Abstract
Various RDF data have been published in the Semantic Web. A key challenge for users to reuse these data is in understanding the large and unfamiliar RDF data, especially when the data schema is absent or when different schemas are mixed. In this paper, we describe a tool that can construct the actual schema, gather corresponding statistics, and can present a visual, UML diagram for RDF data sources, such as SPARQL endpoints or RDF dumps. Moreover, for datasets with complex structure, the tool can mine the class subsumptions and then provide a concise visualization that would serve as a big picture for users. The experimental results compare our approach and ExpLOD using seven datasets (including DBpedia) from the Linked Data cloud. The performance evaluations show that our approach is more efficient than ExpLOD. The concise visualization experiments on complex datasets such as DBpedia show that our approach is feasible.
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