Estudo sobre a incorporação de dados em bibliotecas digitais de teses e dissertações utilizando linked data

• Ano de defesa: 2017
• Autor(a) principal: Umberto Lima Diniz
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Minas Gerais; UFMG
• Palavras-chave em Português: Linked data Biblioteca digital; Recuperação da informação; Bibliotecas digitais; Linked data; Ciência da informação
• Link de acesso: http://hdl.handle.net/1843/BUBD-AXZMR4

The aim of this research was to present a study on the possibility of using Linked Data to process information from digital libraries of theses and dissertations. Linked Data is a set of good practices proposed by Tim Berners-lee et al (2001). The digital library evaluated was the digitial library of theses and dissertations (BDTD) of UFMG. In order to do so, the work of Maculan (2011) was used, from the selection made by the author was made a new random selection of a set of 10 documents which were used for this study. The documents selected for this research were located in the Biblioiteca Digital database of theses and dissertations and identified with a URI provided by BDTD itself. The ontology created by Maculan provided the classes and terms to relate to the documents and these were used as elements to construct the triples in Linked Data. Since the triple is formed by Subject, Predicate and Object were used the URIs of the documents to identify the subject; The set of Dublin elements and their qualifiers to identify the predicate, and finally the DBpedia Project to identify URIs for the terms of the taxonomy. The use of the DBPedia Project was due to its multidisciplinary character and wide availability