Computing structural similarity of source XML schemas against domain XML schema
ADC '08 Proceedings of the nineteenth conference on Australasian database - Volume 75
Concept similarity by evaluating information contents and feature vectors: a combined approach
Communications of the ACM - Being Human in the Digital Age
Semantic similarity analysis of XML schema using grid computing
IRI'09 Proceedings of the 10th IEEE international conference on Information Reuse & Integration
Extensible User-Based XML Grammar Matching
ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
Element similarity measures in XML schema matching
Information Sciences: an International Journal
Evaluating PageRank methods for structural sense ranking in labeled tree data
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Minimizing user effort in XML grammar matching
Information Sciences: an International Journal
Exploring dictionary-based semantic relatedness in labeled tree data
Information Sciences: an International Journal
Architectural Styles for Distributed Interoperability
Information Resources Management Journal
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EXtensible Markup Language (XML)-Schemas are the emerging standards for describing and validating semi-structured documents across the Internet, due to the rich set of modeling constructors, types and constraints they provide. Semantic similarity is growing in importance in different settings, such as digital libraries, heterogeneous databases and, in particular, the Semantic Web. The focus of this paper is the definition of a method for determining semantic similarity of XML-Schema elements in the presence of type hierarchies. Such a method has been defined by combining and revisiting: (i) the information content approach, and (ii) a method for comparing the structural components of type declarations, inspired by the maximum weighted matching problem in bipartite graphs.