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Author Herschel, Melanie
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Why-not question ♦ Data provenance ♦ Query analysis ♦ Query debugging
Abstract In analyzing and debugging data transformations, or more specifically relational queries, a subproblem is to understand why some data are not part of the query result. This problem has recently been addressed from different perspectives for various fragments of relational queries. The different perspectives yield different yet complementary explanations of such missing answers. This article first aims at unifying the different approaches by defining a new type of explanation, called $\textit{hybrid}$ explanation, that encompasses the variety of previously defined types of explanations. This solution goes beyond simply forming the union of explanations produced by different algorithms and is shown to be able to explain a larger set of missing answers. Second, we present $\textit{Conseil},$ an algorithm to generate hybrid explanations. $\textit{Conseil}$ is also the first algorithm to handle nonmonotonic queries. Experiments on efficiency and explanation quality show that $\textit{Conseil}$ is comparable and even outperforms previous algorithms. This article extends a previous short conference paper by providing proofs, additional theorems, and a detailed discussion of each step of the $\textit{Conseil}$ algorithm. It also significantly extends the experimental evaluation on efficiency and explanation quality.
ISSN 19361955
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-03-02
Publisher Place New York
e-ISSN 19361963
Journal Journal of Data and Information Quality (JDIQ)
Volume Number 5
Issue Number 3
Page Count 29
Starting Page 1
Ending Page 29


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Source: ACM Digital Library