1 resultado para likelihood to publication
em Universidad Politécnica de Madrid
Filtro por publicador
- Aberdeen University (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (4)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archive of European Integration (11)
- Aston University Research Archive (6)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (2)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (15)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (36)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (6)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (94)
- Brock University, Canada (12)
- Bucknell University Digital Commons - Pensilvania - USA (3)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CaltechTHESIS (1)
- CentAUR: Central Archive University of Reading - UK (55)
- Collection Of Biostatistics Research Archive (11)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (15)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (47)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (3)
- Department of Computer Science E-Repository - King's College London, Strand, London (1)
- Digital Commons - Michigan Tech (4)
- Digital Commons @ Winthrop University (1)
- Digital Commons at Florida International University (4)
- Digital Peer Publishing (1)
- Digital Repository at Iowa State University (1)
- DigitalCommons@The Texas Medical Center (24)
- DigitalCommons@University of Nebraska - Lincoln (10)
- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (62)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (2)
- Georgian Library Association, Georgia (1)
- Institute of Public Health in Ireland, Ireland (17)
- Instituto Politécnico do Porto, Portugal (6)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (46)
- Memorial University Research Repository (1)
- National Center for Biotechnology Information - NCBI (1)
- Nottingham eTheses (2)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (2)
- Publishing Network for Geoscientific & Environmental Data (21)
- QSpace: Queen's University - Canada (1)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (3)
- Repositório da Produção Científica e Intelectual da Unicamp (5)
- Repositório digital da Fundação Getúlio Vargas - FGV (8)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (46)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (6)
- Scielo Saúde Pública - SP (21)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (1)
- Universidad Autónoma de Nuevo León, Mexico (1)
- Universidad del Rosario, Colombia (2)
- Universidad Politécnica de Madrid (1)
- Universidade do Minho (10)
- Universidade dos Açores - Portugal (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (3)
- Universitat de Girona, Spain (4)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (107)
- Université de Montréal (1)
- Université de Montréal, Canada (15)
- University of Connecticut - USA (5)
- University of Michigan (80)
- University of Queensland eSpace - Australia (30)
- University of Southampton, United Kingdom (1)
Resumo:
Publishing Linked Data is a process that involves several design decisions and technologies. Although some initial guidelines have been already provided by Linked Data publishers, these are still far from covering all the steps that are necessary (from data source selection to publication) or giving enough details about all these steps, technologies, intermediate products, etc. Furthermore, given the variety of data sources from which Linked Data can be generated, we believe that it is possible to have a single and uni�ed method for publishing Linked Data, but we should rely on di�erent techniques, technologies and tools for particular datasets of a given domain. In this paper we present a general method for publishing Linked Data and the application of the method to cover di�erent sources from di�erent domains.