On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE

Volume 2888 of the series Lecture Notes in Computer Science pp 767-784

Clustering Schemaless XML Documents

  • Yun ShenAffiliated withDepartment of Computer Science, University of Hull
  • , Bing WangAffiliated withDepartment of Computer Science, University of Hull

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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.