Paper Info
Title
Belief Revision In Uncertain Data Integration
Abstract
This paper studies the problem of integrating probabilistic uncertain information. Certain constraints are imposed by the semantics of integration, but there is no guarantee that they are satisfied in practical situations. We present a Bayesian-based approach to revise the probability distribution of the information in the sources in a systematic way to remedy this difficulty. The revision step is similar in spirit to tasks like data cleaning and record linkage and should be carried out before integration can be achieved for probabilistic uncertain data.
Year
DOI
Venue
2015
10.1007/978-3-319-19548-3_7
DATABASES THEORY AND APPLICATIONS
Keywords
Field
DocType
Information integration, Uncertain data, Probabilistic data, Belief revision
Record linkage,Information integration,Data mining,Computer science,Uncertain data,Probability distribution,Probabilistic logic,Belief revision,Semantics,Bayesian probability
Conference
Volume
ISSN
Citations 
9093
0302-9743
1
PageRank 
References 
Authors
0.36
23
1
Name
Order
Citations
PageRank
Fereidoon Sadri1846283.70