Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/9895
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKianmehr, K.-
dc.contributor.authorÖzyer, T.-
dc.contributor.authorKaya, M.-
dc.contributor.authorAlhajj, R.-
dc.date.accessioned2022-12-25T20:52:21Z-
dc.date.available2022-12-25T20:52:21Z-
dc.date.issued2009-
dc.identifier.issn1570-1263-
dc.identifier.urihttps://doi.org/10.3233/WIA-2009-0168-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/9895-
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. As the database is dynamic and updates are very frequent, there is no guarantee that existing membership functions will continue to properly reflect the current database state; this is identified when the cluster homogeneity deviates by a threshold. For the former case, the user will receive a warning; and for the latter case, the system will automatically adjust the clustering and 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 colored-text or in graphical format. © 2009 IOS Press and the authors. All rights reserved.en_US
dc.language.isoenen_US
dc.relation.ispartofWeb Intelligence and Agent Systemsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClusteringen_US
dc.subjectFuzzinessen_US
dc.subjectOptimizationen_US
dc.subjectXMLen_US
dc.subjectXQueryen_US
dc.subjectClusteringen_US
dc.subjectFuzzinessen_US
dc.subjectFuzzy representationsen_US
dc.subjectGraphical formaten_US
dc.subjectMulti-objective genetic algorithmen_US
dc.subjectRelational dataen_US
dc.subjectSelf-adaptiveen_US
dc.subjectXML dataen_US
dc.subjectXQueryen_US
dc.subjectMarkup languagesen_US
dc.subjectOptimizationen_US
dc.subjectXMLen_US
dc.subjectMembership functionsen_US
dc.titleWrapping VRXQuery with self-adaptive fuzzy capabilitiesen_US
dc.title.alternativeApplication of data acquisition system for Superconducting Quantum Interface Devices SQUID at remote location [Article]en_US
dc.typeArticleen_US
dc.departmentESTÜen_US
dc.identifier.volume7en_US
dc.identifier.issue3en_US
dc.identifier.startpage269en_US
dc.identifier.endpage279en_US
dc.identifier.scopus2-s2.0-70349144443en_US
dc.institutionauthor[Belirlenecek]-
dc.identifier.doi10.3233/WIA-2009-0168-
dc.authorscopusid15050483900-
dc.authorscopusid8914139000-
dc.authorscopusid35890569200-
dc.authorscopusid7004187647-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.grantfulltextnone-
crisitem.author.dept02.1. Department of Artificial Intelligence Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

4
checked on Apr 20, 2024

Page view(s)

20
checked on Apr 22, 2024

Google ScholarTM

Check




Altmetric


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