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Dagger: Digging for Interesting Aggregates in RDF Graphs

Yanlei Diao 1, 2, 3 Ioana Manolescu 1, 2, 3 Shu Shang 1, 2, 3 
1 CEDAR - Rich Data Analytics at Cloud Scale
LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau], Inria Saclay - Ile de France
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 interesting-ness. We propose to demonstrate Dagger to the ISWC audience, based on popular real and synthetic RDF graphs.
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Submitted on : Friday, August 25, 2017 - 6:09:16 PM
Last modification on : Wednesday, April 6, 2022 - 3:48:19 PM


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  • HAL Id : hal-01577464, version 1


Yanlei Diao, Ioana Manolescu, Shu Shang. Dagger: Digging for Interesting Aggregates in RDF Graphs. International Semantic Web Conference (ISWC), Oct 2017, Vienna, Austria. ⟨hal-01577464⟩



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