Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5867
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dc.contributor.authorÖzyer, Tansel-
dc.date.accessioned2021-09-11T15:20:28Z-
dc.date.available2021-09-11T15:20:28Z-
dc.date.issued2009en_US
dc.identifier.issn0350-5596-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/5867-
dc.description.abstractWith the advent of internet technologies, users get involved in collective organizations that feed from collective intelligence mechanism to make further recommendations, inferences on unseen examples. In this study, as users surf on the internet, they are capable of picking pictures liked from web pages to their favorite list with definitions specific to our system. After images are tagged with definitions, they are filtered with respect to commonality measure to deduce significant definitions for storage. These tags help users to make inquiries and broaden up their search on the tags they are interested. While doing tagging process, all images are shared collaboratively and that is bolstered with Word net.en_US
dc.language.isoenen_US
dc.relation.ispartofInformatica (Ljubljana)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCollaborative filteringen_US
dc.subjectSocial networksen_US
dc.subjectWeb information retrievalen_US
dc.subjectXMLen_US
dc.titleOnline wordnet based tagging system for social sharing and retrieval of images on visited pagesen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.volume33en_US
dc.identifier.issue3en_US
dc.identifier.startpage271en_US
dc.identifier.endpage276en_US
dc.identifier.wosWOS:000213223400004en_US
dc.identifier.scopus2-s2.0-70350157930en_US
dc.institutionauthorÖzyer, Tansel-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ3-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
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
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