License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
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DOI: 10.4230/DFU.Vol5.10452.217
URN: urn:nbn:de:0030-drops-42952
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Ioannou, Ekaterini ; Staworko, Slawek

Management of Inconsistencies in Data Integration

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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.

BibTeX - Entry

  author =	{Ekaterini Ioannou and Slawek Staworko},
  title =	{{Management of Inconsistencies in Data Integration}},
  booktitle =	{Data Exchange, Integration, and Streams},
  pages =	{217--225},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-939897-61-3},
  ISSN =	{1868-8977},
  year =	{2013},
  volume =	{5},
  editor =	{Phokion G. Kolaitis and Maurizio Lenzerini and Nicole Schweikardt},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-42952},
  doi =		{10.4230/DFU.Vol5.10452.217},
  annote =	{Keywords: Data integration, Consistent query answers, Resolution of inconsistencies}

Keywords: Data integration, Consistent query answers, Resolution of inconsistencies
Collection: Data Exchange, Integration, and Streams
Issue Date: 2013
Date of publication: 18.10.2013

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