicting attributes to a common domain, based on some domain knowledge. 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 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
Keywords
case-based reasoning; data integrity; deductive databases; probability; query processing; relational databases; uncertainty handling; Dempster-Shafer theory of evidence; attribute value conflict resolution; boundedness; closure; data summary; database integration; domain incompatibility; domain knowledge; evidence sets; evidential reasoning; extended relational operations; extended union operation; possible domain values; probability; query examples; relational model; rule of combination; source databases; uncertain information; Computer Society; Computer science; Dentistry; Helium; Relational databases; Uncertainty;
fLanguage
English
Journal_Title
Knowledge and Data Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1041-4347
Type
jour
DOI
10.1109/69.542025
Filename
542025
Link To Document