Luzzu - A Methodology and Framework for Linked Data Quality Assessment

@article{Debattista2016LuzzuA,
  title={Luzzu - A Methodology and Framework for Linked Data Quality Assessment},
  author={Jeremy Debattista and S{\"o}ren Auer and Christoph Lange},
  journal={J. Data and Information Quality},
  year={2016},
  volume={8},
  pages={4:1-4:32}
}
The increasing variety of Linked Data on the Web makes it challenging to determine the quality of this data and, subsequently, to make this information explicit to data consumers. Despite the availability of a number of tools and frameworks to assess Linked Data Quality, the output of such tools is not suitable for machine consumption, and thus consumers can hardly compare and rank datasets in the order of fitness for use. This article describes a conceptual methodology for assessing Linked… CONTINUE READING
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