Data Management

TRAMP: Understanding the Behavior of Schema Mappings Through Provenance

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Executive Summary

Though partially automated, developing schema mappings remains a complex and potentially error-prone task. In this paper, the authors 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 they provide query support for transformations, data, and all forms of provenance. They formally define transformation and mapping provenance, present an efficient implementation of both forms of provenance, and evaluate the resulting system through extensive experiments.

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