Engineering truly automated data integration and translation systems

This thesis presents an automated, data-driven integration process for relational databases. Whereas previous integration methods assumed a large amount of user involvement as well as the availability of database meta-data, we make no use of meta-data and little end user input. This is done using a...

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Main Author: Warren, Robert H
Language:en
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10012/3511
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spelling ndltd-LACETR-oai-collectionscanada.gc.ca-OWTU.10012-35112013-10-04T04:08:13ZWarren, Robert H2008-01-23T14:53:10Z2008-01-23T14:53:10Z2008-01-23T14:53:10Z2007-12-10http://hdl.handle.net/10012/3511This thesis presents an automated, data-driven integration process for relational databases. Whereas previous integration methods assumed a large amount of user involvement as well as the availability of database meta-data, we make no use of meta-data and little end user input. This is done using a novel join and translation finding algorithm that searches for the proper key / foreign key relationships while inferring the instance transformations from one database to another. Because we rely only on the relations that bind the attributes together, we make no use of the database schema information. A novel searching method allows us to search the database for relevant objects without requiring server side indexes or cooperative databases.enDatabase integrationEngineering truly automated data integration and translation systemsThesis or DissertationSchool of Computer ScienceDoctor of PhilosophyComputer Science
collection NDLTD
language en
sources NDLTD
topic Database integration
Computer Science
spellingShingle Database integration
Computer Science
Warren, Robert H
Engineering truly automated data integration and translation systems
description This thesis presents an automated, data-driven integration process for relational databases. Whereas previous integration methods assumed a large amount of user involvement as well as the availability of database meta-data, we make no use of meta-data and little end user input. This is done using a novel join and translation finding algorithm that searches for the proper key / foreign key relationships while inferring the instance transformations from one database to another. Because we rely only on the relations that bind the attributes together, we make no use of the database schema information. A novel searching method allows us to search the database for relevant objects without requiring server side indexes or cooperative databases.
author Warren, Robert H
author_facet Warren, Robert H
author_sort Warren, Robert H
title Engineering truly automated data integration and translation systems
title_short Engineering truly automated data integration and translation systems
title_full Engineering truly automated data integration and translation systems
title_fullStr Engineering truly automated data integration and translation systems
title_full_unstemmed Engineering truly automated data integration and translation systems
title_sort engineering truly automated data integration and translation systems
publishDate 2008
url http://hdl.handle.net/10012/3511
work_keys_str_mv AT warrenroberth engineeringtrulyautomateddataintegrationandtranslationsystems
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