scholarly journals Overcoming Heterogeneity and Autonomy in Multidatabase Systems

2001 ◽  
Vol 167 (2) ◽  
pp. 132-172 ◽  
Author(s):  
Sharad Mehrotra ◽  
Rajeev Rastogi ◽  
Yuri Breitbart ◽  
Henry F Korth ◽  
Abraham Silberschatz
Keyword(s):  
Multidatabase Systems

Approximate Processing for Medical Record Linking and Multidatabase Analysis

2011 ◽  
pp. 2203-2217
Author(s):  
Qing Zhang
Keyword(s):  
Query Processing ◽  
Medical Record ◽  
Approximate Query Processing ◽  
Related Data ◽  
Multidatabase Systems ◽  
Aggregate Queries ◽  
Health Related ◽  
Approximate Query ◽  
Approximate Answers ◽  
Query Planning

In this article we investigate how approximate query processing (AQP) can be used in medical multidatabase systems. We identify two areas where this estimation technique will be of use. First, approximate query processing can be used to preprocess medical record linking in the multidatabase. Second, approximate answers can be given for aggregate queries. In the case of multidatabase systems used to link health and health related data sources, preprocessing can be used to find records related to the same patient. This may be the first step in the linking strategy. If the aim is to gather aggregate statistics, then the approximate answers may be enough to provide the required answers. At least they may provide initial answers to encourage further investigation. This estimation may also be used for general query planning and optimization, important in multidatabase systems. In this article we propose two techniques for the estimation. These techniques enable synopses of component local databases to be precalculated and then used for obtaining approximate results for linking records and for aggregate queries. The synopses are constructed with restrictions on the storage space. We report on experiments which show that good approximate results can be obtained in a much shorter time than performing the exact query.

Semantic Integration in Multidatabase Systems

2011 ◽  
pp. 420-439
Author(s):  
Te-Wei Wang ◽  
Kenneth E. Murphy
Keyword(s):  
Semantic Integration ◽  
Main Issue ◽  
Database Integration ◽  
Multidatabase Systems ◽  
Semantic Conflict ◽  
Semantic Conflicts

This chapter reviews briefly the semantic integration issues in multidatabase development and provides a standardized representation for classifying semantic conflicts. We begin by summarizing the methods and issues in multidatabase design. From the perspective of database integration, we identify that semantic conflict is the main issue. We explore the idea further by examining semantic conflicts and propose taxonomy to classify semantic conflicts in different groups. This taxonomy is then evaluated by two different methods. Finally, we conclude by discussing the limits of database integration and how this challenge may be addressed.

An architecture for multidatabase systems based on CORBA and XML

2002 ◽  
Author(s):  
Li Bing ◽  
Lu ZhengDing ◽  
Xiao WeiJun ◽  
Li RuiXuan ◽  
Zhang Wei ◽  
...  
Keyword(s):  
Multidatabase Systems
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