ACRyLIQ: Leveraging DBpedia for Adaptive Crowdsourcing in Linked Data Quality Assessment

Umair Ul Hassan, Edward Curry, Amrapali Zaveri, Edgard Marx, Jens Lehmann

Research output: Contribution to conference › Paper › Academic

Original language	English
Publication status	Published - 2016
Externally published	Yes
Event	20th International Conference on Knowledge Engineering and Knowledge Management (EKAW), - Bologna, Italy Duration: 19 Nov 2016 → 23 Nov 2016

Conference	20th International Conference on Knowledge Engineering and Knowledge Management (EKAW),
Country	Italy
City	Bologna
Period	19/11/16 → 23/11/16

Cite this

Hassan, U. U., Curry, E., Zaveri, A., Marx, E., & Lehmann, J. (2016). ACRyLIQ: Leveraging DBpedia for Adaptive Crowdsourcing in Linked Data Quality Assessment. Paper presented at 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW), , Bologna, Italy.

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title = "ACRyLIQ: Leveraging DBpedia for Adaptive Crowdsourcing in Linked Data Quality Assessment",

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author = "Hassan, {Umair Ul} and Edward Curry and Amrapali Zaveri and Edgard Marx and Jens Lehmann",

year = "2016",

language = "English",

note = "20th International Conference on Knowledge Engineering and Knowledge Management (EKAW), ; Conference date: 19-11-2016 Through 23-11-2016",

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TY - CONF

T1 - ACRyLIQ: Leveraging DBpedia for Adaptive Crowdsourcing in Linked Data Quality Assessment

AU - Hassan, Umair Ul

AU - Curry, Edward

AU - Zaveri, Amrapali

AU - Marx, Edgard

AU - Lehmann, Jens

PY - 2016

Y1 - 2016

KW - MOLE group_aksw lehmann marx mole simba zaveri

M3 - Paper

T2 - 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW),

Y2 - 19 November 2016 through 23 November 2016

ER -