A federated architecture for information management
ACM Transactions on Information Systems (TOIS)
Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
The data warehouse toolkit: practical techniques for building dimensional data warehouses
The data warehouse toolkit: practical techniques for building dimensional data warehouses
Discovering and reconciling value conflicts for numerical data integration
Information Systems - Data extraction, cleaning and reconciliation
Efficient OLAP query processing in distributed data warehouses
Information Systems - Special issue: Best papers from EDBT 2002
The Definitive ANTLR Reference: Building Domain-Specific Languages
The Definitive ANTLR Reference: Building Domain-Specific Languages
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
A METHOD FOR ONTOLOGY CONFLICT RESOLUTION AND INTEGRATION ON RELATION LEVEL
Cybernetics and Systems
Data fusion: resolving data conflicts for integration
Proceedings of the VLDB Endowment
A framework for building logical schema and query decomposition in data warehouse federations
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
A generic framework for data acquisition and transmission
Advances in Engineering Software
| Hi-index | 12.05 |
A federation of data warehouses is understood as a set of data warehouses, which can be processed as a whole in the logic level. Physically, the federation does not gather data into one place. This paper presents a formal framework for data and knowledge processing in data warehouse federations. The management system for a data warehouse federation consists of an user interface enabling presentation of user queries, a program for query decomposition and a program for integrating knowledge coming from different data warehouses as the answers to a user query. We propose a model for query decomposition process and knowledge integration. It contains also the algorithm for knowledge inconstancy processing. This kind of inconsistency often occurs since very often the knowledge extracted from different data warehouses refers to the same subject, but is not consistent.