Integration of Scientific Information through Linked Data : Preliminary Report

Autores
Michelan, Gastón; Braun, Germán; Cecchi, Laura; Fillottrani, Pablo Rubén
Año de publicación
2016
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
By implementing Linked Open Data principles throughout the scientific community, it is possible to make publications more visible and foster collaboration, both between universities, researching groups and partners. However, data should be curated and published, and a mature infrastructure needs to be provided to support it. In this work, we analyse the Linked Data’s weaknesses and propose an application prototype to evaluate the state-of-the-art methodologies and tools. As case of study, data from the authors’ researching groups will be publicly available in an attempt to integrate the scientific data of the Argentinian community which is an open issue. We plan to use this data to generate bottom-up methodological guidelines and thus enrich ontology-based conceptual models.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
Metodología
Evaluación
Linked Open Data
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/58237

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spelling Integration of Scientific Information through Linked Data : Preliminary ReportMichelan, GastónBraun, GermánCecchi, LauraFillottrani, Pablo RubénCiencias InformáticasMetodologíaEvaluaciónLinked Open DataBy implementing Linked Open Data principles throughout the scientific community, it is possible to make publications more visible and foster collaboration, both between universities, researching groups and partners. However, data should be curated and published, and a mature infrastructure needs to be provided to support it. In this work, we analyse the Linked Data’s weaknesses and propose an application prototype to evaluate the state-of-the-art methodologies and tools. As case of study, data from the authors’ researching groups will be publicly available in an attempt to integrate the scientific data of the Argentinian community which is an open issue. We plan to use this data to generate bottom-up methodological guidelines and thus enrich ontology-based conceptual models.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2016-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf70-82http://sedici.unlp.edu.ar/handle/10915/58237enginfo:eu-repo/semantics/altIdentifier/url/http://45jaiio.sadio.org.ar/sites/default/files/SAOA-06.pdfinfo:eu-repo/semantics/altIdentifier/issn/2451-7518info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/3.0/Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:59:07Zoai:sedici.unlp.edu.ar:10915/58237Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:59:07.603SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Integration of Scientific Information through Linked Data : Preliminary Report
title Integration of Scientific Information through Linked Data : Preliminary Report
spellingShingle Integration of Scientific Information through Linked Data : Preliminary Report
Michelan, Gastón
Ciencias Informáticas
Metodología
Evaluación
Linked Open Data
title_short Integration of Scientific Information through Linked Data : Preliminary Report
title_full Integration of Scientific Information through Linked Data : Preliminary Report
title_fullStr Integration of Scientific Information through Linked Data : Preliminary Report
title_full_unstemmed Integration of Scientific Information through Linked Data : Preliminary Report
title_sort Integration of Scientific Information through Linked Data : Preliminary Report
dc.creator.none.fl_str_mv Michelan, Gastón
Braun, Germán
Cecchi, Laura
Fillottrani, Pablo Rubén
author Michelan, Gastón
author_facet Michelan, Gastón
Braun, Germán
Cecchi, Laura
Fillottrani, Pablo Rubén
author_role author
author2 Braun, Germán
Cecchi, Laura
Fillottrani, Pablo Rubén
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Metodología
Evaluación
Linked Open Data
topic Ciencias Informáticas
Metodología
Evaluación
Linked Open Data
dc.description.none.fl_txt_mv By implementing Linked Open Data principles throughout the scientific community, it is possible to make publications more visible and foster collaboration, both between universities, researching groups and partners. However, data should be curated and published, and a mature infrastructure needs to be provided to support it. In this work, we analyse the Linked Data’s weaknesses and propose an application prototype to evaluate the state-of-the-art methodologies and tools. As case of study, data from the authors’ researching groups will be publicly available in an attempt to integrate the scientific data of the Argentinian community which is an open issue. We plan to use this data to generate bottom-up methodological guidelines and thus enrich ontology-based conceptual models.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
description By implementing Linked Open Data principles throughout the scientific community, it is possible to make publications more visible and foster collaboration, both between universities, researching groups and partners. However, data should be curated and published, and a mature infrastructure needs to be provided to support it. In this work, we analyse the Linked Data’s weaknesses and propose an application prototype to evaluate the state-of-the-art methodologies and tools. As case of study, data from the authors’ researching groups will be publicly available in an attempt to integrate the scientific data of the Argentinian community which is an open issue. We plan to use this data to generate bottom-up methodological guidelines and thus enrich ontology-based conceptual models.
publishDate 2016
dc.date.none.fl_str_mv 2016-09
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