Servicios Personalizados
Revista
Articulo
Indicadores
Citado por SciELO
Accesos
Links relacionados
Similares en SciELO
Compartir
Investigación bibliotecológica
versión On-line ISSN 2448-8321versión impresa ISSN 0187-358X
Resumen
AVILA-BARRIENTOS, Eder. Information retrieval with Linked Open Data. Investig. bibl [online]. 2022, vol.36, n.91, pp.125-146. Epub 15-Nov-2022. ISSN 2448-8321. https://doi.org/10.22201/iibi.24488321xe.2022.91.58567.
The objective of this article is to analyze the process of information retrieval (IR) through the application of Linked Open Data (LOD). The methodology used in this work consists of two parts. In the first one, a literature review was carried out, supported by hermeneutics and discourse analysis to examine information resources that addressed the models, the structures, the case studies, the concept tests and the structural analysis of the implementation of linked open data in the information retrieval process. Successively, based on the analytical-synthetic method, an open-license data source was selected due to the fact that it allowed the data to be reused and processed in order to expose it to the information retrieval context, by structuring it in RDF and its respective query with SPARQL. The results obtained permit an approach to the methodological principles of linked open data processing and an analysis of the information acquired, which has an integrative and intuitive related to the type of technology used in their structures. For example, moving from a syntactic conceptual model to a semantic one.
Palabras llave : Linked Open Data; Information Retrieval; SPARQL; RDF.