Luzzu - A Methodology and Framework for Linked Data Quality Assessment

  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},
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
Highly Cited
This paper has 24 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 16 extracted citations

Linked Thesauri Quality Assessment and Documentation for Big Data Discovery

2017 International Conference on High Performance Computing & Simulation (HPCS) • 2017
View 6 Excerpts
Highly Influenced

Semantic Technology

Lecture Notes in Computer Science • 2016
View 8 Excerpts
Highly Influenced

Semantic Data Ingestion for Intelligent, Value-Driven Big Data Analytics

2018 4th International Conference on Big Data Innovations and Applications (Innovate-Data) • 2018
View 1 Excerpt

A Big Data Framework for Electric Power Data Quality Assessment

2017 14th Web Information Systems and Applications Conference (WISA) • 2017
View 1 Excerpt


Publications referenced by this paper.
Showing 1-5 of 5 references

HDT-it: Storing, sharing and visualizing huge RDF datasets

Mario Arias, Javier D Fernández, Miguel A Martı́nez-Prieto, Claudio Gutiérrez
In ISWC • 2011
View 3 Excerpts
Highly Influenced

When and how to develop domain-specific languages

ACM Comput. Surv. • 2005
View 3 Excerpts
Highly Influenced

Domain-Specific Languages: An Annotated Bibliography

SIGPLAN Notices • 2000
View 3 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…