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To answer these questions, we (i) first launched a contest that acquired 58 experts knowledgeable in Linked Data to find and classify erroneous RDF triples from DBpedia (Section 4.1). They inspected 68, 976 triples in total. These triples were then (ii) submitted as paid microtasks on MTurk to be examined by workers on the MTurk platform in a similar way (Section 4.2). Each approach (contest and paid microtasks) makes several assumptions about the audiences they address (the ‘crowd’) and their skills. This is reflected in the design of the crowdsourcing tasks and the related in- centive mechanisms. The results of both crowds were then compared to a manually created gold standard.
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2019-11-10T12:34:11+01:00
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