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                            DATABASE SEMINAR
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                                Paolo Papotti
                   Qatar Computing Research Institute
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               NADEEF: A Generalized Data Cleaning System
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               Mercoledi', 11 settembre, 2013 -- h 10:00
                        **** Sala Riunioni ****
                       Dipartimento di Ingegneria
                          Universita' Roma Tre
                          Via Vasca Navale, 79
                             piano piano
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                                ABSTRACT
Data cleaning is an important problem and data quality rules are the most
promising way to face it with a declarative approach. Previous work has
focused on specific formalisms, such as functional dependencies (FDs),
conditional functional dependencies (CFDs), and matching dependencies (MDs),
and those have always been studied in isolation. Moreover, such techniques are
usually applied in a pipeline or interleaved. In this work we tackle the
problem in a novel system, NADEEF. NADEEF is an extensible, generic and
easy-to-deploy data cleaning system that distinguishes between a programming
interface and a core to achieve generality and extensibility. The programming
interface can be used to express many types of data quality rules beyond the
well known CFDs, MDs and ETL rules. The core algorithms can interleave
multiple types of rules to detect and repair data errors. Such holistic view
of the conflicts is the starting point for a novel definition of repair
context that allows us to compute repairs of better quality w.r.t. previous
approaches in the literature.
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