Demo – Paper 539

Dagger: Digging for Interesting Aggregates in RDF Graphs Yanlei Diao, Ioana Manolescu and Shu Shang Demo Download paper (preprint)

Abstract

RDF is the format of choice for representing Semantic Web data. 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. We propose to demonstrate Dagger to the ISWC audience, based on popular real and synthetic RDF graphs.