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- W3048305910 abstract "To mitigate the semantic gap between a visual feature and linguistic representation in social image retrieval, researchers have proposed an automatic image annotation approach, which employs multiple visual features and text matching to label images. This paper used a linked open data approach and ontology to construct a model, an automatic semantic image annotation model for social image retrieval. These models enable users to label images through automatic semantic annotation and to identify the underlying intents of semantics, thereby fulfilling user needs and enhancing the retrieval accuracy." @default.
- W3048305910 created "2020-08-13" @default.
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- W3048305910 date "2020-06-01" @default.
- W3048305910 modified "2023-10-16" @default.
- W3048305910 title "Ontology-based Dynamic Semantic Annotation for Social Image Retrieval" @default.
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- W3048305910 doi "https://doi.org/10.1109/mdm48529.2020.00074" @default.
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