Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Information Integration Using Logical Views
ICDT '97 Proceedings of the 6th International Conference on Database Theory
Schema Evolution in Heterogeneous Database Architectures, A Schema Transformation Approach
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
Preserving mapping consistency under schema changes
The VLDB Journal — The International Journal on Very Large Data Bases
| Hi-index | 0.00 |
In information grid, data sources not only change their data, but also change their schema. On schema changing, the mapping may be left inconsistency. Thus, it is an essential issue to detect and update the inconsistency. We present a novel approach for adapting mappings as schema evolves. We propose a new kind of dependencies, called multi-relation dependencies. Multi-relation dependencies specify the dependent relationship between attributes across relations under a join condition. By the soundness and completeness of reasoning rules of multi-relation dependencies, our approach detects the minimal part of mapping which are inconsistent. And the algorithm adapts mappings on both local schema and global schema changing. Most current approaches do not distinguish the removal of key attributes from non-key attributes. Our study shows that removal of these two kinds of attributes results in different adaptations.