Communications of the ACM
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
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
ACM SIGMOD Record
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
Effective keyword-based selection of relational databases
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
ProtocolDB: classifying resources with a domain ontology to support discovery
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
BiOnMap: a deductive approach for resource discovery
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
A Virtual Data Source for Service Grids
Globe '09 Proceedings of the 2nd International Conference on Data Management in Grid and Peer-to-Peer Systems
An efficient semantic web services matching mechanism
RED'09 Proceedings of the 2nd international conference on Resource discovery
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
A survey of schema-based matching approaches
Journal on Data Semantics IV
DILS'05 Proceedings of the Second international conference on Data Integration in the Life Sciences
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Selection-dynamic data integration employs a set of known data sources attached to an integration system. For answering a given query, suitable sources are selected from this set and dynamically integrated. This procedure requires a method to determine the degree of suitability of the individual data sources within a short timeframe, eliminating conventional schema matching approaches. We developed a registry component for our DynaGrid virtual data source which analyzes data sources upon registration and constructs a catalog of schema fragments grouped by content and cohesion. Given a concrete query, it provides a ranked list of data sources capable of contributing to answering the query. In this paper, we first give an overview of dynamic data integration and the DynaGrid virtual data source. We then present the design and the functionality of the registry component and illustrate its task in the overall process of selection-dynamic data integration.