Dagger: Digging for Interesting Aggregates in RDF Graphs

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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Communication dans un congrès
International Semantic Web Conference (ISWC), Oct 2017, Vienna, Austria. International Semantic Web Conference (ISWC), 2017, 〈https://iswc2017.semanticweb.org/〉
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Contributeur : Ioana Manolescu <>
Soumis le : vendredi 25 août 2017 - 18:09:16
Dernière modification le : jeudi 10 mai 2018 - 02:06:45

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  • HAL Id : hal-01577464, version 1

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Yanlei Diao, Ioana Manolescu, Shu Shang. Dagger: Digging for Interesting Aggregates in RDF Graphs. International Semantic Web Conference (ISWC), Oct 2017, Vienna, Austria. International Semantic Web Conference (ISWC), 2017, 〈https://iswc2017.semanticweb.org/〉. 〈hal-01577464〉

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