Name
Abstract | ||
|---|---|---|
One of the problems arising upon the evolution of a database schema is that some queries and views defined on the previous schema version might no longer work properly. Thus, evolving a database schema entails the redefinition of queries and views to adapt them to the new schema. Although this problem has been mainly raised in the context of traditional information systems, solutions to it are also advocated in other database-related areas, such as Data Integration, Web Data Integration, and Data Warehouses. The problem is a critical one, since industrial organizations often need to adapt their databases and data warehouses to frequent changes in the real world. In this article, we provide a survey of existing approaches and tools to the problem of adapting queries and views upon a database schema evolution; we also propose a classification framework to enable a uniform comparison method among many heterogeneous approaches and tools.
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Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2903726 | ACM Trans. Database Syst. |
Keywords | Field | DocType |
DB schema evolution, query synchronization, view synchronization | Data integration,Data mining,Conceptual schema,Star schema,Schema migration,Semi-structured model,Computer science,View,Database schema,Information schema,Database | Journal |
Volume | Issue | ISSN |
41 | 2 | 0362-5915 |
Citations | PageRank | References |
5 | 0.41 | 83 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Loredana Caruccio | 1 | 48 | 12.92 |
| Giuseppe Polese | 2 | 263 | 38.68 |
| Genoveffa Tortora | 3 | 1477 | 151.59 |