Digital Image Representation Model Enriched with Semantic Web Technologies: Visual and Non-Visual Information

نویسندگان

چکیده

The types of content digital images, visual (syntactic and semantic) non-visual, cause the complexity their representation. Considering these contents separately hinders image retrieval because this creates a gap between its Therefore, work aims to present representation model non-visual information with semantic enrichment through Semantic Web technologies. For that, qualitative methodology bibliographical approach was used. Theoretical subsidies topics addressed were sought, it has an applied focus since proposes exemplification. developed depicts process allows data. This facilitates in multiple contexts technologies that favor use data inferences. Also, case medical images is presented, demonstrating feasibility proposal. It concluded improve way are retrieved environments. junction context should be considered, even though search mechanisms usually treat due disaggregation itself.

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ژورنال

عنوان ژورنال: Revista Facultad de Ingeniería

سال: 2023

ISSN: ['2357-5328', '0121-1129']

DOI: https://doi.org/10.19053/01211129.v32.n63.2023.14815