TRAMP: Understanding the Behavior of Schema Mappings throug...

TRAMP: Understanding the Behavior of Schema Mappings through Provenance

inproceedings
Boris Glavic, Gustavo Alonso, Renée J. Miller, Laura M. Haas
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.
TRAMP: Understanding the Behavior of Schema Mappings through Provenance
2010
Perm
VLDB '10: Proceedings of the 36th International Conference on Very Large Data Bases (to appear)
dbtg