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Pay-as-you-go Data Integration: Experiences and Recurring Themes

Paton, Norman W.; Belhajjame, Khalid; Embury, Suzanne; Fernandes, Alvaro A. A.; Maskat, Ruhaila (2016), Pay-as-you-go Data Integration: Experiences and Recurring Themes, in Freivalds, Rūsiņš Mārtiņš; Engels, Gregor; Catania, Barbara, SOFSEM 2016: Theory and Practice of Computer Science, Springer : Berlin Heidelberg, p. 81-92. 10.1007/978-3-662-49192-8_7

Type
Communication / Conférence
Date
2016
Conference title
42nd International Conference on Current Trends in Theory and Practice of Computer Science
Conference date
2016-01
Conference city
Harrachov
Conference country
Czech Republic
Book title
SOFSEM 2016: Theory and Practice of Computer Science
Book author
Freivalds, Rūsiņš Mārtiņš; Engels, Gregor; Catania, Barbara
Publisher
Springer
Published in
Berlin Heidelberg
ISBN
978-3-662-49191-1
Number of pages
630
Pages
81-92
Publication identifier
10.1007/978-3-662-49192-8_7
Metadata
Show full item record
Author(s)
Paton, Norman W.
School of Computer Science [Manchester]
Belhajjame, Khalid
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Embury, Suzanne
School of Computer Science [Manchester]
Fernandes, Alvaro A. A.
School of Computer Science [Manchester]
Maskat, Ruhaila
School of Computer Science [Manchester]
Abstract (EN)
Data integration typically seeks to provide the illusion that data from multiple distributed sources comes from a single, well managed source. Providing this illusion in practice tends to involve the design of a global schema that captures the users data requirements, followed by manual (with tool support) construction of mappings between sources and the global schema. This overall approach can provide high quality integrations but at high cost, and tends to be unsuitable for areas with large numbers of rapidly changing sources, where users may be willing to cope with a less than perfect integration. Pay-as-you-go data integration has been proposed to overcome the need for costly manual data integration. Pay-as-you-go data integration tends to involve two steps. Initialisation: automatic creation of mappings (generally of poor quality) between sources. Improvement: the obtaining of feedback on some aspect of the integration, and the application of this feedback to revise the integration. There has been considerable research in this area over a ten year period. This paper reviews some experiences with pay-as-you-go data integration, providing a framework that can be used to compare or develop pay-as-you-go data integration techniques.
Subjects / Keywords
data integration

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