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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Adaptive Similarity of XML Data
verfasst von : Eva Jílková, Marek Polák, Irena Holubová
Erschienen in: On the Move to Meaningful Internet Systems: OTM 2014 Conferences
Verlag: Springer Berlin Heidelberg
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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.