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    A new architecture for dynamic e-business database interoperability

    135231_135231.pdf (86.31Kb)
    Access Status
    Open access
    Authors
    Hussain, Omar
    Soh, B.
    Date
    2004
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Hussain, Omar and Soh, B. 2004. A new architecture for dynamic e-business database interoperability, in Kou, W. and Chung, J. (ed), IEEE International Conference on E-Commerce Technology for Dynamic E-Business (CEC), Sep 13 2004, pp. 150-153. Beijing, China: IEEE.
    Source Title
    Proceedings of the IEEE international conference on e-commerce technology for dynamic e-business (CEC)
    Source Conference
    IEEE International Conference on E-Commerce Technology for Dynamic E-Business (CEC)
    Additional URLs
    http://doi.ieeecomputersociety.org/10.1109/CEC-EAST.2004.3
    ISBN
    0769522068
    Faculty
    Curtin Business School
    The Digital Ecosystems and Business Intelligence Institute (DEBII)
    School
    Digital Ecosystems and Business Intelligence Institute (DEBII)
    Remarks

    Copyright © 2004 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/20.500.11937/17676
    Collection
    • Curtin Research Publications
    Abstract

    There have been many approaches of data sharing in e-businesses, attempting at mapping each field at the source to its corresponding field at the target. These approaches eliminate the need for deriving the global schema and hence eliminate a substantial overhead. But, the approaches work out well only when both the source and the target databases have approximately the same content. Moreover, if some concepts of source do not have the counterpart fields in the target then the mapping will lose the concepts. This problem will be further aggregated by the mapping compositions and the large size of the databases. In this paper, we propose a framework to alleviate the interoperability problem.

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