Dagger: Digging for interesting aggregates in RDF graphs

Yanlei Diao; Ioana Manolescu; Shu Shang

Dagger: Digging for interesting aggregates in RDF graphs

Research output: Contribution to journal › Conference article › peer-review

Abstract

RDF is the format of choice for representing SemanticWeb 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.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	1963
Publication status	Published - 1 Jan 2017
Event	2017 ISWC Posters and Demonstrations and Industry Tracks, ISWC-P and D-Industry 2017 - Vienna, Austria Duration: 23 Oct 2017 → 25 Oct 2017

Cite this

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title = "Dagger: Digging for interesting aggregates in RDF graphs",

abstract = "RDF is the format of choice for representing SemanticWeb 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.",

author = "Yanlei Diao and Ioana Manolescu and Shu Shang",

year = "2017",

month = jan,

day = "1",

language = "English",

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journal = "CEUR Workshop Proceedings",

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T1 - Dagger

T2 - 2017 ISWC Posters and Demonstrations and Industry Tracks, ISWC-P and D-Industry 2017

AU - Diao, Yanlei

AU - Manolescu, Ioana

AU - Shang, Shu

PY - 2017/1/1

Y1 - 2017/1/1

N2 - RDF is the format of choice for representing SemanticWeb 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.

AB - RDF is the format of choice for representing SemanticWeb 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.

UR - https://www.scopus.com/pages/publications/85033468277

M3 - Conference article

AN - SCOPUS:85033468277

SN - 1613-0073

VL - 1963

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 23 October 2017 through 25 October 2017

ER -

Dagger: Digging for interesting aggregates in RDF graphs

Abstract

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