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Adaptive Similarity of XML Data

Publication at Faculty of Mathematics and Physics |
2014

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 e orts 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.