Programmed graph replacement systems
Handbook of graph grammars and computing by graph transformation
The PROGRES approach: language and environment
Handbook of graph grammars and computing by graph transformation
CPI: constraints-preserving inlining algorithm for mapping XML DTD to relational schema
Data & Knowledge Engineering - ER2000
NeT & CoT: translating relational schemas to XML schemas using semantic constraints
Proceedings of the eleventh international conference on Information and knowledge management
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
SchemaSQL - A Language for Interoperability in Relational Multi-Database Systems
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
A Uniform Approach to Inter-model Transformations
CAiSE '99 Proceedings of the 11th International Conference on Advanced Information Systems Engineering
Schema Evolution in Heterogeneous Database Architectures, A Schema Transformation Approach
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
Answering queries using views: A survey
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
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Pattern-Based Information Integration in Dynamic Environments
IDEAS '05 Proceedings of the 9th International Database Engineering & Application Symposium
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Data federation with ibm db2 information integrator v8.1
Data federation with ibm db2 information integrator v8.1
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To utilize the full potential of structured or semi-structured data stored across different information systems, users and applications must not be confronted directly with the individual, heterogeneous data sources, but instead be supplied with a customized integrated view on the data. Traditional information integration is relying on a human-driven process to accomplish this task. While feasible in static, closed-world scenarios, this approach fails in settings like the nascent data grids, which are characterized by a large, permanently changing set of autonomous data sources. We describe the end-to-end integration approach underlying our PALADIN project which aims to reduce and ultimately eliminate the dependency on human experts in the integration process in order to provide fast and cost-effective integration services for these dynamic environments.