2005 | OriginalPaper | Chapter
Clustering XML Documents Using Structural Summaries
Authors : Theodore Dalamagas, Tao Cheng, Klaas-Jan Winkel, Timos Sellis
Published in: Current Trends in Database Technology - EDBT 2004 Workshops
Publisher: Springer Berlin Heidelberg
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This work presents a methodology for grouping structurally similar XML documents using clustering algorithms. Modeling XML documents with tree-like structures, we face the ‘clustering XML documents by structure’ problem as a ‘tree clustering’ problem, exploiting distances that estimate the similarity between those trees in terms of the hierarchical relationships of their nodes. We suggest the usage of tree structural summaries to improve the performance of the distance calculation and at the same time to maintain or even improve its quality. Experimental results are provided using a prototype testbed.