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dc.contributor.author
Larrea, Martin Leonardo  
dc.contributor.author
Martig, Sergio R.  
dc.contributor.author
Castro, Silvia Mabel  
dc.date.available
2018-12-13T21:38:08Z  
dc.date.issued
2010-04  
dc.identifier.citation
Larrea, Martin Leonardo; Martig, Sergio R.; Castro, Silvia Mabel; Semantics-based Color Assignment in Visualization; Iberoamerican Science & Technology Education Consortium; Journal of Computer Science & Technology; 10; 1; 4-2010; 14-18  
dc.identifier.issn
1666-6038  
dc.identifier.uri
http://hdl.handle.net/11336/66477  
dc.description.abstract
The active use and manipulation of visual representations makes many complex and in tensive cognitive tasks feasible. A visual representation is able to convey relationships among many elem ents in parallel and it provides an individual with directly observable memory. A successful visualization allows the user to gain insight into the data, that is, to communicate different aspects of the data in an effective way. Even with today’s visualization systems that give the user a considerable control over the visualization process, it can be difficult to produce an effective visualization. To obtain useful results, a user has to interr ogate the visual ization very precisely. A strategy to improve this situation is to guide the user with the selection of the parameters involved in the visualization. This paper presents the initial effort dedicated to achieve a visualiz ation system that assists the user in the configuration and preparation of the visualization by considering bot h the semantic of the data and the semantic of the stages through all the visualization process. In this article we present a visualization system for file hierarchies where color assignment is made by a reasoning process through the use of an ontology. This work sets the way forward to integrate the visualization process with a reasoning process and configure a visualization based on the reasoner’s results.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Iberoamerican Science & Technology Education Consortium  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc/2.5/ar/  
dc.subject
Semantic Visualization  
dc.subject
Ontology  
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Color Assignment  
dc.subject
Rdf  
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Owl  
dc.subject.classification
Ciencias de la Computación  
dc.subject.classification
Ciencias de la Computación e Información  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Semantics-based Color Assignment in Visualization  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-09-18T15:04:35Z  
dc.journal.volume
10  
dc.journal.number
1  
dc.journal.pagination
14-18  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Nuevo Mexico  
dc.description.fil
Fil: Larrea, Martin Leonardo. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Martig, Sergio R.. Universidad Nacional del Sur; Argentina  
dc.description.fil
Fil: Castro, Silvia Mabel. Universidad Nacional del Sur; Argentina  
dc.journal.title
Journal of Computer Science & Technology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/JCST/article/view/710