Debattista, JeremyJeremyDebattistaLange, ChristophChristophLangeAuer, SörenSörenAuer2022-03-132022-03-132015https://publica.fraunhofer.de/handle/publica/395128With the increasing adoption and growth of the Linked Open Data cloud, the variety of the Web of Data makes it challenging to determine the quality of the data published on the Web and to subsequently make this information explicit to data consumers. In this demo paper we describe Luzzu, a scalable quality assessment framework for Linked Data. Apart from providing quality metadata and quality problem reports that can be used for data cleaning, Luzzu is extensible: third party metrics can be easily plugged-in the framework. Hence, the extensibility of Luzzu enables the quality assessment in light of "fitness for use".enconference paper