Immutably Answering Why-Not Questions for Equivalent Conjunctive Queries

Nicole Bidoit 1, 2, 3, 4 Melanie Herschel 2, 3, 4, 1 Katerina Tzompanaki 2, 3, 4, 1
2 OAK - Database optimizations and architectures for complex large data
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Answering Why-Not questions consists in explaining to developers of complex data transformations or manipulations why their data transformation did not produce some specific results, although they expected them to do so. Different types of explanations that serve as Why-Not answers have been proposed in the past and are either based on the available data, the query tree, or both. Solutions (partially) based on the query tree are generally more efficient and easier to interpret by developers than solutions solely based on data. However, algorithms producing such query-based explanations so far may return different results for reordered conjunctive query trees, and even worse, these results may be incomplete. Clearly, this represents a significant usability problem, as the explanations developers get may be partial and developers have to worry about the query tree representation of their query, losing the advantage of using a declarative query language. As remedy to this problem, we propose the Ted algorithm that produces the same complete query-based explanations for reordered conjunctive query trees.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [9 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01095479
Contributor : Aikaterini Tzompanaki <>
Submitted on : Wednesday, December 17, 2014 - 3:36:05 PM
Last modification on : Monday, May 28, 2018 - 2:38:02 PM
Document(s) archivé(s) le : Monday, March 23, 2015 - 1:17:57 PM

File

Ted2014.pdf
Publisher files allowed on an open archive

Identifiers

  • HAL Id : hal-01095479, version 1

Collections

Citation

Nicole Bidoit, Melanie Herschel, Katerina Tzompanaki. Immutably Answering Why-Not Questions for Equivalent Conjunctive Queries. TaPP 2014 - 6th USENIX Workshop on the Theory and Practice of Provenance, Jun 2014, Cologne, Germany. ⟨hal-01095479⟩

Share

Metrics

Record views

350

Files downloads

155