Data-driven understanding and refinement of schema mappings
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Foundations of Databases: The Logical Level
Foundations of Databases: The Logical Level
Schema Mapping as Query Discovery
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Lineage Tracing in a Data Warehousing System
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Representing and Querying Data Transformations
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
A survey of data provenance in e-science
ACM SIGMOD Record
Data exchange: semantics and query answering
Theoretical Computer Science - Database theory
Nested mappings: schema mapping reloaded
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Debugging schema mappings with routes
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Towards practical meta-querying
Information Systems
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
STBenchmark: towards a benchmark for mapping systems
Proceedings of the VLDB Endowment
Muse: Mapping Understanding and deSign by Example
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Updates in the AquaLogic Data Services Platform
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Perm: Processing Provenance and Data on the Same Data Model through Query Rewriting
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Provenance in Databases: Why, How, and Where
Foundations and Trends in Databases
Artemis: a system for analyzing missing answers
Proceedings of the VLDB Endowment
Laconic schema mappings: computing the core with SQL queries
Proceedings of the VLDB Endowment
TaPP'13 Proceedings of the 5th USENIX conference on Theory and Practice of Provenance
Proceedings of the 5th USENIX Workshop on the Theory and Practice of Provenance
Compact explanation of data fusion decisions
Proceedings of the 22nd international conference on World Wide Web
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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 query support for transformations, data, and all forms of provenance. We formally define transformation and mapping provenance, present an efficient implementation of both forms of provenance, and evaluate the resulting system through extensive experiments.