Exploiting Semantic Indexing Images for Emergence Recommendation Semantics System

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dc.contributor.authorHOUNGUE, Yénukunmè Pélagie Elyse
dc.contributor.authorZOMAHOUN, Damien
dc.contributor.authorYETONGNON, Kokou
dc.date.accessioned2026-06-02T16:06:57Z
dc.date.available2026-06-02T16:06:57Z
dc.date.issued2013
dc.description.abstractThanks to the efforts of the Semantic Web Community (W3C), images can be semantically indexed with metadata. The explicit representation of image contents is made possible by using ontologies that provide a common and shared understanding of a domain at both human users and application levels. The approach that we are proposing in this paper is a semantic indexing of images based on conc
dc.identifier.otherBECDB-5441
dc.identifier.urihttps://dspace.uac.bj/handle/123456789/5044
dc.language.isofr
dc.relation.ispartofthe Eighth International Conference on Systems and Networks Communications
dc.subjectsemantics
dc.subjectontology
dc.subjectindexing
dc.subjectrecommendation
dc.titleExploiting Semantic Indexing Images for Emergence Recommendation Semantics System
dc.typeArticle

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