Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/47265
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Azevedo, Bruno Miguel | por |
dc.contributor.author | Sá, Jorge Vaz de Oliveira e | por |
dc.contributor.author | Baptista, Ana Alice | por |
dc.contributor.author | Branco, Pedro | por |
dc.date.accessioned | 2017-11-13T13:45:56Z | - |
dc.date.available | 2017-11-13T13:45:56Z | - |
dc.date.issued | 2017 | - |
dc.identifier.isbn | 978-1-5386-2079-3 | - |
dc.identifier.uri | https://hdl.handle.net/1822/47265 | - |
dc.description.abstract | More than 6,849.32 new research journal articles are published every day! Who has time to read every article or document that’s relevant to their research? Access to the right and relevant information is paramount for scientific discoveries. Filtering relevant information has become a fundamental challenge in the actual scientific deluge panorama. As information glut grows ever worse, understanding and visualizing the science social behavior may become our only hope for handling a growing deluge of scientific information. It is therefore fundamental to analyze and interactively visualize the science social space. This paper theoretically conceptualizes an approach aimed at the filtering and navigation of relevant Scientific Knowledge Objects (SKOs) based on a symbiosis between different sub-disciplines domains. We present two main contributions, a comparison among several projects with some relevant use of information visualization in scholarly scientific navigation; and an architecture which will be in line with the most recent international standards and good practices for Open Data, especially those related to Linked Open Data capable to perform an innovative information visualization of relevant SKOs. These contributions are relevant to scholarly and to practitioner’s communities and to who want to access and navigate in relevant SKOs. | - |
dc.description.sponsorship | This work has been supported by COMPETE: POCI-01- 0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013. | - |
dc.language.iso | eng | por |
dc.publisher | IEEE | - |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147280/PT | por |
dc.rights | openAccess | por |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | por |
dc.subject | Information visualization | por |
dc.subject | Scholarly communication | por |
dc.subject | Information science | por |
dc.subject | Scientometrics | por |
dc.subject | Architecture | por |
dc.subject | Open data | por |
dc.subject | Linked open data | por |
dc.subject | Altmetrics | por |
dc.subject | Scholarly Communication | - |
dc.subject | Architecture | - |
dc.subject | Open Data | - |
dc.subject | Linked Open Data | - |
dc.subject | Altmetrics | - |
dc.title | Information visualization: conceptualizing new paths for filtering and navigate in scientific knowledge objects | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | Sim | por |
oaire.citationStartPage | 85 | por |
oaire.citationEndPage | 92 | por |
oaire.citationConferencePlace | Universidade do Minho, Guimarães | por |
oaire.citationVolume | 2017-January | por |
dc.identifier.doi | 10.1109/EPCGI.2017.8124310 | - |
dc.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | por |
dc.description.publicationversion | info:eu-repo/semantics/publishedVersion | por |
dc.subject.wos | Science & Technology | por |
sdum.conferencePublication | EPCGI’2017 – 24º Encontro Português de Computação Gráfica e Interação | por |
sdum.bookTitle | 2017 24 ENCONTRO PORTUGUES DE COMPUTACAO GRAFICA E INTERACAO (EPCGI) | por |
Aparece nas coleções: | DSI - Sociedade da Informação |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2017_azevedo_infovis_conceptualizing_paths_filtering_navigate_sko.pdf | 5,54 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons