Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6039
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLo, Anthony-
dc.contributor.authorKianmehr, Keivan-
dc.contributor.authorKaya, Mehmet-
dc.contributor.authorÖzyer, Tansel-
dc.contributor.authorAlhajj, Reda-
dc.date.accessioned2021-09-11T15:21:37Z-
dc.date.available2021-09-11T15:21:37Z-
dc.date.issued2007en_US
dc.identifier.citationIEEE/WIC/ACM International Conference on Web Intelligence, WI 2007, 2 November 2007 through 5 November 2007, Silicon Valley, CA, 72860en_US
dc.identifier.isbn0769530265; 9780769530260-
dc.identifier.urihttps://doi.org/10.1109/WI.2007.4427184-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6039-
dc.description.abstractThis 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.en_US
dc.description.sponsorshipIEEE Comput. Society Tech. Committee on Intelligent Informatics;(TCII);Web Intelligence Consortium (WIC);ACM SIGARTen_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleWrapping Vrxquery With Self-Adaptive Fuzzy Capabilities [conference Object]en_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.startpage750en_US
dc.identifier.endpage756en_US
dc.identifier.wosWOS:000253307900126en_US
dc.identifier.scopus2-s2.0-48349140555en_US
dc.institutionauthorÖzyer, Tansel-
dc.identifier.doi10.1109/WI.2007.4427184-
dc.identifier.doi10.1109/WI.2007.127-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conferenceIEEE/WIC/ACM International Conference on Web Intelligence, WI 2007en_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.1. Department of Artificial Intelligence Engineering-
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 simple item record



CORE Recommender

SCOPUSTM   
Citations

6
checked on Dec 21, 2024

WEB OF SCIENCETM
Citations

2
checked on Dec 7, 2024

Page view(s)

58
checked on Dec 23, 2024

Google ScholarTM

Check




Altmetric


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