Integration of Probabilistic Information

被引：0
|
作者：
Sadri, Fereidoon [1 ]
Tallur, Gayatri [1 ]
机构：
[1] Univ N Carolina, Dept Comp Sci, Greensboro, NC 27412 USA
来源：
DATABASES THEORY AND APPLICATIONS, (ADC 2016) | 2016年 / 9877卷
关键词：
Data integration; Probabilistic data; Uncertain data; Probabilistic relation model; DATABASES;
D O I：
10.1007/978-3-319-46922-5_14
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We study the problem of data integration from sources that contain probabilistic uncertain information. Data is modeled by possible-worlds with probability distribution, compactly represented in the probabilistic relation model. Integration is achieved efficiently using the extended probabilistic relation model. We study the problem of determining the probability distribution of the integration result. It has been shown that, in general, only probability ranges can be determined for the result of integration. We show that under intuitive and reasonable assumptions we can determine the exact probability distribution of the result of integration. Our methodologies are presented in possible-worlds as well as probabilistic-relation frameworks.
引用
收藏
页码：179 / 190
页数：12
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