Toward automatic generation of SPARQL result set visualizations: A use case in service monitoring

Abstract

The problem of representing RDF data using charts, dashboards, maps and so on has become pressing, in particular to prove the value of the Semantic Web to enhance the analysis of business data. State of the art solutions focus on mapping query results to a specific chart type or view and then manually writing the procedure that creates the final dashboard, but whenever a different visualization model is required, the mapping process needs to be repeated. In this paper we propose a semi-automatic approach that generates various charts from SPARQL queries over data represented as RDF graphs, we introduce and describe the generic approach and present a use case scenario in the context of service monitoring.