An analysis of the tags used in the image indexing on Pixabay

• Autor(a) principal: Madkur, Federico Natalio
• Data de Publicação: 2022
• Outros Autores: Hamanaka, Raíssa Yuri, Santos, Raimunda Fernanda dos, Ramalho, Rogério Aparecido Sá
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Encontros Bibli
• Texto Completo: https://periodicos.ufsc.br/index.php/eb/article/view/88171
• topic: Image representation; Image indexing; Folksonomy; Pixabay; Representação imagética; Indexação de imagens; Folksonomia; Pixabay; Representación de imagen; Indexación de imágenes; Folksonomía; Pixabay

Objective: Analyze a set of tags collected from images indexed in Pixabay through methods of images thematic representations used in the context of Information Science. Methods: Descriptive and exploratory research, with a qualitative approach and use of documentary research to analyzing photographic documents in a digital environment. A case study was carried out on Pixabay, through the analysis of a sample of tags collected on the platform. Results: We analyzed 320 tags, present in 14 images on Pixabay. It was possible to identify the relationship between the pre-iconographic and iconographic level with altruistic labeling, as they are levels that describe the primary and secondary content of images and are reliable to them, contributing to the generation of labels that are relevant in the information retrieval. The relationship between the pre-iconographic level and the expressive dimension was also identified, as it presented the type of image (photo, illustration, icon, symbol), colors and photographic elements (macro-image, shading), descriptive elements that represent the expressive dimension focused on the technique used in the production of the imagetic resource. Based on the analyzes carried out, potentialities and gaps in the use of folksonomy in the context of image indexing in digital environments were identified. Conclusions: In the current Web context, with the growth of collaborative networks, Information Science must keep up with innovations and new forms of informational representation to improve its tools, techniques and research methods. Therefore, it is important to explore the potential of folksonomies in understanding collaborative informational phenomena.