Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
MiniCon: A scalable algorithm for answering queries using views
The VLDB Journal — The International Journal on Very Large Data Bases
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
An Architecture for Dynamic Data Source Integration
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 09
The design and implementation of Grid database services in OGSA-DAI: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
Matching large schemas: Approaches and evaluation
Information Systems
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
Data source management and selection for dynamic data integration
RED'09 Proceedings of the 2nd international conference on Resource discovery
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Service Grids allow providing all kinds of resources ranging from simple storage space to complex functionality. Provision of data, however, is usually limited to connecting data sources to the Grid via service- or document-oriented interfaces. This approach hardly implements the idea of virtualized, easy-to-use resources. We propose a virtual data source that provides structured data according to user demands instead of forcing users to adapt to existing data sources. To this end, existing data sources are selected by their suitability for a given query. Their individual results are then dynamically integrated into the overall result presented to the user. In this paper, we present the background, the main concepts and the architecture of our virtual data source.