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 conferencePaperAcademic

Original languageEnglish
Publication statusPublished - 2016
Externally publishedYes
Event20th International Conference on Knowledge Engineering and Knowledge Management (EKAW), - Bologna, Italy
Duration: 19 Nov 201623 Nov 2016

Conference

Conference20th International Conference on Knowledge Engineering and Knowledge Management (EKAW),
CountryItaly
CityBologna
Period19/11/1623/11/16

Keywords

  • MOLE group_aksw lehmann marx mole simba zaveri

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.