Clustering XML Documents using Structural Similarity

Abstract

Extensible Mark-up Language (XML) is increasingly important in data exchange and information management. The automatic processing and management of XML-based data are ever more popular research issues due to the increasing abundant use of XML, especially on the web. Clustering is also helpful for categorizing web documents. Clustering, which means the physical arrangement of objects, can be an important factor in improving the performance in the storage model. Clustering XML documents using structural similarity based on Progressively Clustering XML by Structural Similarity (PCXSS) method is presented in this paper. The PCXSS method intends to deal with the heterogeneous XML schemas to cluster XML documents by considering only the structural similarity. The efficiency of PCXSS methodology has been analysed with the real datasets which are ACM SIGMOD record, DBLP, XML Repository and Wisconsin’s XML data bank.