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In each type of task, the LD experts and MTurk workers applied different skills and strategies to solve the assignments successfully (RQ2). The data collected for each type of task suggests that the effort of LD experts must be applied on tasks demanding specific-domain skills beyond common knowledge. For instance, LD experts successfully identified issues on very specific datatypes, e.g., when time units are simply annotated as numbers ( xsd:Integer or xsd:Float ). In the same type of task, workers focused on assessing triples annotated with language tags, instead of datatypes like the experts. The MTurk crowd has proven to be very skilled at verifying whether literals are written in a certain language. In addition, workers were exceptionally good and efficient at performing comparisons between data entries, specially when some contextual information is provided.
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