Using constraints to describe source contents in data integration systems
In data integration systems, information sources often have constraints, such as "all houses stored at a source have a unique address." These constraints are useful in computing answers to queries and facilitating information exchange.
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Published in | IEEE intelligent systems Vol. 18; no. 5; pp. 49 - 53 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Los Alamitos
IEEE
01.09.2003
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 1541-1672 1941-1294 |
DOI | 10.1109/MIS.2003.1234769 |
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Abstract | In data integration systems, information sources often have constraints, such as "all houses stored at a source have a unique address." These constraints are useful in computing answers to queries and facilitating information exchange. |
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AbstractList | In data integration systems, information sources often have constraints, such as "all houses stored at a source have a unique address." These constraints are useful in computing answers to queries and facilitating information exchange. In data integration systems, information sources often have constraints. These constraints are useful in computing answers to queries and facilitating information exchange. |
Author | Chen Li |
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Snippet | In data integration systems, information sources often have constraints, such as "all houses stored at a source have a unique address." These constraints are... In data integration systems, information sources often have constraints. These constraints are useful in computing answers to queries and facilitating... |
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SubjectTerms | Cities and towns Computation Constraint optimization Data integration Houses Information retrieval Information sources Mediation Queries Query processing Scalability Systems integration |
Title | Using constraints to describe source contents in data integration systems |
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