Integrating oceanographic sensor data using SSN/SOSA ontology

As the deployment of ocean sensors continues to grow, there is a growing need for standardized ways to represent and integrate sensor data from different sources. One approach to achieving this is through the use of Semantic Sensor Network (SSN/SOSA) ontology, which provides a common vocabulary and...

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Autores principales: Nuñez, Gustavo, Buckle, Carlos Ezequiel, Zárate, Marcos Daniel
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2023
Materias:
Ciencias Informáticas
Ocean sensors
SSN/SOSA ontology
RDFLib
Aqualink
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/155442
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-155442
record_format dspace
spelling I19-R120-10915-1554422023-07-11T20:01:30Z http://sedici.unlp.edu.ar/handle/10915/155442 isbn:978-950-34-2271-7 Integrating oceanographic sensor data using SSN/SOSA ontology Nuñez, Gustavo Buckle, Carlos Ezequiel Zárate, Marcos Daniel 2023-06 2023 2023-07-11T18:05:58Z en Ciencias Informáticas Ocean sensors SSN/SOSA ontology RDFLib Aqualink As the deployment of ocean sensors continues to grow, there is a growing need for standardized ways to represent and integrate sensor data from different sources. One approach to achieving this is through the use of Semantic Sensor Network (SSN/SOSA) ontology, which provides a common vocabulary and framework for describing sensors, observations, and their properties. In this paper, we present a method for converting ocean sensor data in CSV format to Resource Description Framework (RDF) using RDFLib library for Phyton and SSN/SOSA ontology. The resulting RDF triples can be stored in a triplestore for querying and analysis, providing a standardized representation of ocean sensor data that can be easily integrated with other data sources. Facultad de Informática Objeto de conferencia Objeto de conferencia 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 53-57
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
RDFLib
Aqualink
spellingShingle Ciencias Informáticas
Ocean sensors
SSN/SOSA ontology
RDFLib
Aqualink
Nuñez, Gustavo
Buckle, Carlos Ezequiel
Zárate, Marcos Daniel
Integrating oceanographic sensor data using SSN/SOSA ontology
topic_facet Ciencias Informáticas
Ocean sensors
SSN/SOSA ontology
RDFLib
Aqualink
description As the deployment of ocean sensors continues to grow, there is a growing need for standardized ways to represent and integrate sensor data from different sources. One approach to achieving this is through the use of Semantic Sensor Network (SSN/SOSA) ontology, which provides a common vocabulary and framework for describing sensors, observations, and their properties. In this paper, we present a method for converting ocean sensor data in CSV format to Resource Description Framework (RDF) using RDFLib library for Phyton and SSN/SOSA ontology. The resulting RDF triples can be stored in a triplestore for querying and analysis, providing a standardized representation of ocean sensor data that can be easily integrated with other data sources.
format Objeto de conferencia
Objeto de conferencia
author Nuñez, Gustavo
Buckle, Carlos Ezequiel
Zárate, Marcos Daniel
author_facet Nuñez, Gustavo
Buckle, Carlos Ezequiel
Zárate, Marcos Daniel
author_sort Nuñez, Gustavo
title Integrating oceanographic sensor data using SSN/SOSA ontology
title_short Integrating oceanographic sensor data using SSN/SOSA ontology
title_full Integrating oceanographic sensor data using SSN/SOSA ontology
title_fullStr Integrating oceanographic sensor data using SSN/SOSA ontology
title_full_unstemmed Integrating oceanographic sensor data using SSN/SOSA ontology
title_sort integrating oceanographic sensor data using ssn/sosa ontology
publishDate 2023
url http://sedici.unlp.edu.ar/handle/10915/155442
work_keys_str_mv AT nunezgustavo integratingoceanographicsensordatausingssnsosaontology
AT bucklecarlosezequiel integratingoceanographicsensordatausingssnsosaontology
AT zaratemarcosdaniel integratingoceanographicsensordatausingssnsosaontology
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