Abstract
This paper addresses the issue of semantically clustering the increasing number of the schemaless XML documents. In our approach, each document in a document collection is firstly represented by a macro-path sequence. Secondly, the similarity matrix for a document collection is constructed by computing the similarity value among these macro-path sequences. Finally, the desired clusters are constructed by utilizing the hierarchical clustering technique. Experimental results are also shown in this paper.
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Shen, Y., Wang, B. (2003). Clustering Schemaless XML Documents. In: Meersman, R., Tari, Z., Schmidt, D.C. (eds) On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE. OTM 2003. Lecture Notes in Computer Science, vol 2888. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39964-3_49
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DOI: https://doi.org/10.1007/978-3-540-39964-3_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20498-5
Online ISBN: 978-3-540-39964-3
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