Abstract
We not only propose a method for XML document clustering using common structures but also show the application of our technique to XML retrieval. Our approach first extracts the frequent structures from XML documents by the decomposed method of tree. And then, we perform a new XML document clustering algorithm using common structures, which does not use measure of pairwise similarity between XML documents. The high speed and cluster cohesion of our clustering algorithm are shown in our experiment results.
This work was supported by Ubiquitous Bio-Information Technology Research Institute in Korea.
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Hwang, J.H., Ryu, K.H. (2005). Clustering and Retrieval of XML Documents by Structure. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424826_100
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DOI: https://doi.org/10.1007/11424826_100
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25861-2
Online ISBN: 978-3-540-32044-9
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