Improving Open Science Using Linked Open Data: CONICET Digital Use Case

Scientific publication services are changing drastically, researchers demand intelligent search services to discover and relate scientific publications. Publishers need to incorporate semantic information to better organize their digital assets and make publications more discoverable. In this paper,...

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Detalles Bibliográficos
Autores principales: Zàrate, Marcos, Buckle, Carlos, Mazzanti, Renato, Samec, Gustavo
Formato: Articulo
Lenguaje:Inglés
Publicado: 2019
Materias:
Ciencias Informáticas
CONICET Digital
datos abiertos enlazados
ciencia abierta
Linked Open Data
Open Science
RDF
SPARQL
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/74419
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-74419
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
CONICET Digital
datos abiertos enlazados
ciencia abierta
Linked Open Data
Open Science
RDF
SPARQL
spellingShingle Ciencias Informáticas
CONICET Digital
datos abiertos enlazados
ciencia abierta
Linked Open Data
Open Science
RDF
SPARQL
Zàrate, Marcos
Buckle, Carlos
Mazzanti, Renato
Samec, Gustavo
Improving Open Science Using Linked Open Data: CONICET Digital Use Case
topic_facet Ciencias Informáticas
CONICET Digital
datos abiertos enlazados
ciencia abierta
Linked Open Data
Open Science
RDF
SPARQL
description Scientific publication services are changing drastically, researchers demand intelligent search services to discover and relate scientific publications. Publishers need to incorporate semantic information to better organize their digital assets and make publications more discoverable. In this paper, we present the on-going work to publish a subset of scientific publications of CONICET Digital as Linked Open Data. The objective of this work is to improve the recovery and reuse of data through Semantic Web technologies and Linked Data in the domain of scientific publications. To achieve these goals, Semantic Web standards and reference RDF schema’s have been taken into account (Dublin Core, FOAF, VoID, etc.). The conversion and publication process is guided by the methodological guidelines for publishing government linked data. We also outline how these data can be linked to other datasets DBLP, WIKIDATA and DBPEDIA on the web of data. Finally, we show some examples of queries that answer questions that initially CONICET Digital does not allow.
format Articulo
Articulo
author Zàrate, Marcos
Buckle, Carlos
Mazzanti, Renato
Samec, Gustavo
author_facet Zàrate, Marcos
Buckle, Carlos
Mazzanti, Renato
Samec, Gustavo
author_sort Zàrate, Marcos
title Improving Open Science Using Linked Open Data: CONICET Digital Use Case
title_short Improving Open Science Using Linked Open Data: CONICET Digital Use Case
title_full Improving Open Science Using Linked Open Data: CONICET Digital Use Case
title_fullStr Improving Open Science Using Linked Open Data: CONICET Digital Use Case
title_full_unstemmed Improving Open Science Using Linked Open Data: CONICET Digital Use Case
title_sort improving open science using linked open data: conicet digital use case
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/74419
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