Title :
Classifying schematic and data heterogeneity in multidatabase systems
Author :
Kim, Won ; Seo, Jungyun
Author_Institution :
UniSQL Inc., Austin, TX, USA
Abstract :
A complete framework for enumerating and classifying the types of multidatabase system (MDBS) structural and representational discrepancies is developed. The framework is structured according to a relational database schema and is both practical and complete. It was used to build the UniSQL/M commercial multidatabase system. This MDBS was built over Structured-Query-Language-based relational database systems and a unified relational and object-oriented database system named UniSQL/X. However, the results are substantially applicable to heterogeneous database systems that use a nonrelational data model (for example, an object-oriented data model) as the common data model and allow the formulation of queries directly against the component database schemas.<>
Keywords :
data integrity; distributed databases; object-oriented databases; query languages; relational databases; UniSQL/M; data heterogeneity; multidatabase systems; object-oriented database system; relational database schema; representational discrepancies; Cities and towns; Data engineering; Data models; Database languages; Database systems; File systems; Intelligent networks; Libraries; Proposals; Relational databases;