A visual summary for linked open data sources
Fabio Benedetti, Sonia Bergamasch, Laura Po · IRIS UNIMORE (University of Modena and Reggio Emilia) · 2014
Abstract. In this paper we propose LODeX, a tool that produces a represen-tative summary of a Linked open Data (LOD) source starting from scratch, thus supporting users in exploring and understanding the contents of a dataset. The tool takes in input the URL of a SPARQL endpoint and launches a set of pre-defined SPARQL queries, from the results of the queries it generates a visual summary of the source. The summary reports statistical and structural informa-tion of the LOD dataset and it can be browsed to focus on particular classes or to explore their properties and their use. LODeX was tested on the 137 public SPARQL endpoints contained in Data Hub (formerly CKAN)1, one of the main Open Data catalogues. The statistical and structural information extraction was successfully performed on 107 sources, among these the most significant ones are included in the online version of the tool2. 1