An Automatic Schema-Instance Approach for Merging Multidimensional Data Warehouses
Author:
Affiliation:
1. Universite Toulouse (Capitole), France
2. Université de Lyon, France
3. Universite de Toulouse-le-Mirail (Toulouse II), France
Funder
French National Research Agency (ANR)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3472163.3472268
Reference15 articles.
1. Marko Banek Boris Vrdoljak A. Min Tjoa and Zoran Skočir. 2007. Automating the Schema Matching Process for Heterogeneous Data Warehouses. In Data Warehousing and Knowledge Discovery. 45–54. Marko Banek Boris Vrdoljak A. Min Tjoa and Zoran Skočir. 2007. Automating the Schema Matching Process for Heterogeneous Data Warehouses. In Data Warehousing and Knowledge Discovery. 45–54.
2. S. Bergamaschi M. Olaru S. Sorrentino and M. Vincini. 2011. Semi-automatic Discovery of Mappings Between Heterogeneous Data Warehouse Dimensions. J. of Computing and Information Technology (dec 2011) 38–46. S. Bergamaschi M. Olaru S. Sorrentino and M. Vincini. 2011. Semi-automatic Discovery of Mappings Between Heterogeneous Data Warehouse Dimensions. J. of Computing and Information Technology (dec 2011) 38–46.
3. Generic Schema Matching;Bernstein A.;Ten Years Later. Proc. VLDB Endow.,2011
4. A Semantic Resource Based Approach for Star Schemas Matching
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