Journal of Computer Science

Similarity Based Clustering with Indexing for Semi-Structured Document

S. Palanisamy and K. Baskaran

DOI : 10.3844/jcssp.2012.545.550

Journal of Computer Science

Volume 8, Issue 4

Pages 545-550

Abstract

Problem statement: To improve the performance of data retrieval in a homogeneous large XML document. Approach: Clustering of XML elements based on the content with indexing. The element which is used for clustering has been identified from the document and/or XML schema. This element is used as a parameter for clustering. The suitable index is created after clustering. Results: The clustering combined with indexing strategy support the efficient retrieval of XML element from the document. Conclusion: The proposed method is used to improve the efficiency of XML data manipulation and comparatively give the better performance rather than clustering or indexing alone.

Copyright

© 2012 S. Palanisamy and K. Baskaran. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.