Semantic integration of semistructured and structured data sources
ACM SIGMOD Record
Foundations of Databases: The Logical Level
Foundations of Databases: The Logical Level
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
Handling summary information in a database: derivability
SIGMOD '81 Proceedings of the 1981 ACM SIGMOD international conference on Management of data
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference 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
From Federated Databases to a Federated Data Warehouse System
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Two approaches to the integration of heterogeneous data warehouses
Distributed and Parallel Databases
Encyclopedia of Database Systems
Encyclopedia of Database Systems
Towards OLAP query reformulation in peer-to-peer data warehousing
DOLAP '10 Proceedings of the ACM 13th international workshop on Data warehousing and OLAP
Schema label normalization for improving schema matching
Data & Knowledge Engineering
NORMS: An automatic tool to perform schema label normalization
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
OLAP query reformulation in peer-to-peer data warehousing
Information Systems
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In recent years, novel approaches and architectures to support Data Warehouse integration (like the P2P Data Warehouse [1], also called Business Intelligence Network, or BIN) have been proposed. Although the concept has been defined from a theoretical point of view, until now no automatic or semi-automatic method that allows the integration of multidimensional information coming from heterogeneous Data Warehouses has been proposed. This paper proposes a method capable of exploiting dimension mappings between two or more multidimensional schemas in order to import and integrate heterogeneous DW instances subsets. The proposed method is based on a semi-automatic mapping generation technique previously developed, and on the dimension-chase algorithm defined in literature for integration purposes.