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  4. Luzzu - A framework for linked data quality assessment
 
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2015
Conference Paper
Title

Luzzu - A framework for linked data quality assessment

Abstract
With 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".
Author(s)
Debattista, Jeremy  
Lange, Christoph  orcid-logo
Auer, Sören  
Mainwork
ISWC-P&D 2015, ISWC 2015 Posters & Demonstrations Track. Online resource  
Conference
International Semantic Web Conference (ISWC) 2015  
Link
Link
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
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