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    Engineering XML solutions using views

    19378_downloaded_stream_470.pdf (908.8Kb)
    Access Status
    Open access
    Authors
    Rajugan
    Chang, Elizabeth
    Dillon, Tharam S.
    Feng, L.
    Date
    2005
    Type
    Conference Paper
    
    Metadata
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    Citation
    Rajugan, R. and Chang, Elizabeth and Dillon, Tharam S. and Feng, Ling. 2005. : Engineering XML solutions using views, in Wang, H. (ed), The Fifth International Conference on Computer and Information Technology (CIT'05), Sep 21 2005, pp. 116-123. Shanghai, China: IEEE.
    Source Title
    Proceedings of the 2005 Fifth International Conference on Computer and Information Technology (CIT'05)
    Source Conference
    The Fifth International Conference on Computer and Information Technology (CIT'05)
    Faculty
    Curtin Business School
    School of Information Systems
    School
    Centre for Extended Enterprises and Business Intelligence
    Remarks

    Copyright 2005 IEEE

    This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/4429
    Collection
    • Curtin Research Publications
    Abstract

    In industrial informatics, engineering data intensive Enterprise Information Systems (EIS) is a challenging task without abstraction and partitioning. Further, the introduction of semi-structured data (namely XML) and its rapid adaptation by the commercial and industrial systems increased the complexity for data engineering. Conversely, the introduction of OMG's MDA presents an interesting paradigm for EIS and system modelling, where a system is designed at a higher level of abstraction. This presents an interesting problem to investigate data engineering XML solutions under the MDA initiatives, where, models and framework requires higher level of abstraction. In this paper we investigate a view model that can provide layered design methodology for modelling data intensive XML solutions for EIS paradigm, with sufficient level of abstraction.

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