Different modeling approaches have been proposed to overcome every design pitfall of the development of the different parts of a data warehouse (DW) system. However, they are all ...
The high cost of data consolidation is the key market inhibitor to the adoption of traditional information integration and data warehousing solutions. In this paper, we outline a n...
Paul Brown, Peter J. Haas, Jussi Myllymaki, Hamid ...
Due to the principal role of Data warehouses (DW) in making strategy decisions, data warehouse quality is crucial for organizations. Therefore, we should use methods, models, tech...
Manuel A. Serrano, Juan Trujillo, Coral Calero, Ma...
We present the first prototype of INDUS (Intelligent Data Understanding System), a federated, query-centric system for information integration and knowledge acquisition from dist...
Doina Caragea, Jie Bao, Jyotishman Pathak, Adrian ...
Data integration is the process that gives users access to multiple data sources though queries against a global schema. Semantic heterogeneity has been identified as the most imp...
Ladjel Bellatreche, Guy Pierra, Dung Nguyen Xuan, ...