Why and Where: A Characterization of Data Provenance
ICDT '01 Proceedings of the 8th International Conference on Database Theory
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A survey of data provenance in e-science
ACM SIGMOD Record
Debugging schema mappings with routes
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
SPIDER: a schema mapPIng DEbuggeR
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Intensional associations between data and metadata
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
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ArchIS: an XML-based approach to transaction-time temporal database systems
The VLDB Journal — The International Journal on Very Large Data Bases
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Proceedings of the VLDB Endowment
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Proceedings of the 20th ACM international conference on Information and knowledge management
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Database schema upgrades are common in modern information systems, where the provenance of the schema is of much interest, and actually required to explain the provenance of contents generated by the database conversion that is part of such upgrades. Thus, an integrated management for data and metadata is needed, and the Archived Metadata and Provenance Manager (AM&PM) system is the first to address this requirement by building on recent advances in schema mappings and database upgrade automation. Therefore AM&PM (i) extends the Information Schema with the capability of archiving the provenance of the schema and other metadata, (ii) provides a timestamp based representation for the provenance of the actual data, and (iii) supports powerful queries on the provenance of the data and on the history of the metadata. In this paper, we present the design and main features of AM&PM, and the results of various experiments to evaluate its performance.