Abstract
In this work we extend the commonly used binary evaluation of schema matching to support evaluation methods for non-binary matching results as well. We motivate our work with some new applications of schema matching. Non-binary evaluation is formally defined together with two new, non-binary evaluation measures using a vector-space representation of schema matching outcome. We provide an empirical evaluation to support the usefulness of non-binary evaluation and show its superiority to its binary counterpart.
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Sagi, T., Gal, A. (2012). Non-binary Evaluation for Schema Matching. In: Atzeni, P., Cheung, D., Ram, S. (eds) Conceptual Modeling. ER 2012. Lecture Notes in Computer Science, vol 7532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34002-4_37
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DOI: https://doi.org/10.1007/978-3-642-34002-4_37
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