Digital Image Representation Model Enriched with Semantic Web Technologies: Visual and Non-Visual Information
The types of content of digital images, visual (syntactic and semantic) and non-visual, cause the complexity of their representation. Considering these contents separately hinders digital image retrieval because this creates a gap between the contents of the image and its representation. Therefore,...
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| Format: | Article |
| Language: | English |
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Universidad Pedagógica y Tecnológica de Colombia
2023-01-01
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| Series: | Revista Facultad de Ingeniería |
| Subjects: | |
| Online Access: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14815 |
| _version_ | 1797448152342593536 |
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| author | Sandra-Milena Roa-Martínez Caio Coneglian Silvana Vidotti |
| author_facet | Sandra-Milena Roa-Martínez Caio Coneglian Silvana Vidotti |
| author_sort | Sandra-Milena Roa-Martínez |
| collection | DOAJ |
| description |
The types of content of digital images, visual (syntactic and semantic) and non-visual, cause the complexity of their representation. Considering these contents separately hinders digital image retrieval because this creates a gap between the contents of the image and its representation. Therefore, this work aims to present a representation model of visual and non-visual information of digital images, with semantic enrichment through the Semantic Web technologies. For that, a qualitative methodology with a bibliographical approach was used. Theoretical subsidies of the topics addressed were sought, and it has an applied focus since it proposes a model and its exemplification. The developed model depicts the representation image process and allows the semantic enrichment of the data. This enrichment facilitates the retrieval in multiple contexts with technologies that favor the use of the data through inferences. Also, a use case with digital medical images is presented, demonstrating the feasibility of the proposal. It is concluded that the representation of visual and non-visual content aims to improve the way images are retrieved in digital information environments. The junction of the content and the context of images should be considered, even though search mechanisms usually treat this separately due to the disaggregation of image representation itself.
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| first_indexed | 2024-03-09T14:06:21Z |
| format | Article |
| id | doaj.art-dec6f64c6af54c59ba0bbb7a12463efe |
| institution | Directory Open Access Journal |
| issn | 0121-1129 2357-5328 |
| language | English |
| last_indexed | 2024-03-09T14:06:21Z |
| publishDate | 2023-01-01 |
| publisher | Universidad Pedagógica y Tecnológica de Colombia |
| record_format | Article |
| series | Revista Facultad de Ingeniería |
| spelling | doaj.art-dec6f64c6af54c59ba0bbb7a12463efe2023-11-30T04:44:56ZengUniversidad Pedagógica y Tecnológica de ColombiaRevista Facultad de Ingeniería0121-11292357-53282023-01-01326310.19053/01211129.v32.n63.2023.14815Digital Image Representation Model Enriched with Semantic Web Technologies: Visual and Non-Visual InformationSandra-Milena Roa-Martínez0Caio Coneglian1Silvana Vidotti2Universidad del CaucaUniversidade de MariliaUniversidade Estadual Paulista The types of content of digital images, visual (syntactic and semantic) and non-visual, cause the complexity of their representation. Considering these contents separately hinders digital image retrieval because this creates a gap between the contents of the image and its representation. Therefore, this work aims to present a representation model of visual and non-visual information of digital images, with semantic enrichment through the Semantic Web technologies. For that, a qualitative methodology with a bibliographical approach was used. Theoretical subsidies of the topics addressed were sought, and it has an applied focus since it proposes a model and its exemplification. The developed model depicts the representation image process and allows the semantic enrichment of the data. This enrichment facilitates the retrieval in multiple contexts with technologies that favor the use of the data through inferences. Also, a use case with digital medical images is presented, demonstrating the feasibility of the proposal. It is concluded that the representation of visual and non-visual content aims to improve the way images are retrieved in digital information environments. The junction of the content and the context of images should be considered, even though search mechanisms usually treat this separately due to the disaggregation of image representation itself. https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14815Images representationDigital imageVisual and non-visual contentWeb Semantic Technologiesimages enrichment |
| spellingShingle | Sandra-Milena Roa-Martínez Caio Coneglian Silvana Vidotti Digital Image Representation Model Enriched with Semantic Web Technologies: Visual and Non-Visual Information Revista Facultad de Ingeniería Images representation Digital image Visual and non-visual content Web Semantic Technologies images enrichment |
| title | Digital Image Representation Model Enriched with Semantic Web Technologies: Visual and Non-Visual Information |
| title_full | Digital Image Representation Model Enriched with Semantic Web Technologies: Visual and Non-Visual Information |
| title_fullStr | Digital Image Representation Model Enriched with Semantic Web Technologies: Visual and Non-Visual Information |
| title_full_unstemmed | Digital Image Representation Model Enriched with Semantic Web Technologies: Visual and Non-Visual Information |
| title_short | Digital Image Representation Model Enriched with Semantic Web Technologies: Visual and Non-Visual Information |
| title_sort | digital image representation model enriched with semantic web technologies visual and non visual information |
| topic | Images representation Digital image Visual and non-visual content Web Semantic Technologies images enrichment |
| url | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14815 |
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