Investigating Semantic Measures in XML Clustering

Authors:
Richi Nayak
Affiliations:
Queensland University of Technology, Australia
Venue:
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Year:
2006

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Abstract

This paper discusses the influence of semantic computation in structural data such as XML for clustering similar data. We study how the semantic similarity at individual element level influences the overall similarity of documents. The empirical results indicate that the semantic measures do not play an important role in finding clusters in structural data such as XML.