Visual Analytics for Linked Open Data in Marine Sciences

Autores
Nuñez, Gustavo; Buckle, Carlos; Zárate, Marcos
Año de publicación
2022
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The purpose of data exploration and data visualization (DV) is to offer ways of perceiving and manipulating information, as well as extracting and inferring knowledge. In this short paper we present advances in visual representations and intuitive interaction techniques based on artificial intelligence. This contributes significantly to the exploration and understanding of information related to marine sciences represented by ontologies and linked data. This preliminary research allows scientists and non-expert users to analyze sets with information related to oceanography, meteorology and environmental parameters to promote scientific knowledge and productive innovation in the South Atlantic ocean using Linked Open Data (LOD).
Instituto de Investigación en Informática
Materia
Ciencias Informáticas
Data Visualization
Linked Open Data
Marine Science
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/140643

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spelling Visual Analytics for Linked Open Data in Marine SciencesNuñez, GustavoBuckle, CarlosZárate, MarcosCiencias InformáticasData VisualizationLinked Open DataMarine ScienceThe purpose of data exploration and data visualization (DV) is to offer ways of perceiving and manipulating information, as well as extracting and inferring knowledge. In this short paper we present advances in visual representations and intuitive interaction techniques based on artificial intelligence. This contributes significantly to the exploration and understanding of information related to marine sciences represented by ontologies and linked data. This preliminary research allows scientists and non-expert users to analyze sets with information related to oceanography, meteorology and environmental parameters to promote scientific knowledge and productive innovation in the South Atlantic ocean using Linked Open Data (LOD).Instituto de Investigación en Informática2022-07info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf24-28http://sedici.unlp.edu.ar/handle/10915/140643enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-2126-0info:eu-repo/semantics/reference/hdl/10915/139373info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:35:43Zoai:sedici.unlp.edu.ar:10915/140643Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:35:43.994SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Visual Analytics for Linked Open Data in Marine Sciences
title Visual Analytics for Linked Open Data in Marine Sciences
spellingShingle Visual Analytics for Linked Open Data in Marine Sciences
Nuñez, Gustavo
Ciencias Informáticas
Data Visualization
Linked Open Data
Marine Science
title_short Visual Analytics for Linked Open Data in Marine Sciences
title_full Visual Analytics for Linked Open Data in Marine Sciences
title_fullStr Visual Analytics for Linked Open Data in Marine Sciences
title_full_unstemmed Visual Analytics for Linked Open Data in Marine Sciences
title_sort Visual Analytics for Linked Open Data in Marine Sciences
dc.creator.none.fl_str_mv Nuñez, Gustavo
Buckle, Carlos
Zárate, Marcos
author Nuñez, Gustavo
author_facet Nuñez, Gustavo
Buckle, Carlos
Zárate, Marcos
author_role author
author2 Buckle, Carlos
Zárate, Marcos
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Data Visualization
Linked Open Data
Marine Science
topic Ciencias Informáticas
Data Visualization
Linked Open Data
Marine Science
dc.description.none.fl_txt_mv The purpose of data exploration and data visualization (DV) is to offer ways of perceiving and manipulating information, as well as extracting and inferring knowledge. In this short paper we present advances in visual representations and intuitive interaction techniques based on artificial intelligence. This contributes significantly to the exploration and understanding of information related to marine sciences represented by ontologies and linked data. This preliminary research allows scientists and non-expert users to analyze sets with information related to oceanography, meteorology and environmental parameters to promote scientific knowledge and productive innovation in the South Atlantic ocean using Linked Open Data (LOD).
Instituto de Investigación en Informática
description The purpose of data exploration and data visualization (DV) is to offer ways of perceiving and manipulating information, as well as extracting and inferring knowledge. In this short paper we present advances in visual representations and intuitive interaction techniques based on artificial intelligence. This contributes significantly to the exploration and understanding of information related to marine sciences represented by ontologies and linked data. This preliminary research allows scientists and non-expert users to analyze sets with information related to oceanography, meteorology and environmental parameters to promote scientific knowledge and productive innovation in the South Atlantic ocean using Linked Open Data (LOD).
publishDate 2022
dc.date.none.fl_str_mv 2022-07
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info:eu-repo/semantics/publishedVersion
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http://purl.org/coar/resource_type/c_5794
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dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/reference/hdl/10915/139373
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http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
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