Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6039
Title: Wrapping VRXQuery with self-adaptive fuzzy capabilities [Conference Object]
Authors: Lo, Anthony
Kianmehr, Keivan
Kaya, Mehmet
Özyer, Tansel
Alhajj, Reda
Source: IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007, 2 November 2007 through 5 November 2007, Silicon Valley, CA, 72860
Abstract: This paper addresses the development of a plug and run wrapper to incorporate fuzziness into VRXQuery, the querying facility of VIREX which is a user-friendly system for transforming and querying relational data as XML. Our basic argument is not to force the underlying XML data to incorporate fuzziness. Rather, fuzziness is smoothly supported in a novel plug and run manner via a wrapper. Either the user specifies the membership functions for the elements/attributes to be queried as fuzzy, or multi-objective genetic algorithm is used to automatically decide on and optimize the membership functions. The interface of VIREX has been expanded to allow specifying queries with fuzziness. Then, queries expressed in VRXQuery empowered with fuzziness are translated into corresponding XQuery code, which is run on the underlying XML and the returned result is translated into a fuzzy representation; translation into SQL is also possible. The user is given the choice to display the result either as coloredtext or in graphical format. © 2007 IEEE.
URI: https://doi.org/10.1109/WI.2007.4427184
https://hdl.handle.net/20.500.11851/6039
ISBN: 0769530265; 9780769530260
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

SCOPUSTM   
Citations

6
checked on Nov 2, 2024

WEB OF SCIENCETM
Citations

2
checked on Nov 2, 2024

Page view(s)

56
checked on Nov 4, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.