. . . . "In this paper, we proposed and compared crowdsourcing mechanisms to evaluate the quality of Linked Data (LD); the study was conducted in particular on the DBpedia dataset. Two different types of crowds and mechanisms were investigated for the initial detec- tion of quality issues: object value, datatype and language tags, and interlinks. We secondly focused on adapting the Find-Fix-Verify crowdsourcing pattern to exploit the strengths of experts and lay workers and leverage the results from the Find-only approaches." . . . . "2019-11-10T18:05:11+01:00"^^ . .