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    Automated schema matching techniques: an exploratory study

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    Abstract
    Manual schema matching is a problem for many database applications that use multiple data sources including data warehousing and e-commerce applications. Current research attempts to address this problem by developing algorithms to automate aspects of the schema-matching task. In this paper, an approach using an external dictionary facilitates automated discovery of the semantic meaning of database schema terms. An experimental study was conducted to evaluate the performance and accuracy of five schema-matching techniques with the proposed approach, called SemMA. The proposed approach and results are compared with two existing semi-automated schema-matching approaches and suggestions for future research are made.
    Citation
    Sun, X.L., Rose, E. (2003), Automated schema matching techniques: an exploratory study, Research Letters in the Information and Mathematical Sciences, 4, 113-136
    Date
    2003
    Author
    Sun, Xiao Long
    Rose, Ellen
    Publisher
    Massey University
    URI
    http://hdl.handle.net/10179/4396
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    • Research Letters in the Information and Mathematical Sciences
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