Title
Mapping and cleaningMapping and cleaning
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Research group
Advanced Database Research and Modeling (ADReM)
Publication type
conferenceObject
Publication
New york :Ieee, [*]
Subject
Computer. Automation
Source (book)
IEEE 30th International Conference on Data Engineering (ICDE), Chicago, Ill., March 31 - April 4, 2014 / Cruz, Isabel F. [edit.]; et al.
ISSN
1084-4627
ISBN - Hoofdstuk
978-1-4799-3480-5
ISI
000355411500021
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
We address the challenging and open problem of bringing together two crucial activities in data integration and data quality, i.e., transforming data using schema mappings, and fixing conflicts and inconsistencies using data repairing. This problem is made complex by several factors. First, schema mappings and data repairing have traditionally been considered as separate activities, and research has progressed in a largely independent way in the two fields. Second, the elegant formalizations and the algorithms that have been proposed for both tasks have had mixed fortune in scaling to large databases. In the paper, we introduce a very general notion of a mapping and cleaning scenario that incorporates a wide variety of features, like, for example, user interventions. We develop a new semantics for these scenarios that represents a conservative extension of previous semantics for schema mappings and data repairing. Based on the semantics, we introduce a chase-based algorithm to compute solutions. Appropriate care is devoted to developing a scalable implementation of the chase algorithm. To the best of our knowledge, this is the first general and scalable proposal in this direction.
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Full text (open access)
https://repository.uantwerpen.be/docman/irua/fc50d6/126451.pdf
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