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Challenges in Automatic Schema Matching for Data Migration
| Content Provider | Semantic Scholar |
|---|---|
| Author | Drumm, Christian |
| Copyright Year | 2007 |
| Abstract | Data migration is the task of transforming and integrating data originating from one or multiple legacy applications or databases into a new one. Whenever a new software application is introduced to replace existing legacy applications or whenever the application landscape is consolidated the requirement to migrate data between applications arises. During the migration process, data needs to be extracted from the source systems, transformed and loaded into the target system. This process requires solving two difficult tasks: i) schema matching to identify similar or semantically related elements between the source and target systems and ii) mapping discovery to determine mapping expressions capable of transforming instance data from the source format to the target format. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.dis.uniroma1.it/~lenzerin/INFINT2007/material/Paper-Drumm.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |