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A DATABASE INTEGRATION SYSTEM BASED ON GLOBAL VIEW GENERATION
Author(s) -
Uchang Park,
Ramon Lawrence
Publication year - 2007
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0002351404530456
Subject(s) - computer science , database , bottleneck , data warehouse , online analytical processing , data integration , database design , interoperability , database schema , view , distributed database , semantics (computer science) , database testing , semantic heterogeneity , data modeling , information retrieval , ontology based data integration , semantic web , world wide web , programming language , embedded system
Database integration is a common and growing challenge with the proliferation of database systems, data warehouses, data marts, and other OLAP systems in organizations. Although there are many methods of sharing data between databases, true interoperability of database systems requires capturing, comparing, and merging the semantics of each system. In this work, we present a database integration system that improves on the database federation architecture by allowing domain administrators to simply and efficiently capture database semantics. The semantic information is combined using a tool for producing a global view. Building the global view is the bottleneck in integration because there are few tools that support its construction, and these tools often require sophisticated knowledge and experience to operate properly. The technique and tool presented is simple and powerful enough to be used by all database administrators, yet expressive enough to support the majority of integration queries.

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