Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
403169 | Knowledge-Based Systems | 2007 | 14 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Richi Nayak, Wina Iryadi,