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    An ontology-based quality framework for data integration

    Wang, J. and Martin, Nigel and Poulovassilis, Alexandra (2012) An ontology-based quality framework for data integration. In: Niedrite, L. and Strazdina, R. and Wangler, B. (eds.) Workshops on Business Informatics Research. Lecture Notes in Business Information Processing 106. Berlin, Germany: Springer Verlag, pp. 196-208. ISBN 9783642292309.

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    The data integration (DI) process involves multiple users with roles such as administrators, integrators and end-users, each of whom may have requirements which have an impact on the overall quality of an integrated resource. Users’ requirements may conflict with each other, and so a quality framework for the DI context has to be capable of representing the variety of such requirements and provide mechanisms to detect and resolve the possible inconsistencies between them. This paper presents a framework for the specification of DI quality criteria and associated user requirements. This is underpinned by a Description Language formalisation with associated reasoning capabilities which enables a DI setting to be tested to identify those elements that are inconsistent with users’ requirements. The application of the framework is illustrated with an example showing how it can be used to improve the quality of an integrated resource.


    Item Type: Book Section
    Keyword(s) / Subject(s): data integration, quality assessment, quality metrics
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Research Centres and Institutes: Innovation Management Research, Birkbeck Centre for, Bioinformatics, Bloomsbury Centre for (Closed), Structural Molecular Biology, Institute of (ISMB), Birkbeck Knowledge Lab
    Depositing User: Sarah Hall
    Date Deposited: 19 Jul 2013 12:47
    Last Modified: 09 Aug 2023 12:33


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