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.
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.
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|Item Type:||Journal Article|
|Additional Information:||For more information, please refer to the journal's website (see hypertext link) or contact the author.|
|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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