2004 | OriginalPaper | Buchkapitel
Clustering XML Documents by Structure
verfasst von : Theodore Dalamagas, Tao Cheng, Klaas-Jan Winkel, Timos Sellis
Erschienen in: Methods and Applications of Artificial Intelligence
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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This work explores the application of clustering methods for grouping structurally similar XML documents. Modeling the XML documents as rooted ordered labeled trees, we apply clustering algorithms using 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.