Information retrieval with Linked Open Data

Abstract

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 nature derived from the use of graphic representations that enables data query and access. The adaptation of LOD in information retrieval systems represents a paradigm shift related to the type of technology used in their structures. For example, moving from a syntactic conceptual model to a semantic one.