ODP-DASHBOARD: enhancing marine species conservation in the South Atlantic through linked open data integration

This paper presents the development of a Cloud-based dashboard called ODP-DASHBOARD (Ocean Data Platform), to manage information from the Marine Biodiversity domains and Oceanography. In this context, the Linked Open Data (LOD) paradigm has emerged as a set of best practices for connecting, sharing...

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Detalles Bibliográficos
Autores principales: Nuñez, Gustavo, Buckle, Carlos Ezequiel, Zárate, Marcos Daniel
Formato: Articulo
Lenguaje:Inglés
Publicado: 2024
Materias:
Ciencias Informáticas
Ocean sensors
SSN/SOSA ontology
RD- FLib
Aqualink
sensores oceánicos
ontologia SSN/SOSA
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/173751
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-173751
record_format dspace
spelling I19-R120-10915-1737512024-11-27T20:05:46Z http://sedici.unlp.edu.ar/handle/10915/173751 ODP-DASHBOARD: enhancing marine species conservation in the South Atlantic through linked open data integration ODP-DASHBOARD: mejorar la conservación de especies marinas en el Atlántico Sur mediante la integración de datos abiertos vinculados Nuñez, Gustavo Buckle, Carlos Ezequiel Zárate, Marcos Daniel 2024-10 2024-11-27T14:45:30Z en Ciencias Informáticas Ocean sensors SSN/SOSA ontology RD- FLib Aqualink sensores oceánicos ontologia SSN/SOSA This paper presents the development of a Cloud-based dashboard called ODP-DASHBOARD (Ocean Data Platform), to manage information from the Marine Biodiversity domains and Oceanography. In this context, the Linked Open Data (LOD) paradigm has emerged as a set of best practices for connecting, sharing and exposing data and knowledge. A central part of this paradigm are ontologies, which allow the definition of shared vocabularies and conceptual models that help integrate this information. These considerations provide a strong motivation to formulate a system that takes into account geospatial characteristics that can provide answers to questions such as the following: (i) How can we define spatial regions for our studies? (ii) How are species distributed in a given region ? (iii) Given a particular georeference, what geographic region does it belong to? (iv) How to relate species occurrences to environmental variables within a specific region ?. This system is composed of (i) Architecture; (ii) Conceptual model and (iii) Linked data set for exploitation through a SPARQL endpoint. The evaluation was carried out from two approaches, the first of which consists of validating the dashboard using real data extracted from Marine Biodiversity and Oceanography repositories and then validating the proposed conceptual model using competency questions. The second approach has to do with validation through case studies defined together with researchers from the Scientific and Technological Center (CENPAT-CONICET). En este artículo se presenta el desarrollo de un tablero de mando basado en la nube llamado ODP- DASHBOARD (Ocean Data Platform), para gestionar información de los dominios de Biodiversidad Marina y Oceanografía. En este contexto, el paradigma Linked Open Data (LOD) ha surgido como un conjunto de mejores prácticas para conectar, compartir y exponer datos y conocimiento. Una parte central de este paradigma son las ontologias, que permiten la definición de vocabularios compartidos y modelos conceptuales que ayudan a integrar esta información. Estas consideraciones proporcionan una fuerte motivación para formular un sistema que tenga en cuenta las características geoespaciales que puedan proporcionar respuestas a preguntas como las siguientes: (i) ¿Cómo podemos definir regiones espaciales para nuestros estudios ? (ii) ¿ Cómo se distribuyen las especies en una región determinada? (iii) Dada una georeferencia particular, ¿a qué región geográfica pertenece? (iv) ¿Cómo relacionar las ocurrencias de especies con las variables ambientales dentro de una región específica ?. Este sistema se compone de (i) Arquitectura; (ii) Modelo conceptual y (iii) Conjunto de datos enlazados para su explotación a través de un endpoint SPARQL. La evaluación se realizó desde dos enfoques, el primero de ellos consiste en validar el tablero de mando utilizando datos reales extraídos de repositorios de Biodiversidad Marina y Oceanografía y luego validar el modelo conceptual propuesto mediante preguntas de competencias. El segundo enfoque tiene que ver con la validación a través de estudios de casos definidos en conjunto con investigadores del Centro Científico y Tecnológico (CENPAT-CONICET). Facultad de Informática Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 182-192
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Ocean sensors
SSN/SOSA ontology
RD- FLib
Aqualink
sensores oceánicos
ontologia SSN/SOSA
spellingShingle Ciencias Informáticas
Ocean sensors
SSN/SOSA ontology
RD- FLib
Aqualink
sensores oceánicos
ontologia SSN/SOSA
Nuñez, Gustavo
Buckle, Carlos Ezequiel
Zárate, Marcos Daniel
ODP-DASHBOARD: enhancing marine species conservation in the South Atlantic through linked open data integration
topic_facet Ciencias Informáticas
Ocean sensors
SSN/SOSA ontology
RD- FLib
Aqualink
sensores oceánicos
ontologia SSN/SOSA
description This paper presents the development of a Cloud-based dashboard called ODP-DASHBOARD (Ocean Data Platform), to manage information from the Marine Biodiversity domains and Oceanography. In this context, the Linked Open Data (LOD) paradigm has emerged as a set of best practices for connecting, sharing and exposing data and knowledge. A central part of this paradigm are ontologies, which allow the definition of shared vocabularies and conceptual models that help integrate this information. These considerations provide a strong motivation to formulate a system that takes into account geospatial characteristics that can provide answers to questions such as the following: (i) How can we define spatial regions for our studies? (ii) How are species distributed in a given region ? (iii) Given a particular georeference, what geographic region does it belong to? (iv) How to relate species occurrences to environmental variables within a specific region ?. This system is composed of (i) Architecture; (ii) Conceptual model and (iii) Linked data set for exploitation through a SPARQL endpoint. The evaluation was carried out from two approaches, the first of which consists of validating the dashboard using real data extracted from Marine Biodiversity and Oceanography repositories and then validating the proposed conceptual model using competency questions. The second approach has to do with validation through case studies defined together with researchers from the Scientific and Technological Center (CENPAT-CONICET).
format Articulo
Articulo
author Nuñez, Gustavo
Buckle, Carlos Ezequiel
Zárate, Marcos Daniel
author_facet Nuñez, Gustavo
Buckle, Carlos Ezequiel
Zárate, Marcos Daniel
author_sort Nuñez, Gustavo
title ODP-DASHBOARD: enhancing marine species conservation in the South Atlantic through linked open data integration
title_short ODP-DASHBOARD: enhancing marine species conservation in the South Atlantic through linked open data integration
title_full ODP-DASHBOARD: enhancing marine species conservation in the South Atlantic through linked open data integration
title_fullStr ODP-DASHBOARD: enhancing marine species conservation in the South Atlantic through linked open data integration
title_full_unstemmed ODP-DASHBOARD: enhancing marine species conservation in the South Atlantic through linked open data integration
title_sort odp-dashboard: enhancing marine species conservation in the south atlantic through linked open data integration
publishDate 2024
url http://sedici.unlp.edu.ar/handle/10915/173751
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AT zaratemarcosdaniel odpdashboardenhancingmarinespeciesconservationinthesouthatlanticthroughlinkedopendataintegration
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