Detecting Linked Data quality issues via crowdsourcing: A DBpedia study

    Semantic Web, Volume 9, Issue 3, 2018, Pages 303-335.

    Cited by: 23|Bibtex|Views29|Links
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    Abstract:

    In this paper we examine the use of crowdsourcing as a means to master Linked Data quality problems that are difficult to solve automatically. We base our approach on the analysis of the most common errors encountered in Linked Data sources, and a classification of these errors according to the extent to which they are likely to be amenab...More

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