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A Quality Framework for Data Integration

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Data Security and Security Data (BNCOD 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6121))

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Abstract

Data Integration (DI) aims to combine heterogeneous distributed information and provide integrated interfaces for accessing such information. DI is a complex process and its quality may be difficult to assess. This paper aims to determine and improve DI quality by presenting an ontology-based quality framework focusing on the users’ requirements, extended with quality criteria and factors defined specifically in the DI context.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Systems, Birkbeck College, University of London, London, WC1E 7HX, UK

    Jianing Wang

Authors
  1. Jianing Wang
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Editor information

Editors and Affiliations

  1. School of Computing and Mathematical Sciences, Old Royal Naval College, University of Greenwich, Park Row, Greenwich, SE10 9LS, London, UK

    Lachlan M. MacKinnon

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Wang, J. (2012). A Quality Framework for Data Integration. In: MacKinnon, L.M. (eds) Data Security and Security Data. BNCOD 2010. Lecture Notes in Computer Science, vol 6121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25704-9_16

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  • DOI: https://doi.org/10.1007/978-3-642-25704-9_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25703-2

  • Online ISBN: 978-3-642-25704-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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