Tracing the lineage of view data in a warehousing environment
ACM Transactions on Database Systems (TODS)
On propagation of deletions and annotations through views
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Chimera: AVirtual Data System for Representing, Querying, and Automating Data Derivation
SSDBM '02 Proceedings of the 14th International Conference on Scientific and Statistical Database Management
MONDRIAN: Annotating and Querying Databases through Colors and Blocks
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Intensional associations between data and metadata
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
An annotation management system for relational databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Lossless compression of predicted floating-point geometry
Computer-Aided Design
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The description of the origins of a piece of data and the transformations by which it arrived in a database is called data provenance, lineage or pedigree. The two major approaches to represent provenance information use annotations and inversion. Annotations are flexible in representing diverse provenance metadata but the complete provenance data may outsize the data itself. The inversion method is concise by using a single inverse query or function but the provenance needs to be computed on-the-fly which can be expensive. This paper proposes a new approach of provenance storage which combines the two methods and is adaptive to storage constraint.