Thumbnail - No thumbnail

On Answering Why-Not Queries Against Scientific Workflow Provenance

Belhajjame, Khalid (2018), On Answering Why-Not Queries Against Scientific Workflow Provenance, Advances in Database Technology — EDBT 2018, OpenProceedings.org : Konstanz, p. 465-468. 10.5441/002/edbt.2018.48

View/Open
Type
Communication / Conférence
External document link
https://openproceedings.org/2018/conf/edbt/paper-285.pdf
Date
2018
Conference title
21st International Conference on Extending Database Technology
Conference date
2018-05
Conference city
Vienna
Conference country
Austria
Book title
Advances in Database Technology — EDBT 2018
Publisher
OpenProceedings.org
Published in
Konstanz
ISBN
978-3-89318-078-3
Number of pages
705
Pages
465-468
Publication identifier
Metadata
Show full item record
Author(s)
Belhajjame, Khalid
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
Why-not queries help scientists understand why a given data item was not returned by the executions of a given workflow. While answering such queries has been investigated for relational databases, there is only one proposal in this area for workflow provenance, viz. the Why-Not algorithm. This algorithm makes the assumption that the modules implementing the steps of the work!ow preserve the attributes of the input datasets. This is, however, not the case for all work!ow modules. We drop this assumption, and show in this paper how the Web can be harvested to answer why-not queries against workflow provenance.