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Our work on human-driven Linked Data quality assessment focuses on applying crowdsourcing techniques to annotate RDF triples with their corresponding quality issue. Given a set of quality issues Q and a set T of RDF triples to be assessed, we formally define the annotation of triples with their corresponding quality issues as follows.
http://purl.org/np/RAuqai5JIJ0-A5cmoxcp_ipB2IZ5312qOjQmUYXUUQb_Q#paragraph
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http://dx.doi.org/10.3233/SW-160239
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2019-11-08T18:05:11+01:00
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