Automated schema matching techniques: an exploratory study

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dc.contributor.authorSun, Xiao Long
dc.contributor.authorRose, Ellen
dc.date.accessioned2013-05-09T04:40:56Z
dc.date.available2013-05-09T04:40:56Z
dc.date.issued2003
dc.description.abstractManual 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.en
dc.identifier.citationSun, X.L., Rose, E. (2003), Automated schema matching techniques: an exploratory study, Research Letters in the Information and Mathematical Sciences, 4, 113-136en
dc.identifier.issn1175-2777
dc.identifier.urihttp://hdl.handle.net/10179/4396
dc.language.isoenen
dc.publisherMassey Universityen
dc.subjectSchema matchingen
dc.subjectDatabase applicationsen
dc.titleAutomated schema matching techniques: an exploratory studyen
dc.typeArticleen
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