XML schema clustering with semantic and hierarchical similarity measures

Nayak, Richi & Iryadi, Wina (2007) XML schema clustering with semantic and hierarchical similarity measures. Knowledge-Based Systems, 20(4), pp. 336-349.

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Abstract

With the growing popularity of XML as the data representation language, collections of the XML data are exploded in numbers. The methods are required to manage and discover the useful information from them for the improved document handling. We present a schema clustering process by organising the heterogeneous XML schemas into various groups. The methodology considers not only the linguistic and the context of the elements but also the hierarchical structural similarity. We support our findings with experiments and analysis.

Impact and interest:

46 citations in Scopus
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32 citations in Web of Science®

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239 since deposited on 08 Jul 2008
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ID Code: 13994
Item Type: Journal Article
Refereed: Yes
Additional Information: For more information, please refer to the journal's website (see hypertext link) or contact the author.
DOI: 10.1016/j.knosys.2006.08.006
ISSN: 0950-7051
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2007 Elsevier
Deposited On: 08 Jul 2008 00:00
Last Modified: 01 Mar 2012 03:51

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