Investigating Semantic Measures in XML Clustering

Nayak, Richi (2006) Investigating Semantic Measures in XML Clustering. In International Conference on Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM, 18-22 December 2006, Hong Kong.

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This paper discusses the influence of semantic computation in structural data such as XML for clustering similar data. We study how the semantic similarity at individual element level influences the overall similarity of documents. The empirical results indicate that the semantic measures do not play an important role in finding clusters in structural data such as XML.

Impact and interest:

11 citations in Scopus
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ID Code: 14010
Item Type: Conference Paper
Refereed: Yes
DOI: 10.1109/WI.2006.106
ISBN: 0769527477
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2006 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 09 Jul 2008 00:00
Last Modified: 29 Feb 2012 13:21

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