Abstract
In this work we explore application of XML schema similarity mapping in the area of conceptual modeling of XML schemas. We expand upon our previous efforts to map XML schemas to a common platform-independent schema using similarity evaluation based on exploitation of a decision tree. In particular, in this paper a more versatile method is implemented and the decision tree is trained using a large set of user-annotated mapping decision samples. Several variations of training that could improve the mapping results are proposed. The approach is implemented within a modeling and evolution management framework called eXolutio and its variations are evaluated using a wide range of experiments.
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Jílková, E., Polák, M., Holubová, I. (2014). Adaptive Similarity of XML Data. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2014 Conferences. OTM 2014. Lecture Notes in Computer Science, vol 8841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45563-0_32
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DOI: https://doi.org/10.1007/978-3-662-45563-0_32
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