Auge, Tanja and Hanzig, Moritz and Heuer, Andreas (2022) ProSA Pipeline: Provenance conquers the Chase. In: ADBIS 2022, 5-8 Sep 2022, Turin, Italy. (Submitted)
Full text not available from this repository.Abstract
One of the main problems in data minimization is the determination of the relevant data set. Combining the Chase — a universal tool for transforming databases — and data provenance, a (anonymized) minimal sub-database of an original data set can be calculated. To ensure reproducibility, the evaluations performed on the original data set must be feasible on the sub-database, too. For this, we extend the Chase&Backchase with additional why-provenance to handle lost attribute values, null tuples, and duplicates occurring during the query evaluation and its inversion. In this article, we present the ProSA pipeline, which describes the method of data minimization using the Chase&Backchase extended with additional provenance
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Autorenart > DBIS-Publikationen |
| Depositing User: | Dbis Admin |
| Date Deposited: | 05 Jul 2022 07:33 |
| Last Modified: | 30 Aug 2022 16:16 |
| URI: | https://eprints.dbis.informatik.uni-rostock.de/id/eprint/1077 |
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