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The perm provenance management system in action
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International Conference on Management of Data archive
Proceedings of the 35th SIGMOD international conference on Management of data table of contents
Providence, Rhode Island, USA
DEMONSTRATION SESSION: Demonstration session: group B table of contents
Pages: 1055-1058  
Year of Publication: 2009
ISBN:978-1-60558-551-2
Authors
Boris Glavic  University of Zürich, Zürich, UNK, Switzerland
Gustavo Alonso  ETH Zürich, Zürich, Switzerland
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

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.



Collaborative Colleagues:
Boris Glavic: colleagues
Gustavo Alonso: colleagues