Redirigiendo al acceso original de articulo en 20 segundos...
ARTÍCULO
TITULO

A model for knowledge visualization based on visual archetypes - doi: 10.4025/actascitechnol.v34i4.10435

Héctor Andrés Melgar Sasieta    
Fabiano Duarte Beppler    
Roberto Carlos do Santos Pacheco (Author)    

Resumen

This paper presents a model that aims to facilitate the visualization of the knowledge stored in digital repositories using visual archetypes. Archetypes are structures that contain visual representations of the real world that are known a priori by the target group, and which have semantic structures for identifying the entities of the domain represented in each region. The proposed model is supported by the framework for knowledge visualization proposed by Burkhard and describes the users? interactions with visual archetypes. The user through the archetypes can retrieve and view the knowledge related to the entities represented in the archetypes? images. A prototype was developed to demonstrate the feasibility of the model using archetypes in the biomedical field, the Foundational Model of Anatomy and the Unified Medical Language System as domain knowledge and the Scientific Electronic Library Online database as a document repository. The use of visual representations in archetypes facilitates the dissemination of knowledge, because these are part of the world view of users and can easily be related with prior knowledge. Visual representations are processed quickly in the brain and require less effort than the processing of textual information.

 Artículos similares

       
 
Hao Liu, Bo Yang and Zhiwen Yu    
Multimodal sarcasm detection is a developing research field in social Internet of Things, which is the foundation of artificial intelligence and human psychology research. Sarcastic comments issued on social media often imply people?s real attitudes towa... ver más
Revista: Applied Sciences

 
Songpu Li, Xinran Yu and Peng Chen    
Model robustness is an important index in medical cybersecurity, and hard-negative samples in electronic medical records can provide more gradient information, which can effectively improve the robustness of a model. However, hard negatives pose difficul... ver más
Revista: Applied Sciences

 
Laura Moretti, Leonardo Palozza and Antonio D?Andrea    
No theoretical model effectively explains the blistering process, which provokes functional distress in asphalt pavements worldwide. This study focuses on the possible causes of blistering, the physical processes that drive blistering, the role of asphal... ver más
Revista: Applied Sciences

 
Jia-Ling Xie, Wei-Feng Shi, Ting Xue and Yu-Hang Liu    
The fault detection and diagnosis of a ship?s electric propulsion system is of great significance to the reliability and safety of large modern ships. The traditional fault diagnosis method based on mathematical models and expert knowledge is limited by ... ver más

 
Wencong Xu, Hongyi Lu, Lei Zhao and Borui He    
In recent years, with the rapid development of computer technology and artificial intelligence design technology, multiple possible design solutions can be quickly generated by transforming the experience and knowledge of structural design into computer ... ver más
Revista: Aerospace