Visualizing open research data using knowledge graphs
methodology and application of DDI-RDF and DataCite Ontology
DOI:
https://doi.org/10.54886/scire.v30i2.4963Keywords:
Knowledge graphs, Data visualization, Open research data, Data exploration, Knowledge discovery, DDI-RDF, DataCite OntologyAbstract
The use of knowledge graphs to visualise open research data is analysed. It explores the background, development and levels of application of knowledge graphs. A methodology for data management and analysis is presented using knowledge graphs, semantic vocabularies and ontologies such as DDI-RDF and DataCite Ontology. Two sets of open research data related to musicology and earth and environmental sciences were processed. These data were located in the e-CienciaDatos and CORA repositories respectively. The aim was to contrast the handling and visualisation of textual and numerical data in order to identify their respective analysis variables. It was found that the visualisation of the visualisation of data through the use of knowledge graphs allows for the intuitive and interactive identification of patterns in the data, which refer to an interaction between its various creators and actors. Knowledge graphs are seen as a tool that allows the visualisation of large amounts of data, because in the era of artificial intelligence and big data, they can be a method for identifying complex behaviours that serve as a latent decision-making tool.Downloads
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© 1996- . Authors retain their copyright, but transfer the exploitation rights (reproduction, distribution, public communication and transformation) to the journal in a non-exclusive way and guarantee the right to the first publication of their work to the journal, which will be simultaneously subjected to the license CC BY-NC-ND. Authors take whole personal responsibility on fulfilling all the appropiate ethical codes and laws, and obtaining all the necessary copyright permissions regarding their articles. Institutional and self- archiving is allowed and encouraged.
