Alzebdi, Mohammedsharaf and Chountas, Panagiotis and Atanassov, Krassimir T. (2011) Intuitionistic fuzzy XML query matching. Lecture Notes in Computer Science, 7022. pp. 306-317. ISSN 0302-9743Full text not available from this repository.
As the popularity of XML as a de facto standard for data representation and communication is rising, a need has been identified for efficient XML querying techniques that can overcome the dilemma of diversity in the structure of XML data sources. In this work, we propose our approach of using Intuitionistic Fuzzy Trees (IFTr) to achieve approximate XML query matching, making the query result include not just the XML data trees that exactly match the query, but also the ones that partially match it. Our approach has a potential to return useful query answers while pertaining good performance. Users will have the option to choose between quick and less accurate results or time costing and more accurate results.
|Subjects:||University of Westminster > Science and Technology > Electronics and Computer Science, School of (No longer in use)|
|Depositing User:||Rachel Wheelhouse|
|Date Deposited:||23 Jul 2012 09:16|
|Last Modified:||23 Jul 2012 09:16|
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