DocumentCode
2383108
Title
An IFTr approach to approximate XML query matching
Author
Alzebdi, Mohammedsharaf ; Chountas, Panagiotis ; Atanassov, Krassimir
Author_Institution
ECS, Univ. of Westminster, London, UK
fYear
2011
fDate
9-12 Oct. 2011
Firstpage
2425
Lastpage
2430
Abstract
As XML is becoming the de facto standard for data representation and communication, especially on the web, a need has been identified for efficient XML querying techniques that can overcome the dilemma of heterogeneity in 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 results include not just the XML data trees that exactly match the query, but also the ones that partially match it. We believe that our approach has a potential to return useful query answers while pertaining good performance.
Keywords
XML; fuzzy set theory; query processing; tree data structures; trees (mathematics); IFTr approach; XML data sources; approximate XML query matching; data communication; data representation; intuitionistic fuzzy trees; Accuracy; Data mining; Ontologies; Pattern matching; Semantics; Vegetation; XML; Intuitionistic Fuzzy Trees; Pattern Trees; Tree Similarity (Inclusion);
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location
Anchorage, AK
ISSN
1062-922X
Print_ISBN
978-1-4577-0652-3
Type
conf
DOI
10.1109/ICSMC.2011.6084041
Filename
6084041
Link To Document