Abstract
Identifying semantic correspondences between different vocabularies has been recognized as a fundamental step towards achieving interoperability. Several manual and automatic techniques have been recently proposed. Fully manual approaches are very precise, but extremely costly. Conversely, automatic approaches tend to fail when domain specific background knowledge is needed. Consequently, they typically require a manual validation step. Yet, when the number of computed correspondences is very large, the validation phase can be very expensive. In order to reduce the problems above, we propose to compute the minimal set of correspondences, that we call the minimal mapping, which are sufficient to compute all the other ones. We show that by concentrating on such correspondences we can save up to 99% of the manual checks required for validation.
This paper is a variation of the paper [4] presented at the non-archival 4th Ontology Matching Workshop 2009.
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Maltese, V., Giunchiglia, F., Autayeu, A. (2010). Save Up to 99% of Your Time in Mapping Validation. In: Meersman, R., Dillon, T., Herrero, P. (eds) On the Move to Meaningful Internet Systems, OTM 2010. OTM 2010. Lecture Notes in Computer Science, vol 6427. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16949-6_28
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DOI: https://doi.org/10.1007/978-3-642-16949-6_28
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