Management of inconsistencies in data integration

Ekaterini Ioannou, Slawek Staworko

Research output: Chapter in Book/Report/Conference proceedingChapterScientific

Abstract

Data integration aims at providing a unified view over data coming from various sources. One of the most challenging tasks for data integration is handling the inconsistencies that appear in the integrated data in an efficient and effective manner. In this chapter, we provide a survey on techniques introduced for handling inconsistencies in data integration, focusing on two groups. The first group contains techniques for computing consistent query answers, and includes mechanisms for the compact representation of repairs, query rewriting, and logic programs. The second group contains techniques focusing on the resolution of inconsistencies. This includes methodologies for computing similarity between atomic values as well as similarity between groups of data,
collective techniques, scaling to large datasets, and dealing with uncertainty that is related to inconsistencies.
Original languageEnglish
Title of host publicationData Exchange, Integration, and Streams
Pages217-225
Publication statusPublished - 2013

Fingerprint Dive into the research topics of 'Management of inconsistencies in data integration'. Together they form a unique fingerprint.

Cite this