Spatio-temporal Information Systems in a Statistical Context
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Materializing Web Data for OLAP and DSS
WAIM '00 Proceedings of the First International Conference on Web-Age Information Management
A Software Architecture for XML-Based Metadata Interchange in Data Warehouse Systems
EDBT '02 Proceedings of the Worshops XMLDM, MDDE, and YRWS on XML-Based Data Management and Multimedia Engineering-Revised Papers
Novel mediator architectures for Grid information systems
Future Generation Computer Systems
BSML: A binding schema markup language for data interchange in problem solving environments
Scientific Programming
Novel mediator architectures for Grid information systems
Future Generation Computer Systems
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Mediators are a critical component of any data warehouse; they transform data from source formats to the warehouse representation while resolving semantic and syntactic conflicts. The close relationship between mediators and databases requires a mediator to be updated whenever an associated schema is modified. Failure to quickly perform these updates significantly reduces the reliability of the warehouse because queries do not have access to the most current data. This may result in incorrect or misleading responses, and reduce user confidence in the warehouse. Unfortunately, this maintenance may be a significant undertaking if a warehouse integrates several dynamic data sources. This paper describes a meta-data framework, and associated software, designed to automate a significant portion of the mediator generation task and thereby reduce the effort involved in adapting to schema changes. By allowing the DBA to concentrate on identifying the modifications at a high level, instead of reprogramming the mediator, turnaround time is reduced and warehouse reliability is improved.