Section: New Results

Exploring RDF Graphs through Aggregation

RDF graphs may be large and their structure is heterogeneous and complex, making them very hard to explore and understand. To help users discover valuable insights from RDF graph, we have developed Dagger, a tool which automatically recommends interesting aggregation queries over the RDF graphs; Dagger evaluates the queries and graphically shows their results to the user, in the ranked order of their interestingness. To specify aggregate RDF queries, we rely on a dialect of SPARQL 1.1, the standard Semantic Web query language, which has been recently enhanced with the capability to specify aggregation; for the interestingness measure, we relied on variance (or second statistic moment). Dagger was developed as part of the M2 internship of Shu Shang [26] and was demonstrated at the International Semantic Web Conference [15]. A short video of our demo appears online at: https://team.inria.fr/cedar/projects/dagger.