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| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | TRAMP: understanding the behavior of schema mappings through provenance |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Page Range | 1314 - 1325 |
| Event Title | VLDB '10: 36th International Conference on Very Large Data Bases |
| Event Type | conference |
| Event Location | Singapore |
| Event Start Date | September 13 - 2010 |
| Event End Date | September 17 - 2010 |
| Abstract Text | Though partially automated, developing schema mappings remains a complex and potentially error-prone task. In this paper, we present TRAMP (TRAnsformation Mapping Provenance), an extensive suite of tools supporting the debugging and tracing of schema mappings and transformation queries. TRAMP combines and extends data provenance with two novel notions, transformation provenance and mapping provenance, to explain the relationship between transformed data and those transformations and mappings that produced that data. In addition we provide meta-querying to support querying of transformations, data, and all forms of provenance. We formally define transformation and mapping provenance, present an efficient implementation of both forms of provenance along with meta-querying, and evaluate the resulting system. |
| Digital Object Identifier | 10.14778/1920841.1921003 |
| Other Identification Number | 1417; merlin-id:28 |
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