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Referring back to the research questions formulated in Section 1, our experiments let us identify the strengths and weaknesses of applying crowdsourcing mechanisms for data quality assessment, following the Find-Fix-Verify pattern. Regarding the precision achieved in both workflows, we compared the outcomes produced in each stage by the different crowds against a manually defined gold standard; precision values achieved by both crowds show that crowdsourcing workflows offer feasible solutions to enhance the quality of Linked Data data sets (RQ1).
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2019-11-10T18:05:11+01:00
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