Abstract
Schema matching is a fundamental issue in many database applications, such as query mediation and data warehousing. It becomes a challenge when different vocabularies are used to refer to the same real-world concepts. In this context, a convenient approach, sometimes called extensional, instance-based or semantic, is to detect how the same real world objects are represented in different databases and to use the information thus obtained to match the schemas. This paper describes an instance-based schema matching technique for an OWL dialect. The technique is based on similarity functions and is backed up by experimental results with real data downloaded from data sources found on the Web.
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Leme, L.A.P.P., Casanova, M.A., Breitman, K.K., Furtado, A.L. (2009). Instance-Based OWL Schema Matching. In: Filipe, J., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2009. Lecture Notes in Business Information Processing, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01347-8_2
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DOI: https://doi.org/10.1007/978-3-642-01347-8_2
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