Managing semantic heterogeneity in databases: a theoretical prospective
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Answering recursive queries using views
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
An incremental approach to schema integration by refining extensional relationships
Proceedings of the seventh international conference on Information and knowledge management
Semantic integration of heterogeneous information sources
Data & Knowledge Engineering - Special issue on heterogeneous information resources need semantic access
Reconciling schemas of disparate data sources: a machine-learning approach
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Global Viewing of Heterogeneous Data Sources
IEEE Transactions on Knowledge and Data Engineering
ODB-QOPTIMIZER: A Tool for Semantic Query Optimization in OODB
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
A Scalable Algorithm for Answering Queries Using Views
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
Views in a Large Scale XML Repository
Proceedings of the 27th International Conference on Very Large Data Bases
Joining the results of heterogeneous search engines
Information Systems
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In modern Internet/Intranet-based architectures, an increasing number of applications requires an integrated and uniform access to a multitude of heterogeneous and distributed data sources. In this paper, w e describe the artemis/momis system for the semantic integration and query optimization of heterogeneous structured and semistructured data sources.