Recently, there has been a renovated interest in functional dependencies due to the possibility of employing them in several advanced database operations, such as data cleaning, query relaxation, record matching, and so forth. In particular, the constraints defined for canonical functional dependencies have been relaxed to capture inconsistencies in real data, patterns of semantically related data, or semantic relationships in complex data types. In this paper, we have surveyed 35 of such functional dependencies, providing a classification criteria, motivating examples, and a systematic analysis of them.
%0 Journal Article
%1 caruccio2016relaxed
%A Caruccio, Loredana
%A Deufemia, Vincenzo
%A Polese, Giuseppe
%D 2016
%J IEEE Transactions on Knowledge and Data Engineering
%K data database dependency function relation survey
%N 1
%P 147-165
%R 10.1109/TKDE.2015.2472010
%T Relaxed Functional Dependencies—A Survey of Approaches
%U https://ieeexplore.ieee.org/abstract/document/7219433
%V 28
%X Recently, there has been a renovated interest in functional dependencies due to the possibility of employing them in several advanced database operations, such as data cleaning, query relaxation, record matching, and so forth. In particular, the constraints defined for canonical functional dependencies have been relaxed to capture inconsistencies in real data, patterns of semantically related data, or semantic relationships in complex data types. In this paper, we have surveyed 35 of such functional dependencies, providing a classification criteria, motivating examples, and a systematic analysis of them.
@article{caruccio2016relaxed,
abstract = {Recently, there has been a renovated interest in functional dependencies due to the possibility of employing them in several advanced database operations, such as data cleaning, query relaxation, record matching, and so forth. In particular, the constraints defined for canonical functional dependencies have been relaxed to capture inconsistencies in real data, patterns of semantically related data, or semantic relationships in complex data types. In this paper, we have surveyed 35 of such functional dependencies, providing a classification criteria, motivating examples, and a systematic analysis of them.},
added-at = {2023-09-12T15:08:33.000+0200},
author = {Caruccio, Loredana and Deufemia, Vincenzo and Polese, Giuseppe},
biburl = {https://www.bibsonomy.org/bibtex/28e85cfbcc46d3c0331c5489836293608/jaeschke},
description = {Relaxed Functional Dependencies—A Survey of Approaches | IEEE Journals & Magazine | IEEE Xplore},
doi = {10.1109/TKDE.2015.2472010},
interhash = {ba4758fc8cdb1a13a0ed057c559e4a68},
intrahash = {8e85cfbcc46d3c0331c5489836293608},
issn = {1558-2191},
journal = {IEEE Transactions on Knowledge and Data Engineering},
keywords = {data database dependency function relation survey},
month = jan,
number = 1,
pages = {147-165},
timestamp = {2023-09-12T15:11:25.000+0200},
title = {Relaxed Functional Dependencies—A Survey of Approaches},
url = {https://ieeexplore.ieee.org/abstract/document/7219433},
volume = 28,
year = 2016
}