Tracing the lineage of view data in a warehousing environment
ACM Transactions on Database Systems (TODS)
Provenance for nested subqueries
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
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
Research issues in data provenance
Proceedings of the 48th Annual Southeast Regional Conference
A framework for query refinement with user feedback
Journal of Systems and Software
On modeling query refinement by capturing user intent through feedback
ADC '12 Proceedings of the Twenty-Third Australasian Database Conference - Volume 124
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In this demonstration we present the Perm provenance management system (PMS). Perm is capable of computing, storing and querying provenance information for the relational data model. Provenance is computed by using query rewriting techniques to annotate tuples with provenance information. Thus, provenance data and provenance computations are represented as relational data and queries and, hence, can be queried, stored and optimized using standard relational database techniques. This demo shows the complete Perm system and lets attendants examine in detail the process of query rewriting and provenance retrieval in Perm, the most complete data provenance system available today. For example, Perm supports lazy and eager provenance computation, external provenance and various contribution semantics.